Floating gate based 3-terminal analog synapse device
12237426 ยท 2025-02-25
Assignee
Inventors
- Shinhyun Choi (Daejeon, KR)
- Beomjin Kim (Daejeon, KR)
- Tae Ryong KIM (Daejeon, KR)
- See On Park (Daejeon, KR)
Cpc classification
G06F17/16
PHYSICS
H10D64/667
ELECTRICITY
H10D30/69
ELECTRICITY
H10D30/694
ELECTRICITY
H10D30/6891
ELECTRICITY
International classification
G06F17/16
PHYSICS
G11C16/14
PHYSICS
H10D30/01
ELECTRICITY
H10D30/69
ELECTRICITY
Abstract
Provided is a floating gate based 3-terminal analog synapse device including a silicon channel layer; a gate oxide deposited on the silicon channel layer; a charge trap layer deposited on the gate oxide, wherein charges are injected into the charge trap layer; a barrier layer deposited on the charge trap layer, and having lower electron affinity than electron affinity of a material of the charge trap layer; and a gate metal layer deposited on an upper surface of the barrier layer, wherein a gate voltage is applied to the gate metal layer.
Claims
1. A floating gate based 3-terminal analog synapse device, comprising: a silicon channel layer; a gate oxide deposited on the silicon channel layer; a charge trap layer deposited on the gate oxide, wherein charges are injected into the charge trap layer; a barrier layer deposited on the charge trap layer, and having lower electron affinity than electron affinity of a material of the charge trap layer; and a gate metal layer deposited on an upper surface of the barrier layer, wherein a gate voltage is applied to the gate metal layer, wherein each of a potential barrier height between the gate metal layer and the barrier layer and a potential barrier height between the barrier layer and the charge trap layer has a lower barrier than 2 eV.
2. The floating gate based 3-terminal analog synapse device of claim 1, wherein in case that a negative voltage is applied to the gate metal layer, the charges are injected into the charge trap layer, wherein in case that a positive voltage is applied to the gate metal layer, the charges are removed from the charge trap layer.
3. The floating gate based 3-terminal analog synapse device of claim 2, wherein the floating gate based 3-terminal analog synapse device comprising: a source including a source electrode formed in a first region on the silicon channel layer, without the gate oxide layer on silicon channel layer; and a drain including a drain electrode formed in a second region on the silicon channel layer, without the gate oxide layer on silicon channel layer.
4. The floating gate based 3-terminal analog synapse device of claim 2, wherein the gate oxide is stacked using at least one material selected from the group consisting of Si oxide, Si nitride, SiOxNy, Hf oxide, and Ta oxide by at least one method selected from thermal oxidation, chemical vapor deposition (CVD), and atomic layer deposition (ALD).
5. The floating gate based 3-terminal analog synapse device of claim 1, wherein the floating gate based 3-terminal analog synapse device comprising: a source including a source electrode formed in a first region on the silicon channel layer, without the gate oxide layer on silicon channel layer; and a drain including a drain electrode formed in a second region on the silicon channel layer, without the gate oxide layer on silicon channel layer.
6. The floating gate based 3-terminal analog synapse device of claim 5, wherein a conductance change is read by determining a current value between source-drain according to an amount of accumulated charges of the charge trap layer.
7. The floating gate based 3-terminal analog synapse device of claim 6, wherein in case of a write operation or erase operation of the synapse device, charge injection or removal is done from the gate metal layer to the charge trap layer using a potential difference between the channel between source-drain and the gate metal layer.
8. The floating gate based 3-terminal analog synapse device of claim 6, wherein in case of a read operation of the synapse device, after grounding or floating the gate metal layer, an output current is read using the voltage applied between source-drain and the read change in conductance.
9. The floating gate based 3-terminal analog synapse device of claim 5, wherein a selector device is formed on any one of the first region or the second region, and the selector device includes a charge trap layer; a barrier layer; and a source or drain electrode.
