A beam control method is provided that can be implemented with any hardware system for imaging and/or cutting such as SEM/FIB/HIM or charged particle lithography which alleviates the deposited energy overlap between pixels to increase resolution and precision while reducing damage. The method includes scanning a workpiece with e-beam lithography, proton lithography, ion beam lithography, optical lithography, ion beam imaging or FIB in a reduced or sub-sampled pattern, to reduce beam overlap, which can include the step of scanning the beam ensuring that there is the largest difference in time and space between consecutive beam locations.

A charged particle beam drawing device includes: a storage unit that stores a pattern generation program for generating pattern data, the pattern generation program being a program in which an instruction for specifying a type of a figure and an instruction for specifying a regular arrangement of the figure are described; an execution unit that executes the pattern generation program stored in the storage unit; and a control unit that performs drawing control based on the pattern data generated by the executed pattern generation program.

A multi-charged particle beam writing apparatus includes a circuit to allocate an additional dose to a position inside a writing target pattern in order to change a first dose distribution by an excessive dose, generated on the target object by applying, in the multi-charged particle beams, an excessive dose defective beam, to a second dose distribution whose center is located inside the writing target pattern and for which beam irradiation canceling out the excessive dose and being in a range of the first dose distribution exists; and a circuit to perform correction by subtracting an increased dose amount, generated at the center of the second dose distribution because of the additional dose being allocated, from a dose with which one of the center of the second dose distribution and a vicinity of the center of the second dose distribution is irradiated.

Methods for exposing a desired shape in an area on a surface using a charged particle beam system include determining a local pattern density for the area, based on an original set of exposure information. A pre-proximity effect correction (PEC) maximum dose for the local pattern density is determined, based on a pre-determined target post-PEC maximum dose. The pre-PEC maximum dose is calculated near an edge of the desired shape. Methods also include modifying the original set of exposure information with the pre-PEC maximum dose to create a modified set of exposure information.

Some embodiments provide a method for computing and displaying of minimum overlap for semiconductor layer interfaces, such as metal-via and metal-contact. The method leverages a machine-trained network (e.g., a trained neural network) to quickly, but accurately, infer the contours for the manufactured shapes across a range of process variations. The method also models the semiconductor process manufacturing layer-to-layer misalignment. The combined set of information (from the machine-trained network and from the modeling) is used by the method to compute the minimum overlap shapes at multiple layer interfaces. The method in some embodiments then uses the minimum overlap shapes to obtain an accurate calculation of the via or contact resistance.

A method for compensating pattern placement errors during writing a pattern on a target in a charged-particle multi-beam exposure apparatus including a layout generated by exposing a plurality of beam field frames using a beam of electrically charged particles, wherein each beam field frame has a respective local pattern density, corresponding to exposure doses imparted to the target when exposing the respective beam field frames. During writing the beam field frames, the positions deviate from respective nominal positions because of build-up effects within said exposure apparatus, depending on the local pattern density evolution during writing the beam field frames. To compensate, a displacement behavior model is employed to predict displacements; a local pattern density evolution is determined, displacements of the beam field frames are predicted based on the local pattern density evolution and the displacement behavior model, and the beam field frames are repositioned accordingly based on the predicted values.

A multi-charged particle beam writing apparatus includes a beam forming mechanism to form multi-charged-particle-beams, a block region forming circuit to form plural block regions from an irradiation region of the multi-charged-particle-beams formed by combining plural sub-regions each surrounded by a beam, being different from each other, and plural other beams adjacent to the beam in the multi-charged-particle-beams, and a writing mechanism to perform, using the multi-charged-particle-beams, multiple writing such that irradiation of each block region of the plural block regions is at least performed by any one of writing processing of the multiple writing, and such that each writing processing of the multiple writing is performed to write a writing region of a target object in a manner of covering the writing region without overlapping by, using one of the plural block regions, irradiation of the one of the plural block regions.

Methods for fracturing or mask data preparation are disclosed in which a set of single-beam charged particle beam shots is input; a calculated image is calculated using a neural network, from the set of single-beam charged particle beam shots; and a set of multi-beam shots is generated based on the calculated image, to convert the set of single-beam charged particle beam shots to the set of multi-beam shots which will produce a surface image on the surface. Methods for training a neural network include inputting a set of single-beam charged particle beam shots; calculating a set of calculated images using the set of single-beam charged particle beam shots; and training the neural network with the set of calculated images.

A multi charged particle beam exposure method includes transmitting ON/OFF control signals each being an ON/OFF control signal for a corresponding beam of multi-beams of charged particle beams in a batch to a blanking apparatus in which there are mounted a substrate where a plurality of passage holes are formed to let a corresponding beam of the multi-beams individually pass therethrough, and a plurality of individual blanking mechanisms arranged in the substrate to individually perform blanking deflection of each beam of the multi-beams, and irradiating the substrate with the multi-beams in accordance with the ON/OFF control signals transmitted in a batch, while shifting an irradiation timing for each group obtained by grouping the multi-beams into a plurality of groups by a plurality of individual blanking mechanisms mounted in the blanking apparatus.

To form a complex and fine pattern by combining optical exposure technology and charged particle beam exposure technology, provided is an exposure apparatus that radiates a charged particle beam at a position corresponding to a line pattern on a sample, including a beam generating section that generates a plurality of the charged particle beams at different irradiation positions in a width direction of the line pattern; a scanning control section that performs scanning with the irradiation positions of the charged particle beams along a longitudinal direction of the line pattern; a selecting section that selects at least one charged particle beam to irradiate the sample from among the plurality of charged particle beams, at a designated irradiation position in the longitudinal direction of the line pattern; and an irradiation control section that controls the at least one selected charged particle beam to irradiate the sample.