JP7764069B2 - 物性予測装置、物性予測方法、及びプログラム - Google Patents

物性予測装置、物性予測方法、及びプログラム

Info

Publication number
JP7764069B2
JP7764069B2 JP2024521930A JP2024521930A JP7764069B2 JP 7764069 B2 JP7764069 B2 JP 7764069B2 JP 2024521930 A JP2024521930 A JP 2024521930A JP 2024521930 A JP2024521930 A JP 2024521930A JP 7764069 B2 JP7764069 B2 JP 7764069B2
Authority
JP
Japan
Prior art keywords
information
physical property
learning model
machine learning
generating
Prior art date
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.)
Active
Application number
JP2024521930A
Other languages
English (en)
Japanese (ja)
Other versions
JPWO2023224012A5 (https=
JPWO2023224012A1 (https=
Inventor
駿 室賀
賢治 畠
康彰 三木
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
National Institute of Advanced Industrial Science and Technology AIST
Original Assignee
National Institute of Advanced Industrial Science and Technology AIST
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by National Institute of Advanced Industrial Science and Technology AIST filed Critical National Institute of Advanced Industrial Science and Technology AIST
Publication of JPWO2023224012A1 publication Critical patent/JPWO2023224012A1/ja
Publication of JPWO2023224012A5 publication Critical patent/JPWO2023224012A5/ja
Application granted granted Critical
Publication of JP7764069B2 publication Critical patent/JP7764069B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/30—Prediction of properties of chemical compounds, compositions or mixtures
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C60/00—Computational 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)
  • Computing Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Chemical & Material Sciences (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
JP2024521930A 2022-05-18 2023-05-15 物性予測装置、物性予測方法、及びプログラム Active JP7764069B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2022081299 2022-05-18
JP2022081299 2022-05-18
PCT/JP2023/018162 WO2023224012A1 (ja) 2022-05-18 2023-05-15 物性予測装置、物性予測方法、及びプログラム

Publications (3)

Publication Number Publication Date
JPWO2023224012A1 JPWO2023224012A1 (https=) 2023-11-23
JPWO2023224012A5 JPWO2023224012A5 (https=) 2024-12-24
JP7764069B2 true JP7764069B2 (ja) 2025-11-05

Family

ID=88835489

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2024521930A Active JP7764069B2 (ja) 2022-05-18 2023-05-15 物性予測装置、物性予測方法、及びプログラム

Country Status (2)

Country Link
JP (1) JP7764069B2 (https=)
WO (1) WO2023224012A1 (https=)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118072857B (zh) * 2024-04-17 2024-07-16 季华实验室 新配方生成方法、装置、电子设备及存储介质

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019048965A1 (ja) 2017-09-06 2019-03-14 株式会社半導体エネルギー研究所 物性予測方法および物性予測システム
JP2020187417A (ja) 2019-05-10 2020-11-19 株式会社日立製作所 物性予測装置及び物性予測方法
WO2021095722A1 (ja) 2019-11-11 2021-05-20 昭和電工マテリアルズ株式会社 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

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7732224B2 (ja) * 2021-04-23 2025-09-02 株式会社レゾナック 特性予測システム、特性予測方法、及び特性予測プログラム
CN114141317B (zh) * 2021-12-07 2025-12-16 北京百度网讯科技有限公司 化合物性质预测模型训练方法、装置、设备以及存储介质

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019048965A1 (ja) 2017-09-06 2019-03-14 株式会社半導体エネルギー研究所 物性予測方法および物性予測システム
JP2020187417A (ja) 2019-05-10 2020-11-19 株式会社日立製作所 物性予測装置及び物性予測方法
WO2021095722A1 (ja) 2019-11-11 2021-05-20 昭和電工マテリアルズ株式会社 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

Also Published As

Publication number Publication date
WO2023224012A1 (ja) 2023-11-23
JPWO2023224012A1 (https=) 2023-11-23

Similar Documents

Publication Publication Date Title
Tony Cai et al. Semisupervised inference for explained variance in high dimensional linear regression and its applications
JP7468542B2 (ja) 特性予測装置
Varsou et al. Zeta‐potential read‐across model utilizing nanodescriptors extracted via the nanoxtract image analysis tool available on the enalos nanoinformatics cloud platform
JP7764069B2 (ja) 物性予測装置、物性予測方法、及びプログラム
Srinivasan et al. A generalized machine learning framework to estimate fatigue life across materials with minimal data
Marini et al. H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression
US11550823B2 (en) Preprocessing for a classification algorithm
Fernandez Martinez et al. Methodology to classify the shape of reinforcement fillers: optimization, evaluation, comparison, and selection of models
Ni et al. In situ testing using synchrotron radiation computed tomography in materials research
Ghane et al. Recurrent neural networks and transfer learning for elasto-plasticity in woven composites
US9864834B2 (en) High-resolution melt curve classification using neural networks
Navarro et al. Modeling cell biological features of meiotic chromosome pairing to study interlock resolution
Salem et al. Intelligent decision support system for breast cancer diagnosis by gene expression profiles
Perera et al. Blind image analysis for the compositional and structural characterization of plant cell walls
Cosmi et al. Threshold identification for micro‐tomographic damage characterisation in a short‐fibre‐reinforced polymer
Moomtaheen et al. DNA-stabilized silver Nanocluster design via regularized variational Autoencoders
JPWO2005010206A1 (ja) 染色体状態の評価方法および評価システム
Balluet et al. Neural network fast‐classifies biological images through features selecting to power automated microscopy
Lahcene et al. A Hybrid Deep Learning Model for Predicting Lifetime and Mechanical Performance Degradation of Multilayer Greenhouse Polyethylene Films
Vaghefi et al. A Machine Learning Approach for Polymer Classification Based on the Thermal Response under Data Scarcity─ Tested on PMMA
JP2024072508A (ja) ゴム材料の設計方法およびシステム
Ghasemzadeh-Barvarz et al. Multivariate image regression for quality control of natural fiber composites
Poudel et al. CryoFSL: An Annotation-Efficient, Few-Shot Learning Framework for Robust Protein Particle Picking in Cryo-EM Micrographs
Schneider et al. Determining HEDP Foams' Quality with Multi-View Deep Learning Classification
Kiehas et al. Predicting Ductile–Brittle transition temperatures for polyolefins using convolutional neural networks and instrumented notched Charpy experiments

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A821

Effective date: 20240823

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20241007

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20241007

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20250805

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20250925

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20251007

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20251016

R150 Certificate of patent or registration of utility model

Ref document number: 7764069

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150