10. A floating gate based 3-terminal analog synapse device array, comprising a plurality of cells, wherein in case that the synapse device of claim 9 is manufactured in an array, the selector device interrupts a sneak path flow of current in neighboring synapse devices generated by reverse voltage.
11. The floating gate based 3-terminal analog synapse device array of claim 10, wherein input voltage pulses applied to a plurality of bit lines of the synapse device array pass through each of the plurality of cells having a gate terminal connected to a plurality of word lines, and are converted into electric currents flowing in a plurality of source lines perpendicular to the plurality of bit lines by conductance stored in each cell.
12. The floating gate based 3-terminal analog synapse device array of claim 11, wherein the converted electric currents pass through cells connected to a common source line among the plurality of cells, and are combined into an output current value of the common source line to perform vector-matrix multiplication.
13. The floating gate based 3-terminal analog synapse device of claim 1, wherein the silicon channel layer is isolated.
14. The floating gate based 3-terminal analog synapse device of claim 1, wherein the gate oxide is stacked using at least one material selected from the group consisting of Si oxide, Si nitride, SiOxNy, Hf oxide, and Ta oxide by at least one method selected from thermal oxidation, chemical vapor deposition (CVD), and atomic layer deposition (ALD).
15. The floating gate based 3-terminal analog synapse device of claim 1, wherein the charge trap layer includes at least one selected from the group consisting of W oxide, Mo oxide, In oxide, V oxide, and ITO.
16. The floating gate based 3-terminal analog synapse device of claim 1, wherein the barrier layer includes at least one selected from the group consisting of amorphous silicon, hydrogenated amorphous silicon, Si oxide, Ti oxide, Ta oxide, Hf oxide, Si nitride, SiOxNy, Al oxide, Zr oxide, Zn oxide, Nb oxide, and FTO.
17. The floating gate based 3-terminal analog synapse device of claim 1, wherein the floating gate based 3-terminal analog synapse device comprising: a source including a source electrode formed in a first region on the silicon channel layer, without the gate oxide layer on silicon channel layer; and a drain including a drain electrode formed in a second region on the silicon channel layer, without the gate oxide layer on silicon channel layer.
18. The floating gate based 3-terminal analog synapse device of claim 1, wherein the gate oxide is stacked using at least one material selected from the group consisting of Si oxide, Si nitride, SiOxNy, Hf oxide, and Ta oxide by at least one method selected from thermal oxidation, chemical vapor deposition (CVD), and atomic layer deposition (ALD).
19. The floating gate based 3-terminal analog synapse device of claim 1, wherein the charge trap layer includes at least one selected from the group consisting of W oxide, Mo oxide, In oxide, V oxide, and ITO.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1) The above and other features and advantages will become more apparent to those of ordinary skill in the art by describing in detail exemplary embodiments with reference to the attached drawings, in which:
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(19) In the following description, the same or similar elements are labeled with the same or similar reference numbers.
DETAILED DESCRIPTION
(20) The present invention now will be described more fully hereinafter with reference to the accompanying drawings, in which embodiments of the invention are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
(21) The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms a, an and the are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms includes, comprises and/or comprising, when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. In addition, a term such as a unit, a module, a block or like, when used in the specification, represents a unit that processes at least one function or operation, and the unit or the like may be implemented by hardware or software or a combination of hardware and software.
(22) Reference herein to a layer formed on a substrate or other layer refers to a layer formed directly on top of the substrate or other layer or to an intermediate layer or intermediate layers formed on the substrate or other layer. It will also be understood by those skilled in the art that structures or shapes that are adjacent to other structures or shapes may have portions that overlap or are disposed below the adjacent features.
(23) In this specification, the relative terms, such as below, above, upper, lower, horizontal, and vertical, may be used to describe the relationship of one component, layer, or region to another component, layer, or region, as shown in the accompanying drawings. It is to be understood that these terms are intended to encompass not only the directions indicated in the figures, but also the other directions of the elements.
