85 citations · 202 across the 44 of their papers we have counts for
5 papers · 1 filter
Physics-Informed Transformation Toward Improving the Machine-Learned NLTE Models of ICF Simulations
Min Sang Cho, Paul E. Grabowski, Kowshik Thopalli +11
The integration of machine learning techniques into Inertial Confinement Fusion (ICF) simulations has emerged as a powerful approach for enhancing computational efficiency. By repl…
HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications
Zane Fink, Konstantinos Parasyris, Praneet Rathi +3
Recent advancements in Machine Learning (ML) have substantially improved its predictive and computational abilities, offering promising opportunities for surrogate modeling in scie…
Bimodal Visualization of Industrial X-Ray and Neutron Computed Tomography Data
Xuan Huang, Haichao Miao, Hyojin Kim +5
Advanced manufacturing creates increasingly complex objects with material compositions that are often difficult to characterize by a single modality. Our collaborating domain scien…
Enabling Additive Manufacturing Part Inspection of Digital Twins via Collaborative Virtual Reality
Vuthea Chheang, Saurabh Narain, Garrett Hooten +6
Digital twins (DTs) are an emerging capability in additive manufacturing (AM), set to revolutionize design optimization, inspection, in situ monitoring, and root cause analysis. AM…
A Virtual Environment for Collaborative Inspection in Additive Manufacturing
Vuthea Chheang, Brian Thomas Weston, Robert William Cerda +4
Additive manufacturing (AM) techniques have been used to enhance the design and fabrication of complex components for various applications in the medical, aerospace, energy, and co…