Christopher McComb

According to our database, Christopher McComb authored at least 37 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accelerating Thermal Simulations in Additive Manufacturing by Training Physics-Informed Neural Networks With Randomly Synthesized Data.

Jiangce Chen, Justin Pierce, Glen Williams, Timothy W. Simpson, Nicholas A. Meisel, Sneha Prabha Narra, Christopher McComb

J. Comput. Inf. Sci. Eng., January, 2024

MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models.

Yash Patawari Jain, Daniele Grandi, Allin Groom, Brandon Cramer, Christopher McComb

CoRR, 2024

Smooth Like Butter: Evaluating Multi-Lattice Transitions in Property-Augmented Latent Spaces.

Martha Baldwin, Nicholas A. Meisel, Christopher McComb

CoRR, 2024

Evaluating Large Language Models for Material Selection.

Daniele Grandi, Yash Patawari Jain, Allin Groom, Brandon Cramer, Christopher McComb

CoRR, 2024

Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions.

Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert

CoRR, 2024

Data Scoping: Effectively Learning the Evolution of Generic Transport PDEs.

Jiangce Chen, Wenzhuo Xu, Zeda Xu, Noelia Grande Gutiérrez, Sneha Prabha Narra, Christopher McComb

CoRR, 2024

GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets.

Zeda Xu, John Liechty, Sebastian Benthall, Nicholas Skar-Gislinge, Christopher McComb

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

AddLat2D the 2D Lattice Generator.

Martha Baldwin, Nicholas A. Meisel, Christopher McComb

Softw. Impacts, September, 2023

Reinforcement Learning for Efficient Design Space Exploration With Variable Fidelity Analysis Models.

Akash Agrawal, Christopher McComb

J. Comput. Inf. Sci. Eng., 2023

Capturing Local Temperature Evolution during Additive Manufacturing through Fourier Neural Operators.

Jiangce Chen, Wenzhuo Xu, Martha Baldwin, Björn Nijhuis, Ton van den Boogaard, Noelia Grande Gutiérrez, Sneha Prabha Narra, Christopher McComb

CoRR, 2023

Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions.

Martha Baldwin, Nicholas A. Meisel, Christopher McComb

CoRR, 2023

AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs.

Adam D. Cobb, Anirban Roy, Daniel Elenius, F. Michael Heim, Brian Swenson, Sydney Whittington, James D. Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha

CoRR, 2023

Conceptual Design Generation Using Large Language Models.

Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert

CoRR, 2023

Skeleton-based Human Action Recognition in a Thermal Comfort Context.

John Martins, Katherine A. Flanigan, Christopher McComb

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Exploring the Potentials and Challenges of Cyber-Physical-Social Infrastructure Systems for Achieving Human-Centered Objectives.

Maral Doctorarastoo, Katherine A. Flanigan, Mario Bergés, Christopher McComb

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Modeling Human Behavior in Cyber-Physical-Social Infrastructure Systems.

Maral Doctorarastoo, Katherine A. Flanigan, Mario Bergés, Christopher McComb

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs.

Adam B. Cobb, Anirban Roy, Daniel Elenius, F. Michael Heim, Brian Swenson, Sydney Whittington, James D. Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MegaFlow2D: A Parametric Dataset for Machine Learning Super-resolution in Computational Fluid Dynamics Simulations.

Wenzhuo Xu, Noelia Grande Gutiérrez, Christopher McComb

Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

2022

Design for Artificial Intelligence: Proposing a Conceptual Framework Grounded in Data Wrangling.

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

J. Comput. Inf. Sci. Eng., February, 2022

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

Matthew Li, Christopher McComb

J. Comput. Inf. Sci. Eng., 2022

The Relationship Between Performance and Trust in AI in E-Finance.

Torsten Maier, Jessica Menold, Christopher McComb

Frontiers Artif. Intell., 2022

Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search.

Ayush Raina, Jonathan Cagan, Christopher McComb

CoRR, 2022

Simulating Heterogeneous Portfolio Choices and Financial Market Outcomes.

Sebastian Benthall, Christopher D. Carroll, Zachary David, John Liechty, Alan Lujan, Christopher McComb, Nicholas Skar-Gislinge

Proceedings of the 2nd Workshop on Agent-based Modeling and Policy-Making (AMPM 2022) co-located with 35th International Conference on Legal Knowledge and Information Systems (JURIX 2022), 2022

2021

A Query Conundrum: The Mental Challenges of Using a Cognitive Assistant.

Torsten Maier, Saeed Abdullah, Christopher McComb, Jessica Menold

SN Comput. Sci., 2021

Data-Driven Heuristic Induction From Human Design Behavior.

Lucas Puentes, Jonathan Cagan, Christopher McComb

J. Comput. Inf. Sci. Eng., 2021

A strategic decision-making architecture toward hybrid teams for dynamic competitive problems.

Alparslan Emrah Bayrak, Christopher McComb, Jonathan Cagan, Kenneth Kotovsky

Decis. Support Syst., 2021

Design Strategy Network: A deep hierarchical framework to represent generative design strategies in complex action spaces.

Ayush Raina, Jonathan Cagan, Christopher McComb

CoRR, 2021

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

Ayush Raina, Lucas Puentes, Jonathan Cagan, Christopher McComb

CoRR, 2021

Influencers in design teams: a computational framework to study their impact on idea generation.

Harshika Singh, Gaetano Cascini, Christopher McComb

Artif. Intell. Eng. Des. Anal. Manuf., 2021

Empathic creativity: can trait empathy predict creative concept generation and selection?

Mohammad Alsager Alzayed, Scarlett R. Miller, Christopher McComb

Artif. Intell. Eng. Des. Anal. Manuf., 2021

2020

Heuristic-Guided Solution Search Through a Two-Tiered Design Grammar.

Lucas Puentes, Jonathan Cagan, Christopher McComb

J. Comput. Inf. Sci. Eng., 2020

Using Adaption-Innovation Theory to Simulate Robustness in Design Teams.

Noriana Radwan, Christopher McComb

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

Towards Enhanced Creativity in Interface Design through Automated Usability Evaluation.

Snehal Dhengre, Jayant Mathur, Farzaneh Oghazian, Xiaomei Tan, Christopher McComb

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

Natural Language Processing for Theoretical Framework Selection in Engineering Education Research.

Catherine G. P. Berdanier, Christopher M. McComb, Weiwei Zhu

Proceedings of the IEEE Frontiers in Education Conference, 2020

2019

Learning to design from humans: Imitating human designers through deep learning.

Ayush Raina, Christopher McComb, Jonathan Cagan

CoRR, 2019

2018

Opportunities for Natural Language Processing in Qualitative Engineering Education Research: Two Examples.

Catherine G. P. Berdanier, Eric Baker, Weiqin Wang, Christopher McComb

Proceedings of the IEEE Frontiers in Education Conference, 2018

2014

Identifying technical and economic improvements to the MoneyMaker Hip pump through multi-objective optimization.

Christopher McComb, Pablo S. Santaeufemia, Nathan G. Johnson, Kenji Shimada

Proceedings of the IEEE Global Humanitarian Technology Conference, 2014