(24) Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
(25) Preferred embodiments will now be described more fully hereinafter with reference to the accompanying drawings. However, they may be embodied in different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
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(29) Referring to
(30) In particular, the present disclosure pays attention to electron affinity between materials and a potential barrier obtained therefrom, and in an embodiment of the present disclosure, the charge trap layer 310 uses a material having high electron affinity such as WO.sub.3, MoO.sub.3, In.sub.2O.sub.3, V.sub.2O.sub.5, and the barrier layer 410 of a material having lower electron affinity than the charge trap layer 310 is used between the charge trap layer 310 and the gate metal 510. The material of the barrier layer 410 may include Au, Pd, Pt, Ag, W, Al, Cu, Ru, Co, Ti, TiN, Ta, TaN, but the scope of the present disclosure is not limited thereto, and the scope of the present disclosure covers any material having electron affinity which is at least lower than the charge trap layer 310 and causing a potential barrier between the gate metal and the barrier layer to be equal to or less than 3 eV and a potential barrier between the barrier layer and the charge trap layer to be equal to or less than a predetermined level (3 eV) as described below.
(31) Accordingly, the barrier layer 410 of low electron affinity allows charges to easily move to the charge trap layer 310 and be stored in the charge trap layer 310, and lowers the barrier with the gate metal layer 510 as well. Using this, the floating gate based 3-terminal analog synapse device according to the present disclosure performs charge injection and removal from the gate metal layer 510 to the charge trap layer, and the depletion region of the source-drain channel below the gate is changed by the amount of injected charges, and under the same applied voltage, the current value between source-drain changes and this is recognized as a conductance change and read out, and through this, the analog synapse device operates.
(32) In an embodiment of the present disclosure, each of the potential barrier height between the gate metal layer and the barrier layer and the potential barrier height between the barrier layer 410 and the charge trap layer 310 is lower than 3 eV, and when the potential barrier is higher than 3 eV, a charge trapping phenomenon occurs and the synapse device loses linearity that is very important to the synapse device.
(33) Hereinafter, a method for operating a device according to the present disclosure will be described using the device of
(34) The operation of the floating gate based 3-terminal analog synapse device according to the first embodiment of the present disclosure will be briefly described with reference to
(35) In the case of the present disclosure, a material having high electron affinity is used for the charge trap layer 310, and the barrier layer 410 between the charge trap layer 310 and the gate metal layer 510 has a value of lower electron affinity than the charge trap layer 310 to allow charges to be stored in the charge trap layer 310.
(36) At the same time, the barrier layer 410 has a value of electron affinity that lowers the barrier with the gate metal layer 510, which makes charge movement easy.
(37) Using this, carrier (charge) injection and removal is done from the gate metal layer 510 to the charge trap layer 310.
(38) The depletion region of the source-drain channel below the gate is changed by the amount of injected carriers, and under the same applied voltage, the current value between source-drain changes and this is recognized as a change in conductance, and through this, the analog synapse device operates.
(39) That is, in the case of write operation or erase operation, carrier injection or removal is done from the gate metal layer 510 to the charge trap layer 310 using a potential difference between the channel between source-drain and the gate metal layer 510.
(40) In the case of read operation, after grounding GND or floating the gate metal layer 510, the output electric current is read by the applied voltage between source-drain to read a change in channel conductance with a change in depletion region of the channel between source-drain caused by the charges stored in the charge trap layer 310.
(41) Accordingly, the conductance of source-drain channel linearly changes in an analog form according to the pulses applied in the write or erase operation.
(42) Through this, as shown in
(43) As opposed to the operation of the existing floating gate based synapse device, it does not rely on electrons moving through the silicon oxide layer between gate and channel, thereby preventing the degradation of the silicon oxide layer caused by the charge movement through the silicon oxide layer and improving the durability of the device.
(44) Additionally, carrier injection and removal are done all over the charge trap layer 310, resulting in stable operation compared to the existing filament based memristor synapse device.
