2 papers
cond-mat.mtrl-sci2026
Identification and Structural Characterization of Twisted Atomically Thin Bilayer Materials by Deep Learning
Haitao Yang, Ruiqi Hu, Heng Wu +11
Two-dimensional materials are expected to play an important role in next-generation electronics and optoelectronic devices. Recently, twisted bilayer graphene and transition metal…
physics.ed-ph2026
Building an Affordable Self-Driving Lab: Practical Machine Learning Experiments for Physics Education Using Internet-of-Things
Yang Liu, Qianjie Lei, Xiaolong He +9
Machine learning (ML) is transforming modern physics research, but practical, hands-on experience with ML techniques remains limited due to cost and complexity barriers. To address…