2 papers
cond-mat.stat-mech2025
Deep learning of phase transitions with minimal examples
Ahmed Abuali, David A. Clarke, Morten Hjorth-Jensen +3
Over the past several years, there have been many studies demonstrating the ability of deep neural networks to identify phase transitions in many physical systems, notably in class…
cs.CV2023
CryoAlign: feature-based method for global and local 3D alignment of EM density maps
Bintao He, Fa Zhang, Chenjie Feng +3
Advances on cryo-electron imaging technologies have led to a rapidly increasing number of density maps. Alignment and comparison of density maps play a crucial role in interpreting…