Abstract: An information processing apparatus has an output data acquisition unit configured to acquire an output value obtained by performing an experiment or simulation based on an input parameter of a predetermined number of dimensions, an evaluation value calculation unit configured to calculate and output an evaluation value of the output value, an outlier processing unit configured to output a converted evaluation value including a specified value obtained by converting the evaluation value that does not satisfy a predetermined criterion, a next input parameter determination unit configured to determine a next input parameter based on the input parameter and the converted evaluation value corresponding to the input parameter, and an iteration determination unit configured to repeat processing of the output data acquisition unit, the evaluation value calculation unit, the outlier processing unit, and the next input parameter determination unit until a predetermined condition is satisfied.

Abstract: An information processing apparatus according to an embodiment of the present invention includes an estimator and a recommender. The estimator is configured to, based on a data set including a set value set for a parameter and an evaluation value or an evaluation value variation where the set value is set for the parameter, estimate a relationship between the set value and the evaluation value variation. The evaluation value variation indicates a variation of respective evaluation values where a plurality of values included within a neighborhood range that is based on the set value are set for the parameter. The recommender is configured to, based on the estimated relationship, determine a recommended set value.

Abstract: One embodiment of the invention provides an apparatus preventing degradation of accuracy of a search result while reducing a total required period of a series of processing in a case where input parameters for a series of processing including a plurality of processing with different required periods are searched for. The apparatus includes a calculator and a generator. The calculator calculates evaluation values for output parameters of a series of processing including first processing and second processing. The first processing uses a first input parameter. The second processing use a second input parameter. The generator regenerates first and second input parameters corresponding to one time of a series of processing based on first and second input parameters corresponding to selected output parameters. The number of input parameters for shorter one of the first and the second processing is larger than the number of input parameters for the other.

Abstract: A semiconductor memory includes a first stacked body, a first separation portion, a second stacked body, a third stacked body, and a bit line. The first stacked body is configured such that a plurality of first insulating films and a plurality of first conductive films are alternately stacked in a first direction. The first separation portion is adjacent to the first stacked body in a second direction intersecting the first direction. The second stacked body is adjacent to the first separation portion in the second direction. The second stacked body is configured such that a plurality of second insulating films and a plurality of second conductive films are alternately stacked in the first direction. The third stacked body is adjacent to the second stacked body in the second direction. The third stacked body is configured such that the plurality of second insulating films and a plurality of third insulating films are alternately stacked in the first direction.

Abstract: An optimization device includes an output data acquisitor that acquires output data having a second number of dimensions obtained by performing an experiment or a simulation, an evaluation value calculator that calculates and outputs an evaluation value of the output data, a features extractor that extracts an output data features having a third number of dimensions different from the second number of dimensions, an input parameter converter that generates a conversion parameter related to the output data features predicted from the input parameters, a next input parameter determinator that determines a next input parameter to be acquired by the output data acquisitor, based on the conversion parameter and the corresponding evaluation value, and an iterative determinator that repeats processes of the output data acquisitor, the input/output data storage, the evaluation value calculator, the features extractor, the input parameter converter, and the next input parameter determinator.

Abstract: An optimization apparatus includes an output data acquirer to acquire output data expressing a result of experiment or simulation based input parameters, input/output data storage to store the input parameters and the output data corresponding to the input parameters, as a pair, an evaluation value calculator to calculate evaluation values of the output data, an input parameter converter to generate conversion parameters of a dimension number changed from the dimension number of the input parameters, a next-input parameter decider to decide next input parameters based on pairs of the conversion parameters and the evaluation values corresponding to the conversion parameters, and a repetition determiner to repeat operations of the output data acquirer, the input/output data storage, the evaluation value calculator, the input parameter converter, and the next-input parameter decider, until satisfying a predetermined condition.

Abstract: One embodiment of the invention provides an apparatus preventing degradation of accuracy of a search result while reducing a total required period of a series of processing in a case where input parameters for a series of processing including a plurality of processing with different required periods are searched for. The apparatus includes a calculator and a generator. The calculator calculates evaluation values for output parameters of a series of processing including first processing and second processing. The first processing uses a first input parameter. The second processing use a second input parameter. The generator regenerates first and second input parameters corresponding to one time of a series of processing based on first and second input parameters corresponding to selected output parameters. The number of input parameters for shorter one of the first and the second processing is larger than the number of input parameters for the other.

