Following the rise of large language models (LLM) and generative AI in 2023, there has been an expansion of their applications beyond the niche field of natural language processing. I initiated this repo to serve as a collection point for academic papers at the intersection of LLM/GenAI and Mechanical/Materials Engineering.
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MechGPT: MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities [Paper]
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3D-PreMise: 3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control? [Paper]
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Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension [Paper]
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How Can Large Language Models Help Humans in Design and Manufacturing? [Paper]
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Generative Transformers for Design Concept Generation [Paper]
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ChatGPT and finetuned BERT: A comparative study for developing intelligent design support systems [Paper]
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Opportunities for Large Language Models and Discourse in Engineering Design [Paper]
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Natural language processing in-and-for design research [Paper]
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Latent Diffusion Models for Structural Component Design [Paper]
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Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding [Paper]
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MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge [Paper]
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Generative Retrieval-Augmented Ontologic Graph and Multiagent Strategies for Interpretive Large Language Model-Based Materials Design [Paper]
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MeLM: MeLM, a Generative Pretrained Language Modeling Framework That Solves Forward and Inverse Mechanics Problems - [Paper] - [GitHub]
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BioinspiredLLM: BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials [Paper]
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MPEGO: MPEGO: A toolkit for multi-level performance evaluation of generative models for material discovery domains [Paper]