From the 1 of 6 linked papers with an AI index.
6 papers
Natural-Language to SysMLv2 Translation via Conformance-Driven Iterative Refinement
Chance LaVoie, Eladio Andujar Lugo, Taylan G. Topcu +1
The paper introduces a conformance‑checker‑driven framework that iteratively translates natural‑language descriptions into SysMLv2 models, using a generate‑check‑repair loop to ens…
Ortho2CAD: 3D CAD generation from orthographic drawings using vision language models
Aditya Joglekar, Amit Regmi, Kenji Shimada +1
Engineering design intent is often communicated through rasterized orthographic drawings. However, downstream workflows require editable and parametrically defined 3D computer-aide…
MDDM: A Molecular Dynamics Diffusion Model to Predict Particle Self-Assembly
Kevin Ferguson, Yu-hsuan Chen, Levent Burak Kara
The discovery and study of new material systems rely on molecular simulations that often come with significant computational expense. We propose MDDM, a Molecular Dynamics Diffusio…
Multi-scale Topology Optimization using Neural Networks
Hongrui Chen, Xingchen Liu, Levent Burak Kara
A long-standing challenge is designing multi-scale structures with good connectivity between cells while optimizing each cell to reach close to the theoretical performance limit. W…
Topology-Agnostic Graph U-Nets for Scalar Field Prediction on Unstructured Meshes
Kevin Ferguson, Yu-hsuan Chen, Yiming Chen +3
Machine-learned surrogate models to accelerate lengthy computer simulations are becoming increasingly important as engineers look to streamline the product design cycle. In many ca…
Scalar Field Prediction on Meshes Using Interpolated Multi-Resolution Convolutional Neural Networks
Kevin Ferguson, Andrew Gillman, James Hardin +1
Scalar fields, such as stress or temperature fields, are often calculated in shape optimization and design problems in engineering. For complex problems where shapes have varying t…