Abstract: An information processing apparatus has an output data acquisition unit configured to acquire an output value obtained by performing an experiment or simulation based on an input parameter of a predetermined number of dimensions, an evaluation value calculation unit configured to calculate and output an evaluation value of the output value, an outlier processing unit configured to output a converted evaluation value including a specified value obtained by converting the evaluation value that does not satisfy a predetermined criterion, a next input parameter determination unit configured to determine a next input parameter based on the input parameter and the converted evaluation value corresponding to the input parameter, and an iteration determination unit configured to repeat processing of the output data acquisition unit, the evaluation value calculation unit, the outlier processing unit, and the next input parameter determination unit until a predetermined condition is satisfied.

Abstract: An information processing apparatus according to an embodiment of the present invention includes an estimator and a recommender. The estimator is configured to, based on a data set including a set value set for a parameter and an evaluation value or an evaluation value variation where the set value is set for the parameter, estimate a relationship between the set value and the evaluation value variation. The evaluation value variation indicates a variation of respective evaluation values where a plurality of values included within a neighborhood range that is based on the set value are set for the parameter. The recommender is configured to, based on the estimated relationship, determine a recommended set value.

Abstract: An optimization device includes an output data acquisitor that acquires output data having a second number of dimensions obtained by performing an experiment or a simulation, an evaluation value calculator that calculates and outputs an evaluation value of the output data, a features extractor that extracts an output data features having a third number of dimensions different from the second number of dimensions, an input parameter converter that generates a conversion parameter related to the output data features predicted from the input parameters, a next input parameter determinator that determines a next input parameter to be acquired by the output data acquisitor, based on the conversion parameter and the corresponding evaluation value, and an iterative determinator that repeats processes of the output data acquisitor, the input/output data storage, the evaluation value calculator, the features extractor, the input parameter converter, and the next input parameter determinator.

Abstract: An optimization apparatus includes an output data acquirer to acquire output data expressing a result of experiment or simulation based input parameters, input/output data storage to store the input parameters and the output data corresponding to the input parameters, as a pair, an evaluation value calculator to calculate evaluation values of the output data, an input parameter converter to generate conversion parameters of a dimension number changed from the dimension number of the input parameters, a next-input parameter decider to decide next input parameters based on pairs of the conversion parameters and the evaluation values corresponding to the conversion parameters, and a repetition determiner to repeat operations of the output data acquirer, the input/output data storage, the evaluation value calculator, the input parameter converter, and the next-input parameter decider, until satisfying a predetermined condition.

Abstract: A shape computing method that determines a shape of a deposited film formed in a groove includes determining a solid angle for a reference point on a side surface of the groove. The shape computing method includes determining a thickness of the deposited film formed at the reference point in a reference deposition time based on a correlation between the solid angle and the thickness of the deposited film formed in the reference deposition time. The shape computing method includes determining the shape of the deposited film in a region in which the reference point lies based on the determined thickness.

Abstract: A shape computing method that determines a shape of a deposited film formed in a groove includes determining a solid angle for a reference point on a side surface of the groove. The shape computing method includes determining a thickness of the deposited film formed at the reference point in a reference deposition time based on a correlation between the solid angle and the thickness of the deposited film formed in the reference deposition time. The shape computing method includes determining the shape of the deposited film in a region in which the reference point lies based on the determined thickness.

Abstract: In accordance with an embodiment, a design method includes classifying interconnection line patterns each including a space between interconnection lines among design layout patterns of a semiconductor element with an air gap between the interconnection lines, on the basis of characteristics of the space, acquiring a basic amount of the classified interconnection line pattern, predicting a position where each air gap is highest and a height of the position for each classified interconnection line pattern, and suitably adjusting the arrangement of the interconnection lines in the design layout pattern in accordance with the predicted position and height. The basic amount is acquired from a shape of the classified interconnection line pattern. The position where each air gap is highest and the height of the position are predicted by collating data of a correlation between the width of the space and the height of the air gap with the basic amount.