activity
20232025
most citedScalar Field Prediction on Meshes Using Interpolated Multi-Resolution Convolutional Neural Networks

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

FLARE: Fast Low-rank Attention Routing Engine

Vedant Puri, Aditya Joglekar, Sri Datta Ganesh Bandreddi +4

The quadratic complexity of self-attention limits the scalability of transformers on long sequences. We introduce Fast Low-rank Attention Routing Engine (FLARE), a token-mixing ope…

cs.LG2025

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…

cs.LG2024

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…

cs.LG2024★ 6 cited

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…

physics.app-ph2023★ 1 cited

Inference of highly time-resolved melt pool visual characteristics and spatially-dependent lack-of-fusion defects in laser powder bed fusion using acoustic and thermal emission data

Haolin Liu, Christian Gobert, Kevin Ferguson +5

With a growing demand for high-quality fabrication, the interest in real-time process and defect monitoring of laser powder bed fusion (LPBF) has increased, leading manufacturers t…