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Physics-Knowledge-Guided Hybrid Neural Learning for Arctic Sea Ice Concentration

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1 SIGNALFIRST DETECTED 25 August 2026
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25 Aug
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30 Mar
Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations

arXiv:2603.25779v1 Announce Type: cross Abstract: Groundwater represents a key element of the water cycle, yet it exhibits intricate and context-dependent relationships that make

REPORT · WHAT · ArXiv CS.AIOPEN STORY
7 May
A Physics-Aware Framework for Short-Term GPU Power Forecasting of AI Data Centers

arXiv:2605.04074v1 Announce Type: cross Abstract: AI data centers experience rapid fluctuations in power demand due to the heterogeneity of computational tasks that they have to

REPORT · WHAT · ArXiv CS.AIOPEN STORY
26 Mar
Sparsely-Supervised Data Assimilation via Physics-Informed Schr\"odinger Bridge

arXiv:2603.22319v1 Announce Type: cross Abstract: Data assimilation (DA) for systems governed by partial differential equations (PDE) aims to reconstruct full spatiotemporal

REPORT · HOW · ArXiv CS.AIOPEN STORY
26 Mar
UniFluids: Unified Neural Operator Learning with Conditional Flow-matching

arXiv:2603.22309v1 Announce Type: cross Abstract: Partial differential equation (PDE) simulation holds extensive significance in scientific research. Currently, the integration of

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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