(45) As shown in
(46) Accordingly, linearity and symmetry are significantly improved on the graph of the long term potentiationlong term depression switching operation, so the amount of charges (or the number of pulses) necessary for desired weight updates is constantly maintained by a reduced correlation with the current conductance level which is the current resistance state of the device.
(47) Additionally, to determine the number of pulses to be applied for weight updates necessary for machine learning computation, it is not necessary to recognize the current state of the device because the amount of pulse number required to update the conductance is not a function of current state, thereby eliminating the need to additionally perform the read operation, so the overall operation time of the device reduces and the reliability of the device improves, resulting in more efficient neuromorphic computing.
(48) Hereinafter, a method for operating a device according to the present disclosure will be described using the device of
(49) The operation of the floating gate based 3-terminal analog synapse device according to the first embodiment of the present disclosure will be briefly described with reference to
(50) In the case of the present disclosure, a material having high electron affinity is used for the charge trap layer 310, and the barrier layer 410 between the charge trap layer 310 and the gate metal layer 510 has a value of lower electron affinity than the charge trap layer 310 to allow charges to be stored in the charge trap layer 310.
(51) At the same time, the barrier layer 410 has a value of electron affinity that lowers the barrier with the gate metal layer 510, which makes charge movement easy.
(52) Using this, carrier (charge) injection and removal is done from the gate metal layer 510 to the charge trap layer 310.
(53) The depletion region of the source-drain channel below the gate is changed by the amount of injected carriers, and under the same applied voltage, the current value between source-drain changes and this is recognized as a change in conductance, and through this, the analog synapse device operates.
(54) That is, in the case of write operation or erase operation, carrier injection or removal is done from the gate metal layer 510 to the charge trap layer 310 using a potential difference between the channel between source-drain and the gate metal layer 510.
(55) In the case of read operation, after grounding GND or floating the gate metal layer 510, the output electric current is read by the applied voltage between source-drain to read a change in channel conductance with a change in depletion region of the channel between source-drain caused by the charges stored in the charge trap layer 310.
(56) Accordingly, the conductance of source-drain channel linearly changes in an analog form according to the pulses applied in the write or erase operation.
(57) Through this, as shown in
(58) As opposed to the operation of the existing floating gate based synapse device, it does not rely on electrons moving through the silicon oxide layer between gate and channel, thereby preventing the degradation of the silicon oxide layer caused by the charge movement through the silicon oxide layer and improving the durability of the device.
(59) Additionally, carrier injection and removal are done all over the charge trap layer 310, resulting in stable operation compared to the existing filament based memristor synapse device.
(60) As shown in
(61) Accordingly, linearity and symmetry are significantly improved on the graph of the long term potentiation-long term depression switching operation, so the amount of charges (or the number of pulses) necessary for desired weight updates is constantly maintained by a reduced correlation with the current conductance level which is the current resistance state of the device.
(62) Additionally, to determine the number of pulses to be applied for weight updates necessary for machine learning computation, it is not necessary to recognize the current state of the device because the amount of pulse number required to update the conductance is not a function of current state, thereby eliminating the need to additionally perform the read operation, so the overall operation time of the device reduces and the reliability of the device improves, resulting in more efficient neuromorphic computing.
(63) The method for manufacturing a 3-terminal analog synapse device according to the first and second embodiments of the present disclosure will be described in detail with reference to
(64) First, Si channel isolation is performed in a silicon on insulator (SOI) which is monocrystalline silicon grown on an insulating substrate using mesa structure.
(65) Here, the mesa structure refers to a pattern having a saw-toothed upper layer generated as shown in
(66) A substrate layer 110 is formed using silicon.
(67) Referring to
(68) That is, to form the gate oxide 200, a SiO.sub.2 layer is formed using Plasma Enhanced Chemical Vapor Deposition (PECVD).
(69) Although this embodiment uses the silicon on insulator wafer, this is provided as an example, and a PNP channel or an NPN channel and a buried channel of the existing silicon wafer doping based deposition/enhancement MOSFET may be used. In such a case, for separation of each device, in addition to the mesa structure, LOCal Oxidation of Silicon (LOCOS) or Shallow Trench Isolation (STI) may be used.
