Large language model agent as a mechanical designer
Y Jadhav, AB Farimani - arXiv preprint arXiv:2404.17525, 2024 - arxiv.org
Conventional mechanical design paradigms rely on experts systematically refining concepts
through experience-guided modification and FEA to meet specific requirements. However …
through experience-guided modification and FEA to meet specific requirements. However …
[HTML][HTML] Systematic synthesis of design prompts for large language models in conceptual design
Recent advancements in large language models (LLMs) demonstrate great potential in
supporting engineering design, especially conceptual design. Prompt engineering plays an …
supporting engineering design, especially conceptual design. Prompt engineering plays an …
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
This research introduces DesignQA, a novel benchmark aimed at evaluating the proficiency
of multimodal large language models (MLLMs) in comprehending and applying engineering …
of multimodal large language models (MLLMs) in comprehending and applying engineering …
From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges
Generative Artificial Intelligence (AI) has shown tremendous prospects in all aspects of
technology, including design. However, due to its heavy demand on resources, it is usually …
technology, including design. However, due to its heavy demand on resources, it is usually …
[HTML][HTML] Integration of data science with product design towards data-driven design
This paper aims to investigate the scientific integration of data science with product design
towards data-driven design (D3). Data science has potential to facilitate design decision …
towards data-driven design (D3). Data science has potential to facilitate design decision …
Sketch2Prototype: rapid conceptual design exploration and prototyping with generative AI
KM Edwards, B Man, F Ahmed - Proceedings of the Design Society, 2024 - cambridge.org
Sketch2Prototype is an AI-based framework that transforms a hand-drawn sketch into a
diverse set of 2D images and 3D prototypes through sketch-to-text, text-to-image, and image …
diverse set of 2D images and 3D prototypes through sketch-to-text, text-to-image, and image …
[HTML][HTML] GeoLocator: A Location-Integrated Large Multimodal Model (LMM) for Inferring Geo-Privacy
To ensure the sustainable development of artificial intelligence (AI) application in urban and
geospatial science, it is important to protect the geographic privacy, or geo-privacy, which …
geospatial science, it is important to protect the geographic privacy, or geo-privacy, which …
Large language model-assisted surrogate modelling for engineering optimization
T Rios, F Lanfermann, S Menzel - 2024 IEEE Conference on …, 2024 - ieeexplore.ieee.org
Engineers often utilize data-driven surrogate models in optimization to partially replace the
costly computational simulations of physics-based models. However, different aspects affect …
costly computational simulations of physics-based models. However, different aspects affect …
Evaluating Large Language Models for Material Selection
Material selection is a crucial step in conceptual design due to its significant impact on the
functionality, aesthetics, manufacturability, and sustainability impact of the final product. This …
functionality, aesthetics, manufacturability, and sustainability impact of the final product. This …
MSEval: A Dataset for Material Selection in Conceptual Design to Evaluate Algorithmic Models
Material selection plays a pivotal role in many industries, from manufacturing to construction.
Material selection is usually carried out after several cycles of conceptual design, during …
Material selection is usually carried out after several cycles of conceptual design, during …