output
20172026
most citedPhysics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty

63 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2025Show all

4 papers · 1 filter

physics.soc-ph2025★ 1 cited

Bidirectional yet asymmetric causality between urban systems and traffic dynamics in 30 cities worldwide

Yatao Zhang, Ye Hong, Song Gao +1

Understanding how urban systems and traffic dynamics co-evolve is crucial for advancing sustainable and resilient cities. However, their bidirectional causal relationships remain u…

eess.SY2025★ 10 cited

Quantifying the Value of Seismic Structural Health Monitoring for post-earthquake recovery of electric power system in terms of resilience enhancement

Huangbin Liang, Beatriz Moya, Francisco Chinesta +1

Post-earthquake recovery of electric power networks (EPNs) is critical to community resilience. Traditional recovery processes often rely on prolonged and imprecise manual inspecti…

eess.SY2025★ 5 cited

A Multi-Model Probabilistic Framework for Seismic Risk Assessment and Retrofit Planning of Electric Power Networks

Huangbin Liang, Beatriz Moya, Francisco Chinesta +1

Electric power networks are critical lifelines, and their disruption during earthquakes can lead to severe cascading failures and significantly hinder post-disaster recovery. Enhan…

cs.CE2025★ 7 cited

Modal Decomposition and Identification for a Population of Structures Using Physics-Informed Graph Neural Networks and Transformers

Xudong Jian, Kiran Bacsa, Gregory Duthé +1

Modal identification is crucial for structural health monitoring and structural control, providing critical insights into structural dynamics and performance. This study presents a…