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Journal Articles

StressGAN: A Generative Deep Learning Model for Two-Dimensional Stress Distribution Prediction

Haoliang Jiang, Zhenguo Nie, Roselyn Yeo, Amir Barati Farimani, Levent Burak Kara

Publisher: ASME

J. Appl. Mech. May 2021, 88(5): 051005.

Paper No: JAM-20-1553

https://doi.org/10.1115/1.4049805

Published Online: February 11, 2021

View Article titled, StressGAN: A Generative Deep Learning Model for Two-Dimensional Stress Distribution Prediction

Topics: Stress, Stress concentration, Geometry, Boundary-value problems

Journal Articles

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

Zhenguo Nie, Tong Lin, Haoliang Jiang, Levent Burak Kara

Publisher: ASME

J. Mech. Des. March 2021, 143(3): 031715.

Paper No: MD-20-1434

https://doi.org/10.1115/1.4049533

Published Online: February 3, 2021

View Article titled, TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

Topics: Generators, Optimization, Stress, Topology, Boundary-value problems, Design, Displacement

Proceedings Papers

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

Zhenguo Nie, Tong Lin, Haoliang Jiang, Levent Burak Kara

Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A008, August 17–19, 2020

Publisher: American Society of Mechanical Engineers

Paper No: DETC2020-22675

https://doi.org/10.1115/DETC2020-22675

View Paper titled, TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

Topics: Optimization, Topology, Boundary-value problems, Errors, Generators, Design, Excitation, Network models, Stress

Proceedings Papers

StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction

Haoliang Jiang, Zhenguo Nie, Roselyn Yeo, Amir Barati Farimani, Levent Burak Kara

Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A023, August 17–19, 2020

Publisher: American Society of Mechanical Engineers

Paper No: DETC2020-22682

https://doi.org/10.1115/DETC2020-22682

View Paper titled, StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction

Topics: Stress concentration, Stress, Boundary-value problems, Geometry, Artificial neural networks, Computation, Neural network models, Performance, Physics, Resolution (Optics)

Proceedings Papers

3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders

Wentai Zhang, Zhangsihao Yang, Haoliang Jiang, Suyash Nigam, Soji Yamakawa, Tomotake Furuhata, Kenji Shimada, Levent Burak Kara

Proc. ASME. IDETC-CIE2019, Volume 2A: 45th Design Automation Conference, V02AT03A017, August 18–21, 2019

Publisher: American Society of Mechanical Engineers

Paper No: DETC2019-98525

https://doi.org/10.1115/DETC2019-98525

View Paper titled, 3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders

Topics: Conceptual design, Optimization, Shapes, Design, Encryption, Engineering simulation, Generators, Physics, Shape design, Simulation

Proceedings Papers

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

Zhenguo Nie, Haoliang Jiang, Levent Burak Kara

Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A011, August 18–21, 2019

Publisher: American Society of Mechanical Engineers

Paper No: DETC2019-98472

https://doi.org/10.1115/DETC2019-98472

View Paper titled, Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

Topics: Artificial neural networks, Stress

Journal Articles

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

Zhenguo Nie, Haoliang Jiang, Levent Burak Kara

Publisher: ASME

J. Comput. Inf. Sci. Eng. February 2020, 20(1): 011002.

Paper No: JCISE-19-1077

https://doi.org/10.1115/1.4044097

Published Online: September 10, 2019

View Article titled, Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

Topics: Stress, Artificial neural networks, Geometry, Testing

Journal citation

NARROW

StressGAN: A Generative Deep Learning Model for Two-Dimensional Stress Distribution Prediction

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction

3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

StressGAN: A Generative Deep Learning Model for Two-Dimensional Stress Distribution Prediction

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction

3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

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