Provided are a process estimation system and a process data estimation method for appropriately estimating process data, and a program. The process estimation system includes: an input part configured to input actual sensor data detected by a sensor of a substrate processing apparatus; a virtual sensor data generation part configured to generate virtual sensor data for a virtual sensor based on the actual sensor data and a physical model; and a process data estimation part configured to estimate process data based on the virtual sensor data.

An electric discharge generator and power supply device of electric discharge generator includes a radical gas generation apparatus, a process chamber apparatus, and an n-phase inverter power supply device. The radical gas generation apparatus is located adjacent to the process chamber apparatus. The radical gas generation apparatus includes a plurality of (n) discharge cells. The n-phase inverter power supply device includes a power supply circuit configuration offering a means to control output of n-phase alternating current voltages and variably controls, according to positions of the plurality of discharge cells, the alternating current voltages of different phases.

An electric discharge generator and power supply device of electric discharge generator includes a radical gas generation apparatus, a process chamber apparatus, and an n-phase inverter power supply device. The radical gas generation apparatus is located adjacent to the process chamber apparatus. The radical gas generation apparatus includes a plurality of (n) discharge cells. The n-phase inverter power supply device includes a power supply circuit configuration offering a means to control output of n-phase alternating current voltages and variably controls, according to positions of the plurality of discharge cells, the alternating current voltages of different phases.

Disclosed is an abnormality determination system for plasma treatment, including: a plasma treatment apparatus capable of treating, based on a recipe, a plurality of workpieces at a time; a sensor that obtains at least one monitoring data relating to the workpieces and the plasma treatment apparatus that is performing plasma treatment; a storage unit that stores a threshold that is set according to a first treatment mode including the number and the type of the workpieces; and a determination unit that determines, based on the monitoring data and the threshold, whether or not there is an abnormality in the plasma treatment.

A substrate processing method and a substrate processing device capable of obtaining good embedding characteristics are provided. The substrate processing method includes: embedding a first insulating film in a recess of a substrate by repeating forming an adsorption layer on the substrate by supplying a silicon-containing gas and causing plasma of a reaction gas to react with the adsorption layer by generating the plasma of the reaction gas; and etching the first insulating film by generating plasma of an etching gas, wherein a shape of the first insulating film embedded in the recess after etching is controlled by controlling plasma generation parameters in the causing the plasma to react with the adsorption layer.

A method of scaling a nonvolatile trapped-charge memory device and the device made thereby is provided. In an embodiment, the method includes forming a channel region including polysilicon electrically connecting a source region and a drain region in a substrate. A tunneling layer is formed on the substrate over the channel region by oxidizing the substrate to form an oxide film and nitridizing the oxide film. A multi-layer charge trapping layer including an oxygen-rich first layer and an oxygen-lean second layer is formed on the tunneling layer, and a blocking layer deposited on the multi-layer charge trapping layer. In one embodiment, the method further includes a dilute wet oxidation to densify a deposited blocking oxide and to oxidize a portion of the oxygen-lean second layer.

A method of scaling a nonvolatile trapped-charge memory device and the device made thereby is provided. In an embodiment, the method includes forming a channel region including polysilicon electrically connecting a source region and a drain region in a substrate. A tunneling layer is formed on the substrate over the channel region by oxidizing the substrate to form an oxide film and nitridizing the oxide film. A multi-layer charge trapping layer including an oxygen-rich first layer and an oxygen-lean second layer is formed on the tunneling layer, and a blocking layer deposited on the multi-layer charge trapping layer. In one embodiment, the method further includes a dilute wet oxidation to densify a deposited blocking oxide and to oxidize a portion of the oxygen-lean second layer.

Described herein is a technique capable of acquiring, monitoring and recording the progress of the reaction between a substrate and a reactive gas contained in a process gas in a process chamber during the processing of the substrate. According to the technique, there is provided a substrate processing apparatus including: a process chamber accommodating a substrate; a process gas supply system configured to supply a process gas into the process chamber via a process gas supply pipe; an exhaust pipe configured to exhaust an inner atmosphere of the process chamber; a first gas concentration sensor configured to detect a first concentration of a reactive gas contained in the process gas in the process gas supply pipe; and a second gas concentration sensor configured to detect a second concentration of the reactive gas contained in an exhaust gas in the exhaust pipe.

Described herein is a technique capable of acquiring, monitoring and recording the progress of the reaction between a substrate and a reactive gas contained in a process gas in a process chamber during the processing of the substrate. According to the technique, there is provided a substrate processing apparatus including: a process chamber accommodating a substrate; a process gas supply system configured to supply a process gas into the process chamber via a process gas supply pipe; an exhaust pipe configured to exhaust an inner atmosphere of the process chamber; a first gas concentration sensor configured to detect a first concentration of a reactive gas contained in the process gas in the process gas supply pipe; and a second gas concentration sensor configured to detect a second concentration of the reactive gas contained in an exhaust gas in the exhaust pipe.

A learning device for performing a machine learning based on a learning model using data input to an input layer, includes: a calculation part configured to calculate a predetermined number of features, in which simulation data as a result of simulating semiconductor manufacturing processes by setting environmental information inside a process vessel in which the semiconductor manufacturing processes are performed and using a predetermined component provided in the process vessel as a variable, and XY coordinates parallel to a plane of a wafer are associated with each other; and an input part configured to input the calculated predetermined number of features to the input layer.