Title:
INFORMATION PROCESSING DEVICE, MODEL GENERATION METHOD, AND INFORMATION PROCESSING METHOD
Document Type and Number:
WIPO Patent Application WO/2023/176901
Kind Code:
A1
Abstract:
[Problem] To propose an application field using a neural network model that forms an NNP. [Solution] This information processing device comprises one or more memories and one or more processors. The one or more processors input information concerning an atom of a substance to a first model, and acquire information concerning the substance from an output layer of the first model. The first model is a model that: is provided with layers ranging from an input layer to a predetermined layer in a second model for receiving input of information concerning atoms and outputting a value of at least one of energy or force; and is trained to output information concerning the substance.
Inventors:
TAKAMOTO SO (JP)
SHINAGAWA CHIKASHI (JP)
ISHII TAKAFUMI (JP)
SHINAGAWA CHIKASHI (JP)
ISHII TAKAFUMI (JP)
Application Number:
PCT/JP2023/010158
Publication Date:
September 21, 2023
Filing Date:
March 15, 2023
Export Citation:
Assignee:
PREFERRED NETWORKS INC (JP)
ENEOS CORP (JP)
ENEOS CORP (JP)
International Classes:
G06N3/096; G16C20/70
Domestic Patent References:
| WO2021054402A1 | 2021-03-25 | |||
| WO2021085523A1 | 2021-05-06 |
Foreign References:
| JP2021174180A | 2021-11-01 | |||
| JP2021117798A | 2021-08-10 |
Attorney, Agent or Firm:
SORIMACHI Hiroshi et al. (JP)
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