(70) The gate oxide layer 200 formed in
(71) Through this, when the silicon channel layer 130 in
(72) The barrier layer 400 is formed using any one material selected from amorphous silicon (a-Si), hydrogenated amorphous silicon (a-Si: H), Si oxide, Ti oxide, Ta oxide, Hf oxide, Si nitride, SiOxNy, Al oxide, Zr oxide, Zn oxide, Nb oxide and FTO by ALD, CVD, sputtering and electron beam evaporation.
(73) In this instance, these materials used in the barrier layer 400 have a value of lower electron affinity than the charge trap layer 300 to allow charges to be stored in the charge trap layer 300, and at the same time, they have a value of electron affinity that lowers the barrier height with the gate metal layer 510 to make it easy to allow charges to move from the charge trap layer 300 to the gate metal layer 510.
(74) That is, as shown in
(75) When a negative voltage is applied to the gate voltage, charges are injected into the charge trap layer 310 as shown in
(76) In this instance, to maximize the effect of the barrier layer 410 and the charge trap layer 310, the material used in each layer may use two or more materials together.
(77) Additionally, carrier (charge) injection and removal may use thermionic emission, direct tunneling, a type of field emission tunneling, known as Fowler-Nordheim tunneling from the gate metal layer 510 to the charge trap layer 310, and may use band-to-band tunneling between the valance band of the barrier layer 410 and the conduction band of the charge trap layer 310 or trap assisted tunneling may be used.
(78) Through this, the 3-terminal analog synapse device of the present disclosure injects charges using small difference in electron affinity between the barrier layer and the gate metal layer 510, not the resistive switching layer, thereby improving the uniformity.
(79) Meanwhile, as shown in
(80) Alternatively, as shown in
(81) As shown in
(82) As shown in
(83) To this end, any one of electron beam evaporation, thermal evaporation, ALD and sputtering is used.
(84) In particular, the gate metal layer 510 is deposited using any one material selected from Au, Pd, Pt, Ag, W, Al, Cu, Ru, Co, Ti, TiN, Ta, TaN and ITO.
(85) As described above, although the 3-terminal analog synapse device according to the first embodiment of the present disclosure may be manufactured through the process of
(86) That is, as shown in
(87) Through this, it is possible to achieve the patterning of a material that resists etching and eliminate the need for an etching process, thereby simplifying the manufacturing process and preventing film surface damage that may occur in the etching process.
(88) Other embodiments of the present disclosure do not etch two ends after gate oxide deposition, and uses a method of etching only a region on which a selector device is placed, to complete a gate and a selector device stack, and etching the remaining region in which the selector device is absent. Hereinafter, its detailed description will be provided. In an embodiment of the present disclosure, the selector device may be a drain or source stack.
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(91) Although
(92) The configuration and function of the floating gate based 3-terminal analog synapse device according to the third embodiment of the present disclosure will be briefly described with reference to
(93) This embodiment will be described taking the selector device formed as the drain stack 620 as an example.
(94) The synapse device according to the third embodiment of the present disclosure includes a silicon channel layer 130, a gate stack 610 on the gate side at the center of the upper surface of the silicon channel layer 130, and a drain stack 620 on the drain side of the upper surface of the silicon channel layer 130.
(95) The gate stack 610 includes a gate oxide 210, a charge trap layer 310, a barrier layer 410 and a gate layer 510 stacked in that order, and the drain stack 620 includes a charge trap layer 320, a barrier layer 420 and a drain layer 520 stacked in that order.
(96) As shown in
(97) In contrast, as opposed to the process of
(98) In the case of another embodiment in which the selector device is the source stack, in the similar way to the process of
(99) In contrast, as opposed to the process of
(100) Through this, the 3-terminal analog synapse device according to the third embodiment of the present disclosure eliminates the need for a gate line for a separate additional transistor in each of a plurality of cells when fabricating in a crossbar array, thereby improving the integration of the device.
