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Proceedings Papers

Using Deep Learning to Simulate Multi-Disciplinary Design Teams

Gary M. Stump, Michael Yukish, Jonathan Cagan, Christopher McComb

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A016, August 17–19, 2021

Paper No: DETC2021-70596

DOI: https://doi.org/10.1115/DETC2021-70596

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Topics: Design, Teams

Journal Articles

Using Recurrent Neural Networks to Model Spatial Grammars for Design Creation

Michael A Yukish, Gary M Stump, Simon W Miller

J. Mech. Des. October 2020, 142(10): 104501.

Paper No: MD-19-1284

DOI: https://doi.org/10.1115/1.4046806

Published Online: May 8, 2020

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Topics: Artificial neural networks, Design, String

Journal Articles

Spatial Grammar-Based Recurrent Neural Network for Design Form and Behavior Optimization

Gary M. Stump, Simon W. Miller, Michael A. Yukish, Timothy W. Simpson, Conrad Tucker

J. Mech. Des. December 2019, 141(12): 124501.

Paper No: MD-19-1169

DOI: https://doi.org/10.1115/1.4044398

Published Online: September 30, 2019

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Topics: Design, Optimization

Proceedings Papers

Employing Multidimensional Data Visualization Tools to Assess the Impact of Constraint Uncertainties on Complex Design Problems

Gary M. Stump, Simon W. Miller, Michael A. Yukish, Christopher M. Farrell

Proc. ASME. IDETC-CIE2017, Volume 2A: 43rd Design Automation Conference, V02AT03A016, August 6–9, 2017

Paper No: DETC2017-67902

DOI: https://doi.org/10.1115/DETC2017-67902

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Topics: Design, Uncertainty, Visualization, Risk

Proceedings Papers

Preference Construction, Sequential Decision Making, and Trade Space Exploration

Simon W. Miller, Timothy W. Simpson, Michael A. Yukish, Lorri A. Bennett, Sara E. Lego, Gary M. Stump

Proc. ASME. IDETC-CIE2013, Volume 3A: 39th Design Automation Conference, V03AT03A014, August 4–7, 2013

Paper No: DETC2013-13098

DOI: https://doi.org/10.1115/DETC2013-13098

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Topics: Construction, Decision making, Preferences, Design, Economics , Engineering design, Simulation

Proceedings Papers

Design Space Visualization and Its Application to a Design by Shopping Paradigm

Gary M. Stump, Mike Yukish, Timothy W. Simpson, E. Nathan Harris

Proc. ASME. IDETC-CIE2003, Volume 2: 29th Design Automation Conference, Parts A and B, 795-804, September 2–6, 2003

Paper No: DETC2003/DAC-48785

DOI: https://doi.org/10.1115/DETC2003/DAC-48785

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Topics: Design, Visualization

Journal citation

NARROW

Using Deep Learning to Simulate Multi-Disciplinary Design Teams

Using Recurrent Neural Networks to Model Spatial Grammars for Design Creation

Spatial Grammar-Based Recurrent Neural Network for Design Form and Behavior Optimization

Employing Multidimensional Data Visualization Tools to Assess the Impact of Constraint Uncertainties on Complex Design Problems

Preference Construction, Sequential Decision Making, and Trade Space Exploration

Design Space Visualization and Its Application to a Design by Shopping Paradigm

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Conference Proceedings

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Using Deep Learning to Simulate Multi-Disciplinary Design Teams

Using Recurrent Neural Networks to Model Spatial Grammars for Design Creation

Spatial Grammar-Based Recurrent Neural Network for Design Form and Behavior Optimization

Employing Multidimensional Data Visualization Tools to Assess the Impact of Constraint Uncertainties on Complex Design Problems

Preference Construction, Sequential Decision Making, and Trade Space Exploration

Design Space Visualization and Its Application to a Design by Shopping Paradigm

Journals

Conference Proceedings

eBooks

Resources

Opportunities

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