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Journal Articles

Perspective: Machine Learning in Design for 3D/4D Printing

Xiaohao Sun, Kun Zhou, Frédéric Demoly, Ruike Renee Zhao, H. Jerry Qi
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Review Articles
J. Appl. Mech. March 2024, 91(3): 030801.
Paper No: JAM-23-1345
https://doi.org/10.1115/1.4063684
Published Online: October 31, 2023
View Article titled, Perspective: Machine Learning in Design for 3D/4D Printing
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Topics: 4d printing, Design, Machine learning, Shapes, Mechanical properties, Stress, Composite materials
Journal Articles

Perspective: Large Language Models in Applied Mechanics

Neal R. Brodnik, Samuel Carton, Caelin Muir, Satanu Ghosh, Doug Downey, McLean P. Echlin, Tresa M. Pollock, Samantha Daly
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research Papers
J. Appl. Mech. October 2023, 90(10): 101008.
Paper No: JAM-23-1201
https://doi.org/10.1115/1.4062773
Published Online: July 17, 2023
View Article titled, Perspective: Large Language Models in Applied Mechanics
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Topics: Engineering mechanics, Errors, Natural language processing, Databases, Engines, Machine learning, Computer programming
Journal Articles

Materials Informatics Tools in the Context of Bio-Inspired Material Mechanics

Rachel K. Luu, Markus J. Buehler
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Review Articles
J. Appl. Mech. September 2023, 90(9): 090801.
Paper No: JAM-23-1116
https://doi.org/10.1115/1.4062310
Published Online: May 26, 2023
View Article titled, Materials Informatics Tools in the Context of Bio-Inspired Material Mechanics
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Topics: Biomimetics, Design, Machine learning, Modeling
Journal Articles

A Data-Driven Model to Predict Constitutive and Failure Behavior of Elastomers Considering the Strain Rate, Temperature, and Filler Ratio

Aref Ghaderi, Roozbeh Dargazany
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research Papers
J. Appl. Mech. May 2023, 90(5): 051010.
Paper No: JAM-22-1374
https://doi.org/10.1115/1.4056705
Published Online: February 8, 2023
View Article titled, A Data-Driven Model to Predict Constitutive and Failure Behavior of Elastomers Considering the Strain Rate, Temperature, and Filler Ratio
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Topics: Artificial neural networks, Damage, Deformation, Elastomers, Engines, Fillers (Materials), Physics, Polymers, Rubber, Stress
Journal Articles

Component-Based Machine Learning Paradigm for Discovering Rate-Dependent and Pressure-Sensitive Level-Set Plasticity Models

Nikolaos N. Vlassis, WaiChing Sun
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research Papers
J. Appl. Mech. February 2022, 89(2): 021003.
Paper No: JAM-21-1305
https://doi.org/10.1115/1.4052684
Published Online: November 1, 2021
View Article titled, Component-Based Machine Learning Paradigm for Discovering Rate-Dependent and Pressure-Sensitive Level-Set Plasticity Models
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Topics: Artificial neural networks, Hardening, Machine learning, Plasticity, Stress, Pressure
Journal Articles

A Data-Driven Framework for Buckling Analysis of Near-Spherical Composite Shells Under External Pressure

Mitansh Doshi, Xin Ning
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research Papers
J. Appl. Mech. August 2021, 88(8): 081007.
Paper No: JAM-21-1068
https://doi.org/10.1115/1.4051332
Published Online: June 21, 2021
View Article titled, A Data-Driven Framework for Buckling Analysis of Near-Spherical Composite Shells Under External Pressure
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Topics: Buckling, Composite materials, Design, Finite element analysis, Machine learning, Shells, Simulation, Stress, External pressure, Trains
Journal Articles

Machine Learning-Driven Real-Time Topology Optimization Under Moving Morphable Component-Based Framework

Xin Lei, Chang Liu, Zongliang Du, Weisheng Zhang, Xu Guo
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research-Article
J. Appl. Mech. January 2019, 86(1): 011004.
Paper No: JAM-18-1462
https://doi.org/10.1115/1.4041319
Published Online: October 5, 2018
View Article titled, Machine Learning-Driven Real-Time Topology Optimization Under Moving Morphable Component-Based Framework
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Topics: Optimization, Topology, Design, Machine learning, Stress