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(105) The operation of the floating gate based 3-terminal analog synapse device according to the third and fourth embodiments of the present disclosure will be described in detail with reference to
(106) Although
(107) As shown in
(108) The electric currents of each cell are combined into the first or second source line connected in common according to the Kirchhoff's current law, and this becomes output current values Y1, Y2 of the first or second source line.
(109) Through this, the synapse device according to the third and fourth embodiments of the present disclosure performs vector-matrix multiplication (VMM) such as the following equation 1.
(110) The VMM is used in artificial neural network based machine learning and computation for other computing devices by using a synapse device array in which electric currents are output in combination into one source line corresponding to column according to voltage applied to a plurality of bit lines corresponding to each row.
(111) In particular, in the case of an edge device which performs artificial intelligence computation in a local device itself without communication with a cloud server, limited power is supplied through a battery due to its isolated characteristics, so a device for high speed computation and data storage with low power and high efficiency is necessary, and the synapse device according to the third and fourth embodiments of the present disclosure may be applied to neural network based computation such as machine learning in the edge device.
(Y.sub.1/Y.sub.2)=(W.sub.11W.sub.21/W.sub.12W.sub.22)(X.sub.1/X.sub.2)[Equation 1]
(112) Here, X.sub.1, X.sub.2 denote voltages of the input pulses or pulse numbers applied to the first and second bit lines, respectively, W.sub.11, W.sub.12, W.sub.21, W.sub.22 denote the stored weights corresponding to the magnitude of conductance changing in the first to fourth cells, respectively, and Y.sub.1, Y.sub.2 denote the output current values of the first and second source lines, respectively.
(113) In this instance, it is important to optimally control the conductance of each cell through write operation and erase operation for the required operation, and to this end, the characteristics of the synapse device such as linearity, on/off ratio, retention, endurance, device to device variation and cycle to cycle variation are important.
(114) Additionally, to independently change the conductance of the synapse device of each cell in the write operation and erase operation, a process of accessing each cell is necessary.
(115) That is, an example of write operation and erase operation using floating is as follows.
(116) First, to update the first cell of
(117) In this instance, the cells W.sub.21, W.sub.22 that do not share WL1 are not updated.
(118) Additionally, to prevent the other cell W.sub.12 that shares WL1 from being updated, ground voltage GND is applied to SL1, and floating is applied to all the source lines SL except SL1 and all BL.
(119) In this case, as the bottom channel floats in the cell W.sub.12, updating is prevented by reducing the influence of the electric field by the gate voltage.
(120) However, updating is performed in W.sub.11 using a potential difference between SL1 and GND, and the floating of BL1 is not affected by the selector device formed on the drain side and does not affect the other cell.
(121) As another method for optimally controlling the conductance of each cell through write operation and erase operation, below is a description of an example of a method for cancelling out the potential difference by applying voltage to other SL and BL in the write operation and erase operation using the operation of the selector device.
(122) In this example, write voltage Vwrite is set to a positive voltage, and erase voltage Verase is set to a negative voltage.
(123) First, in the write operation, to update the first cell, GND is applied to SL1, Vwrite is applied to WL1, and Vwrite/2 is applied to other WL.
(124) In this instance, to prevent the other cell W12 that shares WL1 with W11 from being updated, Vwrite/2 is applied to all SL except SL1.
(125) Additionally, the other cell W12 that shares WL1 with W11 and the other cell W21 that shares SL1 with W11 are not updated due to the potential difference of just Vwrite/2 between gate-channel.
(126) The cells that do not share WL or SL with W11 are not updated by applying Vwrite/2 to SL and WL.
(127) In the case of BL, GND is applied to prevent the other line from being affected by the selector device.
(128) Subsequently, in the erase operation, to update W11, GND is applied to SL1, Verase is applied to WL1, and Verase/2 is applied to the other WL.
