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cs.LG2025
Learning-at-Criticality in Large Language Models for Quantum Field Theory and Beyond
Xiansheng Cai, Sihan Hu, Tao Wang +4
Fundamental physics often confronts complex symbolic problems with few guiding exemplars or established principles. While artificial intelligence (AI) offers promise, its typical n…
cs.LG2025
Rapid morphology characterization of two-dimensional TMDs and lateral heterostructures based on deep learning
Junqi He, Yujie Zhang, Jialu Wang +6
Two-dimensional (2D) materials and heterostructures exhibit unique physical properties, necessitating efficient and accurate characterization methods. Leveraging advancements in ar…