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cs.LG2026
From Sparse Sensors to Continuous Fields: STRIDE for Spatiotemporal Reconstruction
Yanjie Tong, Peng Chen
Reconstructing high-dimensional spatiotemporal fields from sparse point-sensor measurements is a central challenge in learning parametric PDE dynamics. Existing approaches often st…
cs.LG2025
PolyMicros: Bootstrapping a Foundation Model for Polycrystalline Material Structure
Michael Buzzy, Andreas Robertson, Peng Chen +1
Recent advances in Foundation Models for Materials Science are poised to revolutionize the discovery, manufacture, and design of novel materials with tailored properties and respon…
cs.LG2024
Derivative-enhanced Deep Operator Network
Yuan Qiu, Nolan Bridges, Peng Chen
The deep operator networks (DeepONet), a class of neural operators that learn mappings between function spaces, have recently been developed as surrogate models for parametric part…