(129) In this instance, to prevent the other cell W12 that share WL1 with W11 from being updated, Verase/2 is applied to all SL except SL1, and the other cell W12 that shares WL1 and the other cell W21 that shares SL1 are not updated due to the potential difference of only Verase/2 between gate-channel.
(130) The cells that do not share WL, SL with W11 are not updated since Verase/2 is applied to both SL and WL, and thus a potential difference does not occur.
(131) In the case of BL, to prevent the other line from being affected by the selector device, voltage having its absolute value of Verase/2 or more is applied.
(132) The above-described example uses the presence or absence of updates based on nonlinearity of a change in conductance with a change in the applied potential difference, and voltage applied to each line may change, and the potential difference may use V/3 or any other value than V/2.
(133) In
(134) In contrast, when a negative voltage (2 V) is applied between drain terminal-source terminal (in black), as shown in
(135) It can be seen that the intensity of the current exhibits a difference of about 102 times in the voltage range of about 0.50.5 V in which the operation with a sharp increase in the current level and the operation with a sharp reduction in the current level are switched.
(136) Using the current-voltage characteristics properly, the operation is normally performed by reading data stored in the charge store layer by the desired flow of current according to the applied voltage in the read operation, while in the write operation and erase operation, the sneak path flow of current generated by reverse voltage is interrupted, thereby preventing the performance degradation of the array operation such as interference of neighboring cells.
(137) That is, the selector device formed as the drain stack 620 is used to prevent an unintentional operation caused by the flow of current due to sneak path between adjacent synapse devices fabricated in a crossbar array.
(138) In the case of the device according to the first and second embodiments of the present disclosure, an additional transistor is connected to each device to form an array as shown in
(139) The method for manufacturing a floating gate based 3-terminal analog synapse device according to the third and fourth embodiments of the present disclosure will be briefly described with reference to
(140) Si channel isolation is performed (S210).
(141) In this instance, the Si channel isolation may use a mesa structure and its similar structure.
(142) The gate oxide 200 is deposited on the buried oxide layer 120 and the silicon channel layer 130 that form the mesa structure (S220).
(143) Of the source/drain regions at the two ends of the gate oxide 200 deposited in the step S220, a region requiring the selector device is etched (S230).
(144) The charge trap layer and the barrier layer are deposited on the upper surface of the silicon channel layer 130 in which the gate oxide 200 is etched in the step S230 and the upper surface of the gate oxide 200 in a sequential order (S240).
(145) The two ends of the barrier layer and the charge trap layer are patterned (photolithography) and etched at the same time, leaving a region in which the source layer 530 or the drain layer 520 is to be formed, to perform the gate stack 610 isolation and source stack isolation or the gate stack 610 isolation and the drain stack 620 isolation (S250).
(146) The activation of the drain layer 520 or the source layer 530 having no selector device is performed on the device having the source stack or the drain stack 620 isolated in the step S250 (S260).
(147) The source layer 530 or the drain layer 520 is formed on the region activated in the step S260 and the selector device, and the gate metal layer 510 is formed on the upper surface of the barrier layer 410 (S270).
(148) Meanwhile, instead of depositing the charge trap layer and the barrier layer in a sequential order and patterning (photolithography) and etching the two ends at the same time in the steps S240 and S250, the third embodiment may include depositing the charge trap layer (S235), patterning (photolithography) and etching (S245), and then depositing the barrier layer (S255) and patterning (photolithography) and etching (S265) as shown in
(149) Through these individual processes, it is possible to form the charge trap layer and the barrier layer in different sizes.
(150) For example, when the charge trap layer is larger in size than the barrier layer, it is possible to stack and form a different material layer on the upper surface of the charge trap layer.
