2 papers
cond-mat.mtrl-sci2025
Characterizing Defect Dynamics in Silicon Carbide Using Symmetry-Adapted Collective Variables and Machine Learning Interatomic Potentials
Soumajit Dutta, Cunzhi Zhang, Gustavo Perez Lemus +4
Silicon carbide (SiC) divacancies are attractive candidates for spin defect qubits possessing long coherence times and optical addressability. The high activation barriers associat…
physics.comp-ph2025
Power law attention biases for molecular transformers
Jay Shen, Yifeng Tang, Andrew Ferguson
Transformers are the go-to architecture for most data modalities due to their scalability. While they have been applied extensively to molecular property prediction, they do not do…