activity
20242026
collaborators

6 papers

cond-mat.mtrl-sci2026

Ab initio time-dependent GW approach for nonequilibrium exciton-phonon coupled dynamics across momentum space

Zhenfa Zheng, Benran Zhang, Jiawei Ruan +10

The dynamics of optical excitations in materials generally involves intertwined electron-hole (e-h) and electron-phonon (e-ph) interactions out of equilibrium. However, a full theo…

cs.AI2026

Agents' Last Exam

Yiyou Sun, Xinyang Han, Weichen Zhang +306

Recent AI systems have achieved strong results on a wide range of benchmarks, yet these gains have not translated into economically meaningful deployment across many professional d…

cond-mat.mtrl-sci2025

Many-Body Correlation Effects in Fröhlich Electron-Phonon Coupling

Zien Zhu, Chih-En Hsu, Benran Zhang +5

In compound semiconductors and insulators, the polar electron-phonon coupling diverges at long range, known as the Fröhlich interaction. Modern first-principles electron-phonon ca…

cond-mat.mtrl-sci2025

Advancing Quantum Many-Body GW Calculations on Exascale Supercomputing Platforms

Benran Zhang, Daniel Weinberg, Chih-En Hsu +9

Advanced ab initio materials simulations face growing challenges as increasing systems and phenomena complexity requires higher accuracy, driving up computational demands. Quantum…

cond-mat.mtrl-sci2025

Moiré excitons in generalized Wigner crystals

Jing-Yang You, Chih-En Hsu, Zien Zhu +8

Moiré superlattices of transition-metal dichalcogenide bilayers host strong Coulomb interactions residing in narrow electron bands, leading to correlated insulating states at frac…

cs.AI2024

Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic

Thomy Phan, Benran Zhang, Shao-Hung Chan +1

Anytime multi-agent path finding (MAPF) is a promising approach to scalable path optimization in multi-agent systems. MAPF-LNS, based on Large Neighborhood Search (LNS), is the cur…