(151) The method for manufacturing a floating gate based 3-terminal analog synapse device according to the third and fourth embodiments of the present disclosure will be described with reference to
(152) The 3-terminal analog synapse device according to the third and fourth embodiments of the present disclosure is manufactured with an addition of a process of etching a region requiring the selector device among the source/drain regions at the two ends of the gate oxide 200 deposited on the silicon channel layer 130 before performing the process of
(153) Subsequently, the charge trap layer and the barrier layer are deposited above the upper surface of the silicon channel layer 130 and the upper surface of the gate oxide 200 in a sequential order in the same way as the process of
(154) Additionally, in the same way as the process of
(155) In this instance, in the source stack isolation and the drain stack isolation, in the same way as the gate stack 610 isolation, instead of etching the two ends at the same time after depositing the charge trap layer and the barrier layer in a sequential order, the charge trap layer may be deposited and etched, and then the barrier layer may be deposited and etched.
(156) Through these individual process, it is possible to form the charge trap layer and the barrier layer in different sizes.
(157) In this instance, the source stack or the drain stack 620 is used as a selector device that facilitates the write operation and erase operation for each of the plurality of cells that constitute the synapse device.
(158) As described above, the present disclosure provides a floating gate based 3-terminal analog synapse device capable of read operation, write operation and erase operation with low power by controlling the operating current range by adjusting the doping concentration of the source-drain channel, and a manufacturing method thereof.
(159) Additionally, there is provided the floating gate based 3-terminal analog synapse device which is compatible with a complementary metal-oxide-semiconductor (CMOS) device using the existing CMOS fabrication process, is suitable for mass production, and when integrated into a chip with CMOS device based peripheral circuits, reduces the size and power consumption of the entire neural network based computing system and provides high computation processing efficiency, thereby achieving efficient machine learning and deep learning computation in an edge device.
(160) Additionally, there is provided a floating gate based 3-terminal analog synapse device in which the charge trap layer and the barrier layer are formed in different sizes by performing each of deposition and etching of the two layers through individual processes, and the lift-off technique is applied instead of the etching process to simplify the manufacturing process.
(161) Through this, according to the present disclosure, it is possible to ensure carrier injection and removal according to gate voltage, leading to a linear change of electric current in the channel between source and drain, and operations do not rely on electrons moving through the silicon oxide layer between gate and channel, so there is no degradation of the silicon oxide layer, thereby improving durability and stability of the device.
(162) Additionally, as carrier injection and removal are done all over the charge trap layer, the operational stability is improved compared to the existing filament based memristor synapse device.
(163) Additionally, when configured using a system on chip for computing to imitate neural networks, it is possible to reduce the power consumption compared to the existing CMOS based neural network processing device, and thus can be used in an edge device.
(164) Additionally, as data storage is performed in a single device, high integration is achieved, and mass production is possible by the existing CMOS based manufacturing process, thereby achieving cost savings, and it can be used to build a cloud server for training neural networks.
(165) Additionally, as each of deposition and etching of the charge trap layer and the barrier layer is performed through individual processes, it is possible to form the two layers in different sizes.
(166) Additionally, the lift-off technique can be applied to the silicon channel layer and the gate oxide stack, thereby simplifying the manufacturing process and preventing film surface damage that may occur in the etching process.
(167) While the present disclosure has been described with reference to the embodiments illustrated in the figures, the embodiments are merely examples, and it will be understood by those skilled in the art that various changes in form and other embodiments equivalent thereto can be performed. Therefore, the technical scope of the disclosure is defined by the technical idea of the appended claims The drawings and the forgoing description gave examples of the present invention. The scope of the present invention, however, is by no means limited by these specific examples.
(168) Numerous variations, whether explicitly given in the specification or not, such as differences in structure, dimension, and use of material, are possible. The scope of the invention is at least as broad as given by the following claims.
Detailed Description of Main Elements
(169) 130, 130, 130: Silicon channel layer 210, 210, 200, 200; Gate oxide 310, 310, 320, 300, 700, 700: Charge trap layer 410, 410, 420, 400, 400: Barrier layer 510, 510: Gate metal layer 520, 520: Drain layer 530, 530: Source layer 610: Gate stack 620: Selector device