Collaborative Research: Unified Neural Operator (UNO): Towards Trustworthy Operator Learning for Scientific Applications
DMS / CISE — Computational & Data-Enabled Science (CDS&E) · PI Varun Shankar; Co-PI Akil Narayan
Funding
Active research support
The lab's work is supported by 6 active awards from NSF, DOE, AFOSR, AFRL, and Sandia. We gratefully acknowledge our sponsors.
NSFDOEAFOSRAFRLSandia
Operator Learning & Surrogate Modeling
The research →
AFOSR
PI
FA9550-25-1-0042
Property-preserving and multiscale operator learning for surrogate modeling
Laboratory Research Initiation Request (LRIR)
Sandia
Co-PI
Scalable operator learning and surrogate modeling
Laboratory Directed Research & Development (LDRD)
Trustworthy, Property-Preserving SciML
The research →Collaborative Research: CS2: On-Demand Semantic Analysis via Program Synthesis
CS2 — Correctness for Scientific Computing Systems (joint NSF/DOE) · PI Ben Greenman; Co-PIs John Regehr, Varun Shankar
Collaborative Research: SHF: Medium: SCIOPT: Toward Certifiable Compression-Aware SciML Systems
CISE/CCF — Software & Hardware Foundations (SHF: Medium) · PI Ganesh Gopalakrishnan; Co-PIs Mary Hall, Varun Shankar
Digital Twins for Engineering & Biology
The research →
AFRL
PI
Numerical methods and scientific machine learning for composite materials and structures
Air Force Research Laboratory (subcontracts via UES and ARCTOS)
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Past support
- 2022 – 2024AFRL · AFRL / NIAR collaborative project (Co-PI)
- 2017 – 2022NSF · AF: Small: Collaborative Research: Scalable, high-order mesh-free algorithms applied to bulk-surface biomechanical problems (Utah PI)
- 2015 – 2019NSF · The Best of Both: Toward a hybrid discrete and continuum multiscale platelet aggregation and coagulation model (Co-PI)