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Journal Articles

Comparing the Impacts on Team Behaviors Between Artificial Intelligence and Human Process Management in Interdisciplinary Design Teams

Joshua T. Gyory, Kenneth Kotovsky, Christopher McComb, Jonathan Cagan

J. Mech. Des. October 2022, 144(10): 104501.

Paper No: MD-21-1606

DOI: https://doi.org/10.1115/1.4054723

Published Online: June 30, 2022

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Topics: Design, Teams, Artificial intelligence, Process management (Business automation)

Journal Articles

A Computational Study of Design Team Robustness Through the Lens of Cognitive Style

Noriana Radwan, Christopher McComb

J. Mech. Des. October 2022, 144(10): 104502.

Paper No: MD-21-1626

DOI: https://doi.org/10.1115/1.4054722

Published Online: June 30, 2022

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Topics: Robustness, Teams, Design

Journal Articles

Virtual and Face-to-Face Team Collaboration Comparison Through an Agent-Based Simulation

Harshika Singh, Gaetano Cascini, Christopher McComb

J. Mech. Des. July 2022, 144(7): 071706.

Paper No: MD-21-1445

DOI: https://doi.org/10.1115/1.4054242

Published Online: May 27, 2022

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Topics: Collaboration, Design, Teams

Journal Articles

Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations

Matthew Li, Christopher McComb

J. Comput. Inf. Sci. Eng. August 2022, 22(4): 044501.

Paper No: JCISE-21-1160

DOI: https://doi.org/10.1115/1.4053671

Published Online: February 21, 2022

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Topics: Computational fluid dynamics, Fluids, Physics, Resolution (Optics), Simulation, Engineering simulation, Turbulence

Proceedings Papers

Multi-Objective Model-Based Optimization of Pilot Decision Making for Urban Air Mobility

Nicholas Holowsko, Christopher McComb

Proc. ASME. IMECE2021, Volume 6: Design, Systems, and Complexity, V006T06A024, November 1–5, 2021

Paper No: IMECE2021-69819

DOI: https://doi.org/10.1115/IMECE2021-69819

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Topics: Cities, Decision making, Mechanical admittance, Optimization, Vehicles, Aircraft, Simulation, Automotive design, Sensitivity analysis, Traffic

Proceedings Papers

When the Going Gets Tough: Exploring Changes in the Startup Landscape Due to the Challenges of 2020

Tobias Mahan, Pratima Saravanan, Sandeep Krishnakumar, Hannah Nolte, Christopher McComb, Jessica Menold

Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A035, August 17–19, 2021

Paper No: DETC2021-71798

DOI: https://doi.org/10.1115/DETC2021-71798

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Topics: Data mining, Engineering design processes, Feedback, Fracture toughness, Modeling, Pandemics, Principal component analysis, Product design, Product development

Proceedings Papers

Comparing Virtual and Face-to-Face Team Collaboration: Insights From an Agent-Based Simulation

Harshika Singh, Gaetano Cascini, Christopher McComb

Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A022, August 17–19, 2021

Paper No: DETC2021-66043

DOI: https://doi.org/10.1115/DETC2021-66043

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Topics: Collaboration, Design, Performance, Simulation, Teams

Proceedings Papers

Addressing Challenges to Problem Complexity: Effectiveness of AI Assistance During the Design Process

Binyang Song, Nicolás F. Soria Zurita, Hannah Nolte, Harshika Singh, Jonathan Cagan, Christopher McComb

Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A055, August 17–19, 2021

Paper No: DETC2021-70467

DOI: https://doi.org/10.1115/DETC2021-70467

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Topics: Artificial intelligence, Design, Engineering design

Proceedings Papers

Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations

Matthew Li, Christopher McComb

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A001, August 17–19, 2021

Paper No: DETC2021-66719

DOI: https://doi.org/10.1115/DETC2021-66719

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Topics: Engineering simulation, Fluids, Physics, Resolution (Optics), Simulation, Fluid dynamics, Computational fluid dynamics, Engineering design, Machine learning, Turbulence

Proceedings Papers

Stochastically-Trained Physics-Informed Neural Networks: Application to Thermal Analysis in Metal Laser Powder Bed Fusion

Justin Pierce, Glen Williams, Timothy W. Simpson, Nicholas A. Meisel, Christopher McComb

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A004, August 17–19, 2021

Paper No: DETC2021-70557

DOI: https://doi.org/10.1115/DETC2021-70557

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Topics: Artificial neural networks, Lasers, Metals, Physics, Thermal analysis, Engineering simulation, Machine learning, Manufacturing, Simulation, Transients (Dynamics)

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

Human Versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design

Joshua T. Gyory, Nicolás F. Soria Zurita, Jay Martin, Corey Balon, Christopher McComb, Kenneth Kotovsky, Jonathan Cagan

J. Mech. Des. February 2022, 144(2): 021405.

Paper No: MD-21-1267

DOI: https://doi.org/10.1115/1.4052488

Published Online: October 14, 2021

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Topics: Design, Teams, Artificial intelligence

Journal Articles

Design Strategy Network: A Deep Hierarchical Framework to Represent Generative Design Strategies in Complex Action Spaces

