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Co4ICF: Co-evolving Physics-Informed Surrogate and RL-based Pulse Optimizer for

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14 Jul
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20 Mar
AI4S-SDS: A Neuro-Symbolic Solvent Design System via Sparse MCTS and Differentiable Physics Alignment

arXiv:2603.03686v2 Announce Type: replace Abstract: Automated design of chemical formulations is a cornerstone of materials science, yet it requires navigating a high-dimensional

REPORT · HOW · ArXiv CS.AIOPEN STORY
5 Oct
Reinforcement Learning Techniques for the Optimization of Target Polarization in Nuclear Physics Scattering Experiments

arXiv:2610.02452v1 Announce Type: new Abstract: The operation of dynamically polarized targets in nuclear physics experiments relies on continuous tuning of the microwave

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
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
1 May
Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks

arXiv:2604.26999v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) approximate solutions of partial differential equations (PDEs) by embedding physical laws

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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