Archive Files

Volume 4, 2023 / Edição 4

DOI: 10.1615/JMachLearnModelComput.v4.i4

Table of Contents:

PHYSICS-INFORMED POINTNET: ON HOW MANY IRREGULAR GEOMETRIES CAN IT SOLVE AN INVERSE PROBLEM SIMULTANEOUSLY? APPLICATION TO LINEAR ELASTICITY Ali Kashefi, Leonidas J. Guibas, Tapan Mukerji

Ali Kashefi
Department of Civil & Environmental Engineering, Stanford University, Stanford, California, 94305 USA

Leonidas J. Guibas
Department of Computer Science, Stanford University, Stanford, California, 94305 USA

Tapan Mukerji
Department of Energy Science & Engineering, Stanford University, Stanford, California, 94305 USA

1-25 páginas
DOI: 10.1615/JMachLearnModelComput.2023050011

PHYSICS-INFORMED NEURAL NETWORKS BASED ON SEQUENTIAL TRAINING FOR CO₂ UTILIZATION AND STORAGE IN SUBSURFACE RESERVOIR Kiarash Mansour Pour, Denis Voskov

Kiarash Mansour Pour
Department of Geoscience and Engineering, TU Delft, Delft, Netherlands

Denis Voskov
Department of Geoscience and Engineering, TU Delft, Delft, Netherlands; Department of Energy Resources Engineering, Stanford University, CA, USA

27-40 páginas
DOI: 10.1615/JMachLearnModelComput.2023048866

MYCRUNCHGPT: A LLM ASSISTED FRAMEWORK FOR SCIENTIFIC MACHINE LEARNING Varun Kumar, Leonard Gleyzer, Adar Kahana, Khemraj Shukla, George Em Karniadakis

Varun Kumar
School of Engineering, Brown University, Providence, Rhode Island, 02912, USA

Leonard Gleyzer
Division of Applied Mathematics, Brown University, Providence, Rhode Island, 02912, USA

Adar Kahana
Division of Applied Mathematics, Brown University, Providence, Rhode Island, 02912, USA

Khemraj Shukla
Division of Applied Mathematics, Brown University, Providence, Rhode Island, 02912, USA

George Em Karniadakis
School of Engineering, Brown University, Providence, Rhode Island, 02912, USA; Division of Applied Mathematics, Brown University, Providence, Rhode Island, 02912, USA

41-72 páginas
DOI: 10.1615/JMachLearnModelComput.2023049518

ERROR ESTIMATES OF RESIDUAL MINIMIZATION USING NEURAL NETWORKS FOR LINEAR PDES Yeonjong Shin, Zhongqiang Zhang, George Em Karniadakis

Yeonjong Shin
Department of Mathematics, North Carolina State University, Raleigh, NC 27695, USA

Zhongqiang Zhang
Department of Mathematical Sciences, Worcester Polytechnic Institute, Worcester,MA 01609, USA

George Em Karniadakis
School of Engineering, Brown University, Providence, Rhode Island, 02912, USA; Division of Applied Mathematics, Brown University, Providence, Rhode Island, 02912, USA

73-101 páginas
DOI: 10.1615/JMachLearnModelComput.2023050411

LOCALLY ADAPTIVE AND DIFFERENTIABLE REGRESSION Mingxuan Han, Varun Shankar, Jeff M. Phillips, Chenglong Ye

Mingxuan Han
The Kahlert School of Computing, Merrill Engineering, 50 Central Campus Dr., Salt Lake City, UT 84112, USA

Varun Shankar
The Kahlert School of Computing, Merrill Engineering, 50 Central Campus Dr., Salt Lake City, UT 84112, USA

Jeff M. Phillips
The Kahlert School of Computing, Merrill Engineering, 50 Central Campus Dr., Salt Lake City, UT 84112, USA

Chenglong Ye
Dr. Bing Zhang Department of Statistics, 725 Rose Street, Multidisciplinary Science Building, Lexington, KY 40536-0082, USA

103-122 páginas
DOI: 10.1615/JMachLearnModelComput.2023049746

INDEX, VOLUME 4, 2023 123-126 páginas
DOI: 10.1615/JMachLearnModelComput.v4.i4.60

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