Real-time monitoring of safety-critical interior states remains an open problem across energy, environmental, and industrial systems where direct instrumentation is infeasible. Existing approaches based on governing equations, discrete state vectors, or fixed sensor locations fail to provide mesh-independent, field-l...
Kazuma Kobayashi, Farid Ahmed, Jaewan Park et al.· Nature Communications· 0 citations
Scientific foundation models are commonly evaluated after heterogeneous physical problems have already been translated into a compatible gridded, tokenized or symbolic representation. This leaves the scientific interface outside both the pretrained model and the audit of what is actually reused. We study the complement...
Samrendra Roy, Tapas Tripura, Yoonpyo Lee et al.· 0 citations
These results connect operator structure to operating energy and show how update frequency and execution lifetime govern the benefit of computation reuse in physical-field virtual sensing.
Jason Yoo, Samrendra Roy, Souvik Chakraborty et al.· 0 citations
Accurate reconstruction of latent environmental fields from sparse, indirect observations is a fundamental challenge across scientific domains, from atmospheric science and geophysics to public health and aerospace safety. Existing approaches typically rely on physics-based simulations or dense sensor networks; however...
Kazuma Kobayashi, Samrendra Roy, S. Koric et al.· arXiv.org· 7 citations
The Sparse-Activation-ReLU (SAR) layer is proposed, a single-step alternative that promotes activation sparsity without surrogate-gradient training while remaining compatible with event-based computing and is a step towards energy-efficient virtual sensing.
William Howes, Farid Ahmed, S. Alam· 1 citation
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