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Daniele Grandi
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Journal Articles

Elicitron: A Large Language Model Agent-Based Simulation Framework for Design Requirements Elicitation

Mohammadmehdi Ataei, Hyunmin Cheong, Daniele Grandi, Ye Wang, Nigel Morris, Alexander Tessier
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2025, 25(2): 021012.
Paper No: JCISE-24-1172
https://doi.org/10.1115/1.4067388
Published Online: January 16, 2025
View Article titled, Elicitron: A Large Language Model Agent-Based Simulation Framework for Design Requirements Elicitation
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Topics: Design, Large language models
Journal Articles

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

Yash Patawari Jain, Daniele Grandi, Allin Groom, Brandon Cramer, Christopher McComb
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Technical Briefs
J. Mech. Des. April 2025, 147(4): 044502.
Paper No: MD-24-1475
https://doi.org/10.1115/1.4067453
Published Online: January 15, 2025
View Article titled, MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models
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Topics: Design
Journal Articles

Do Large Language Models Produce Diverse Design Concepts? A Comparative Study with Human-Crowdsourced Solutions

Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Technical Briefs
J. Comput. Inf. Sci. Eng. February 2025, 25(2): 024501.
Paper No: JCISE-24-1137
https://doi.org/10.1115/1.4067332
Published Online: December 23, 2024
View Article titled, Do Large Language Models Produce Diverse Design Concepts? A Comparative Study with Human-Crowdsourced Solutions
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Topics: Crowdsourcing, Design, Large language models
Journal Articles

DesignQA: A Multimodal Benchmark for Evaluating Large Language Models’ Understanding of Engineering Documentation

Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Mohammadmehdi Ataei, Hyunmin Cheong, Faez Ahmed
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2025, 25(2): 021009.
Paper No: JCISE-24-1230
https://doi.org/10.1115/1.4067333
Published Online: December 23, 2024
View Article titled, DesignQA: A Multimodal Benchmark for Evaluating Large Language Models’ Understanding of Engineering Documentation
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Topics: Computer-aided design, Design, Dimensions, Engineering design, Large language models, Retrieval-augmented generation, Vehicles, Engineers, Engineering drawings, Engineering drawing and drafting
Journal Articles

Evaluating Large Language Models for Material Selection

Daniele Grandi, Yash Patawari Jain, Allin Groom, Brandon Cramer, Christopher McComb
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2025, 25(2): 021004.
Paper No: JCISE-24-1207
https://doi.org/10.1115/1.4066730
Published Online: November 14, 2024
View Article titled, Evaluating Large Language Models for Material Selection
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Topics: Design, Large language models, Temperature, Chain
Proceedings Papers

DesignQA: Benchmarking Multimodal Large Language Models on Questions Grounded in Engineering Documentation

Anna C. Doris, Daniele Grandi, Ryan Tomich, Md Ferdous Alam, Hyunmin Cheong, Faez Ahmed
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A016, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-139024
https://doi.org/10.1115/DETC2024-139024
View Paper titled, DesignQA: Benchmarking Multimodal Large Language Models on Questions Grounded in Engineering Documentation
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Topics: Large language models, Design, Computer-aided design, Engineering design processes, Engineering drawings, Engineers, Student competitions
Proceedings Papers

Elicitron: A Framework for Simulating Design Requirements Elicitation Using Large Language Model Agents

Mohammadmehdi Ataei, Hyunmin Cheong, Daniele Grandi, Ye Wang, Nigel Morris, Alexander Tessier
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A056, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143598
https://doi.org/10.1115/DETC2024-143598
View Paper titled, Elicitron: A Framework for Simulating Design Requirements Elicitation Using Large Language Model Agents
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Topics: Design, Large language models, Product development, Chain, Innovation, Machine learning, Simulation
Proceedings Papers

Material Selection Using Large Language Models

Yash Patawari Jain, Daniele Grandi, Allin Groom, Brandon Cramer, Christopher McComb
Proc. ASME. IDETC-CIE2024, Volume 3B: 50th Design Automation Conference (DAC), V03BT03A058, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143751
https://doi.org/10.1115/DETC2024-143751
View Paper titled, Material Selection Using Large Language Models
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Topics: Large language models, Design, Conceptual design, Manufacturing, Architecture, Construction, Cycles, Natural language processing, Optimization, Preferences
Proceedings Papers

Conceptual Design Generation Using Large Language Models

Kevin Ma, Daniele Grandi, Christopher McComb, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2023, Volume 6: 35th International Conference on Design Theory and Methodology (DTM), V006T06A021, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116838
https://doi.org/10.1115/DETC2023-116838
View Paper titled, Conceptual Design Generation Using Large Language Models
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Topics: Conceptual design, Crowdsourcing, Design, Natural language processing, Machine learning
Journal Articles

HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in Computer-Aided Design

Shijie Bian, Daniele Grandi, Tianyang Liu, Pradeep Kumar Jayaraman, Karl Willis, Elliot Sadler, Bodia Borijin, Thomas Lu, Richard Otis, Nhut Ho, Bingbing Li
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. January 2024, 24(1): 011007.
Paper No: JCISE-22-1394
https://doi.org/10.1115/1.4063226
Published Online: October 4, 2023
View Article titled, HG-CAD: Hierarchical Graph Learning for Material Prediction and Recommendation in Computer-Aided Design
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Topics: Artificial neural networks, Computer-aided design, Design, Manufacturing, Topology, Geometry
Journal Articles

What’s in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models Through User-Provided Names in Computer Aided Design Files

Peter Meltzer, Joseph G. Lambourne, Daniele Grandi
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. January 2024, 24(1): 011002.
Paper No: JCISE-23-1017
https://doi.org/10.1115/1.4062454
Published Online: June 23, 2023
View Article titled, What’s in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models Through User-Provided Names in Computer Aided Design Files
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Topics: Computer-aided design, Manufacturing, Semantics, String, Design
Journal Articles

Embedding Experiential Design Knowledge in Interactive Knowledge Graphs

Ye Wang, Nicole Goridkov, Vivek Rao, Dixun Cui, Daniele Grandi, Kosa Goucher-Lambert
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2023, 145(4): 041412.
Paper No: MD-22-1323
https://doi.org/10.1115/1.4056800
Published Online: February 20, 2023
View Article titled, Embedding Experiential Design Knowledge in Interactive Knowledge Graphs
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Topics: Design
Proceedings Papers

Capturing Designers’ Experiential Knowledge in Scalable Representation Systems: A Case Study of Knowledge Graphs for Product Teardowns

Nicole Goridkov, Vivek Rao, Dixun Cui, Daniele Grandi, Ye Wang, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A032, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90697
https://doi.org/10.1115/DETC2022-90697
View Paper titled, Capturing Designers’ Experiential Knowledge in Scalable Representation Systems: A Case Study of Knowledge Graphs for Product Teardowns
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Topics: Design, Dimensions, Engineering design, Engineering design processes, Engineering disciplines, Semantics
Proceedings Papers

Material Prediction for Design Automation Using Graph Representation Learning

Shijie Bian, Daniele Grandi, Kaveh Hassani, Elliot Sadler, Bodia Borijin, Axel Fernandes, Andrew Wang, Thomas Lu, Richard Otis, Nhut Ho, Bingbing Li
Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A001, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-88049
https://doi.org/10.1115/DETC2022-88049
View Paper titled, Material Prediction for Design Automation Using Graph Representation Learning
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Topics: Design automation, Design, Manufacturing, Artificial neural networks, Computer-aided design, Sustainability
Proceedings Papers

Understanding Professional Designers’ Knowledge Organization Behavior: A Case Study in Product Teardowns

Ye Wang, Daniele Grandi, Dixun Cui, Vivek Rao, Kosa Goucher-Lambert
Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A046, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-68589
https://doi.org/10.1115/DETC2021-68589
View Paper titled, Understanding Professional Designers’ Knowledge Organization Behavior: A Case Study in Product Teardowns
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Topics: Collaboration, Design, Engineering design, Knowledge transfer, Manufacturing, Teams, Tradeoffs
Journal Articles

Classifying Component Function in Product Assemblies With Graph Neural Networks

Vincenzo Ferrero, Bryony DuPont, Kaveh Hassani, Daniele Grandi
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2022, 144(2): 021406.
Paper No: MD-21-1111
https://doi.org/10.1115/1.4052720
Published Online: November 9, 2021
View Article titled, Classifying Component Function in Product Assemblies With Graph Neural Networks
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Topics: Artificial neural networks, Design, Flow (Dynamics), Manufacturing, Product design
Proceedings Papers

Embedded Sensors and Feedback Loops for Iterative Improvement in Design Synthesis for Additive Manufacturing

Mehdi Nourbakhsh, Nigel Morris, Michael Bergin, Francesco Iorio, Daniele Grandi
Proc. ASME. IDETC-CIE2016, Volume 1A: 36th Computers and Information in Engineering Conference, V01AT02A031, August 21–24, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DETC2016-59627
https://doi.org/10.1115/DETC2016-59627
View Paper titled, Embedded Sensors and Feedback Loops for Iterative Improvement in Design Synthesis for Additive Manufacturing
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Topics: Additive manufacturing, Design, Feedback, Sensors, Internet of things, Engineering prototypes, Engineers, Optimization, Topology, Tradeoffs