Ayush Raina, Jonathan Cagan, Christopher McComb

J. Mech. Des. February 2022, 144(2): 021404.

Paper No: MD-21-1227

DOI: https://doi.org/10.1115/1.4052566

Published Online: October 11, 2021

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Topics: Design, Generative design, Space, Decision making, Trusses (Building)

Journal Articles

When Faced With Increasing Complexity: The Effectiveness of Artificial Intelligence Assistance for Drone Design

Binyang Song, Nicolás F. Soria Zurita, Hannah Nolte, Harshika Singh, Jonathan Cagan, Christopher McComb

J. Mech. Des. February 2022, 144(2): 021701.

Paper No: MD-21-1215

DOI: https://doi.org/10.1115/1.4051871

Published Online: September 9, 2021

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Topics: Design, Unmanned aerial vehicles

Journal Articles

Are You Feeling Me? An Exploration of Empathy Development in Engineering Design Education

Mohammad Alsager Alzayed, Christopher McComb, Jessica Menold, Jacquelyn Huff, Scarlett R. Miller

J. Mech. Des. November 2021, 143(11): 112301.

Paper No: MD-20-1008

DOI: https://doi.org/10.1115/1.4048624

Published Online: September 6, 2021

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Topics: Design, Students, Engineering design, Education

Includes: Supplementary data

Journal Articles

Goal-Directed Design Agents: Integrating Visual Imitation With One-Step Lookahead Optimization for Generative Design

Ayush Raina, Lucas Puentes, Jonathan Cagan, Christopher McComb

J. Mech. Des. December 2021, 143(12): 124501.

Paper No: MD-20-1783

DOI: https://doi.org/10.1115/1.4051013

Published Online: June 9, 2021

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Topics: Design, Trusses (Building), Construction, Feedback

Journal Articles

Lost in Translation: Examining the Complex Relationship Between Prototyping and Communication

Sandeep Krishnakumar, Catherine Berdanier, Christopher McComb, Jessica Menold

J. Mech. Des. September 2021, 143(9): 091402.

Paper No: MD-20-1836

DOI: https://doi.org/10.1115/1.4049885

Published Online: February 11, 2021

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Topics: Design, Students, Engineering prototypes

Journal Articles

An Adversarial Agent-Based Design Method Using Stochastic Stackelberg Game Conditions

Sean C. Rismiller, Jonathan Cagan, Christopher McComb

J. Mech. Des. March 2021, 143(3): 031714.

Paper No: MD-20-1689

DOI: https://doi.org/10.1115/1.4049862

Published Online: January 29, 2021

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Topics: Design, Trusses (Building), Design methodology

Journal Articles

Assessing Engineering Design: A Comparison of the Effect of Exams and Design Practica on First-Year Students’ Design Self-Efficacy

Hannah Nolte, Catherine Berdanier, Jessica Menold, Christopher McComb

J. Mech. Des. May 2021, 143(5): 052301.

Paper No: MD-20-1405

DOI: https://doi.org/10.1115/1.4048747

Published Online: November 17, 2020

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Topics: Design, Students, Engineering design

Proceedings Papers

Comparison of Exams and Design Practica for Assessment in First Year Engineering Design Courses

Hannah Nolte, Catherine Berdanier, Jessica Menold, Christopher McComb

Proc. ASME. IDETC-CIE2020, Volume 3: 17th International Conference on Design Education (DEC), V003T03A005, August 17–19, 2020

Paper No: DETC2020-22054

DOI: https://doi.org/10.1115/DETC2020-22054

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Topics: Design, Engineering design, Students, Engineering students, Design education, Competencies, Performance, Reflection, Teams

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Journal citation

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Supplemental Material

Comparing the Impacts on Team Behaviors Between Artificial Intelligence and Human Process Management in Interdisciplinary Design Teams

A Computational Study of Design Team Robustness Through the Lens of Cognitive Style

Virtual and Face-to-Face Team Collaboration Comparison Through an Agent-Based Simulation

Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations

Multi-Objective Model-Based Optimization of Pilot Decision Making for Urban Air Mobility

When the Going Gets Tough: Exploring Changes in the Startup Landscape Due to the Challenges of 2020

Comparing Virtual and Face-to-Face Team Collaboration: Insights From an Agent-Based Simulation

Addressing Challenges to Problem Complexity: Effectiveness of AI Assistance During the Design Process

Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations

Stochastically-Trained Physics-Informed Neural Networks: Application to Thermal Analysis in Metal Laser Powder Bed Fusion

Using Deep Learning to Simulate Multi-Disciplinary Design Teams

Human Versus Artificial Intelligence: A Data-Driven Approach to Real-Time Process Management During Complex Engineering Design

Design Strategy Network: A Deep Hierarchical Framework to Represent Generative Design Strategies in Complex Action Spaces

When Faced With Increasing Complexity: The Effectiveness of Artificial Intelligence Assistance for Drone Design

Are You Feeling Me? An Exploration of Empathy Development in Engineering Design Education

Goal-Directed Design Agents: Integrating Visual Imitation With One-Step Lookahead Optimization for Generative Design

Lost in Translation: Examining the Complex Relationship Between Prototyping and Communication

An Adversarial Agent-Based Design Method Using Stochastic Stackelberg Game Conditions

Assessing Engineering Design: A Comparison of the Effect of Exams and Design Practica on First-Year Students’ Design Self-Efficacy

Comparison of Exams and Design Practica for Assessment in First Year Engineering Design Courses

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