JPWO2022113945A1 - - Google Patents

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Publication number
JPWO2022113945A1
JPWO2022113945A1 JP2022565331A JP2022565331A JPWO2022113945A1 JP WO2022113945 A1 JPWO2022113945 A1 JP WO2022113945A1 JP 2022565331 A JP2022565331 A JP 2022565331A JP 2022565331 A JP2022565331 A JP 2022565331A JP WO2022113945 A1 JPWO2022113945 A1 JP WO2022113945A1
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JP
Japan
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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JP2022565331A
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Japanese (ja)
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JP7803284B2 (ja
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/30Prediction of properties of chemical compounds, compositions or mixtures
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/70Machine learning, data mining or chemometrics
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C60/00Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Databases & Information Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
JP2022565331A 2020-11-27 2021-11-22 情報処理システム、情報処理方法、および情報処理プログラム Active JP7803284B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2020197046 2020-11-27
JP2020197046 2020-11-27
PCT/JP2021/042833 WO2022113945A1 (ja) 2020-11-27 2021-11-22 情報処理システム、情報処理方法、および情報処理プログラム

Publications (2)

Publication Number Publication Date
JPWO2022113945A1 true JPWO2022113945A1 (https=) 2022-06-02
JP7803284B2 JP7803284B2 (ja) 2026-01-21

Family

ID=81754598

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2022565331A Active JP7803284B2 (ja) 2020-11-27 2021-11-22 情報処理システム、情報処理方法、および情報処理プログラム

Country Status (6)

Country Link
US (1) US20240047018A1 (https=)
EP (1) EP4243026A4 (https=)
JP (1) JP7803284B2 (https=)
KR (1) KR20230110584A (https=)
CN (1) CN116745850A (https=)
WO (1) WO2022113945A1 (https=)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102457159B1 (ko) * 2021-01-28 2022-10-20 전남대학교 산학협력단 딥러닝 기반 화합물 의약 효과 예측 방법
US12587274B2 (en) 2023-03-28 2026-03-24 Quantum Generative Materials Llc Satellite optimization management system based on natural language input and artificial intelligence
KR20250080631A (ko) * 2023-11-28 2025-06-05 주식회사 Lg 경영개발원 인공지능을 이용한 다상을 갖는 소재의 특성 예측 시스템, 방법 및 프로그램
US12368503B2 (en) 2023-12-27 2025-07-22 Quantum Generative Materials Llc Intent-based satellite transmit management based on preexisting historical location and machine learning
US12603701B2 (en) 2023-12-27 2026-04-14 Quantum Generative Materials Llc Distributed satellite constellation management and control system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140163937A1 (en) * 2012-12-12 2014-06-12 Hyundai Motor Company Method for predicting physical properties of a composite blend of polypropylene and low density polypropylene
JP2020030638A (ja) * 2018-08-23 2020-02-27 パナソニックIpマネジメント株式会社 材料情報出力方法、材料情報出力装置、材料情報出力システム、及びプログラム
JP2020038493A (ja) * 2018-09-04 2020-03-12 横浜ゴム株式会社 物性データ予測方法及び物性データ予測装置
WO2020090805A1 (ja) * 2018-10-31 2020-05-07 昭和電工株式会社 材料探索装置、方法、およびプログラム
JP2020161044A (ja) * 2019-03-28 2020-10-01 日立化成株式会社 データ管理システム、データ管理方法、およびデータ管理プログラム

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11154196B2 (en) * 2017-06-20 2021-10-26 Siemens Healthcare Gmbh Deep-learnt tissue deformation for medical imaging
JP7048065B2 (ja) 2017-08-02 2022-04-05 学校法人立命館 結合性予測方法、装置、プログラム、記録媒体、および機械学習アルゴリズムの学習方法
JP7218519B2 (ja) * 2018-09-04 2023-02-07 横浜ゴム株式会社 物性データ予測方法及び物性データ予測装置
US11631029B2 (en) * 2019-09-09 2023-04-18 Adobe Inc. Generating combined feature embedding for minority class upsampling in training machine learning models with imbalanced samples

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140163937A1 (en) * 2012-12-12 2014-06-12 Hyundai Motor Company Method for predicting physical properties of a composite blend of polypropylene and low density polypropylene
JP2020030638A (ja) * 2018-08-23 2020-02-27 パナソニックIpマネジメント株式会社 材料情報出力方法、材料情報出力装置、材料情報出力システム、及びプログラム
JP2020038493A (ja) * 2018-09-04 2020-03-12 横浜ゴム株式会社 物性データ予測方法及び物性データ予測装置
WO2020090805A1 (ja) * 2018-10-31 2020-05-07 昭和電工株式会社 材料探索装置、方法、およびプログラム
JP2020161044A (ja) * 2019-03-28 2020-10-01 日立化成株式会社 データ管理システム、データ管理方法、およびデータ管理プログラム

Also Published As

Publication number Publication date
KR20230110584A (ko) 2023-07-24
CN116745850A (zh) 2023-09-12
US20240047018A1 (en) 2024-02-08
EP4243026A4 (en) 2024-05-15
EP4243026A1 (en) 2023-09-13
JP7803284B2 (ja) 2026-01-21
WO2022113945A1 (ja) 2022-06-02

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