MATH Seminar - Intersection theory of the moduli space of abelian fourfolds

[ICTP Math Section]

*MATH Seminar *

*Date and Venue*: Thursday, 10 September - ICTP Leonardo Building, Luigi 
Stasi Seminar Room

*Speaker: *Wenqi FANG (Shenzhen Institutes of Advanced Technology, 
Chinese Academy of Sciences)

*Title:* Identifying Conserved Quantities and Phase Transitions in 
Physical Systems via Deep Learning

*Abstract:*
Deep learning offers new ways to uncover hidden structure and emergent 
phenomena in physical systems directly from data. In this talk, I will 
present our three recent studies on using deep learning to identify 
conserved quantities, detect critical transitions, and discover 
potential superconducting materials. First, I will revisit 
neural-network approaches for discovering constants of motion and 
discuss a more efficient strategy for extracting conserved quantities 
from dynamical data. I will then introduce a noise-robust contrastive 
learning framework for detecting critical transitions in stochastic 
dynamical systems. Finally, I will show how deep learning can extract 
physically meaningful features from electronic band structures to 
facilitate the search for superconductors. Together, these works 
demonstrate how deep learning can move beyond prediction toward 
discovering physical laws, identifying phase transitions, and 
accelerating materials discovery.

All are welcome to join.

https://indico.ictp.it/event/11505/

-- 
Secretariat of the ICTP Math Section

Abdus Salam International Centre for Theoretical Physics
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