6 citations · 8 across the 4 of their papers we have counts for
4 papers
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics
Brian R. Bartoldson, Yeping Hu, Amar Saini +6
Data-driven modeling approaches can produce fast surrogates to study large-scale physics problems. Among them, graph neural networks (GNNs) that operate on mesh-based data are desi…
Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering
Tavish McDonald, Brian Tsan, Amar Saini +5
Researchers produce thousands of scholarly documents containing valuable technical knowledge. The community faces the laborious task of reading these documents to identify, extract…
Latent Space Simulation for Carbon Capture Design Optimization
Brian Bartoldson, Rui Wang, Yucheng Fu +5
The CO2 capture efficiency in solvent-based carbon capture systems (CCSs) critically depends on the gas-solvent interfacial area (IA), making maximization of IA a foundational chal…
Attend and Decode: 4D fMRI Task State Decoding Using Attention Models
Sam Nguyen, Brenda Ng, Alan D. Kaplan +1
Functional magnetic resonance imaging (fMRI) is a neuroimaging modality that captures the blood oxygen level in a subject's brain while the subject either rests or performs a varie…