JP2022553866A5 - - Google Patents

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Publication number
JP2022553866A5
JP2022553866A5 JP2022526232A JP2022526232A JP2022553866A5 JP 2022553866 A5 JP2022553866 A5 JP 2022553866A5 JP 2022526232 A JP2022526232 A JP 2022526232A JP 2022526232 A JP2022526232 A JP 2022526232A JP 2022553866 A5 JP2022553866 A5 JP 2022553866A5
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Japan
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model
computer
metadata
simulation
machine learning
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JP2022526232A
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JP2022553866A (ja
JP7676383B2 (ja
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Priority claimed from PCT/US2020/059393 external-priority patent/WO2021092366A1/en
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JP2022526232A 2019-11-06 2020-11-06 シミュレーションの計算コストの推定のための方法およびシステム Active JP7676383B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201962931299P 2019-11-06 2019-11-06
US62/931,299 2019-11-06
PCT/US2020/059393 WO2021092366A1 (en) 2019-11-06 2020-11-06 Methods and systems for the estimation of the computational cost of simulation

Publications (3)

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JP2022553866A JP2022553866A (ja) 2022-12-26
JP2022553866A5 true JP2022553866A5 (https=) 2023-11-14
JP7676383B2 JP7676383B2 (ja) 2025-05-14

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JP2022526232A Active JP7676383B2 (ja) 2019-11-06 2020-11-06 シミュレーションの計算コストの推定のための方法およびシステム

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US (1) US12400055B2 (https=)
EP (1) EP4055512A4 (https=)
JP (1) JP7676383B2 (https=)
KR (1) KR20220103739A (https=)
CN (1) CN114930336A (https=)
AU (1) AU2020378413A1 (https=)
BR (1) BR112022008851A2 (https=)
CA (1) CA3157588A1 (https=)
WO (1) WO2021092366A1 (https=)

Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11922314B1 (en) * 2018-11-30 2024-03-05 Ansys, Inc. Systems and methods for building dynamic reduced order physical models
US11409516B2 (en) 2019-12-10 2022-08-09 Cisco Technology, Inc. Predicting the impact of network software upgrades on machine learning model performance
US11210138B1 (en) 2020-09-24 2021-12-28 OnScale, Inc. Dynamic resource allocation for computational simulation
US12488256B2 (en) * 2021-07-01 2025-12-02 Rolls-Royce Corporation Predictive modeling for forged components
KR102779656B1 (ko) * 2021-09-02 2025-03-12 주식회사 아미크 선별된 목적 데이터를 활용하여 효과적으로 클라우드 시스템을 구축하는 방법 및 시스템
EP4427162A4 (en) * 2021-11-01 2025-09-17 Univ Michigan Regents AUTOMATED CIRCUIT TOPOLOGY SELECTION AND CONFIGURATION
US20250308645A1 (en) * 2022-05-08 2025-10-02 Schlumberger Technology Corporation Adaptive multicolor reordering simulation system
CN114925633B (zh) * 2022-06-14 2024-10-18 中国航空工业集团公司沈阳空气动力研究所 应用气动特性评估n-s方程求解分层式程序处理方法
EP4506847A1 (de) * 2023-08-08 2025-02-12 Siemens Aktiengesellschaft Verfahren zum bestimmen einer simulationsfähigkeit eines simulationsmodells mittels einer elektronischen recheneinrichtung, computerprogrammprodukt, computerlesbares speichermedium sowie elektronische recheneinrichtung
KR102624263B1 (ko) * 2023-09-15 2024-01-16 광주과학기술원 무선충전모듈의 코어 설계하는 방법
CN117634101B (zh) * 2024-01-26 2024-06-25 杭州广立微电子股份有限公司 芯片表面形态确定方法、装置、计算机设备和存储介质
TR2024002432A1 (tr) * 2024-02-29 2025-09-22 Univ Istanbul Teknik Büyük parça ve cad modeli̇ni̇n bi̇lgi̇sayar destekli̇ mühendi̇sli̇k (cae) ve bi̇lgi̇sayarli tomografi̇ (bt) kullanilarak alt bölümlendi̇rme yöntemi̇
CN119783488B (zh) * 2025-03-13 2025-07-11 苏州数算软云科技有限公司 一种锻压仿真方法及相关装置

Family Cites Families (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090089234A1 (en) 2007-09-28 2009-04-02 Rockwell Automation Technologies, Inc. Automated code generation for simulators
US8346516B2 (en) * 2008-11-05 2013-01-01 Accenture Global Services Limited Predictive modeling
JP5327451B2 (ja) * 2009-02-27 2013-10-30 日本電気株式会社 実システムメモリ使用量概算方法及び装置
JP5644606B2 (ja) 2011-03-17 2014-12-24 富士通株式会社 メッシュ数予測方法、解析装置及びプログラム
US9152740B1 (en) * 2012-01-18 2015-10-06 Msc.Software Corporation Interactive simulation and solver for mechanical, fluid, and electro-mechanical systems
US8744825B2 (en) * 2012-02-13 2014-06-03 Livermore Software Technology Corp. Element refinement methods and systems in arbitrary lagrangian-eulerian (ALE) based finite element analysis
EP2894564A1 (en) * 2014-01-10 2015-07-15 Fujitsu Limited Job scheduling based on historical job data
WO2016151677A1 (ja) 2015-03-20 2016-09-29 株式会社日立製作所 解析支援装置及び解析支援方法並びに解析のメッシュ支援プログラム
JP6375066B2 (ja) * 2015-08-25 2018-08-15 株式会社日立製作所 解析支援システム及び解析支援方法
WO2017077609A1 (ja) * 2015-11-04 2017-05-11 富士通株式会社 構造解析方法、及び構造解析プログラム
JP6623851B2 (ja) 2016-03-08 2019-12-25 富士通株式会社 学習方法、情報処理装置および学習プログラム
US10193762B2 (en) 2016-08-11 2019-01-29 Rescale, Inc. Dynamic optimization of simulation resources
US20180247193A1 (en) 2017-02-24 2018-08-30 Xtract Technologies Inc. Neural network training using compressed inputs
US11132473B2 (en) * 2017-08-30 2021-09-28 Apriori Technologies, Inc. Manufacturing design modification system
US20210019189A1 (en) * 2018-04-18 2021-01-21 Landmark Graphics Corporation Methods and systems to determine and optimize reservoir simulator performance in a cloud computing environment
JP2021534522A (ja) 2018-08-10 2021-12-09 オンスケール,インコーポレイテッド 有限要素解析のためのハイブリッドメッシュ化方法
CN109918796A (zh) * 2019-03-11 2019-06-21 上海索辰信息科技有限公司 一种多学科协同仿真系统及方法

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