large language models 2all-in-one restoration 1ambiguity rectification 1boronization 1deep learning 1degradation modeling 1density window 1edge plasma recycling 1evaluation benchmark 1favorable configuration 1image restoration 1i-mode confinement 1
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cond-mat.mtrl-sci2026
Comparative study of ensemble-based uncertainty quantification methods for neural network interatomic potentials
Yonatan Kurniawan, Mingjian Wen, Ellad B. Tadmor +1
Machine learning interatomic potentials (MLIPs) enable atomistic simulations with near first-principles accuracy at substantially reduced computational cost, making them powerful t…
cond-mat.mtrl-sci2026
Scalable Solar-Blind Imaging Enabled by Single-Crystalline Beta-Ga2O3 Membranes on Silicon Backplanes
Xiang Xu, Hong Huang, Qi Huang +14
Ultrawide-bandgap semiconductors are attractive for solar-blind ultraviolet (UV) detection owing to their intrinsically low noise and high spectral selectivity, yet their deploymen…