activity
20212026
most citedLu-H-N phase diagram from first-principles calculations

48 citations · 300 across the 20 of their papers we have counts for

collaborators
Showing 2026Show all

9 papers · 1 filter

cond-mat.mtrl-sci2026

The Roadmap of Inorganic Computational Materials Databases: Capabilities, Credibility, Coverage, and the Open Frontier

Miao Liu, Jianghao Jin, Tenglong Lu +4

Computational materials databases have become central infrastructure for data-driven discovery of inorganic materials, yet their growth remains strikingly uneven across property fa…

cond-mat.str-el2026

Vestigial chirality from fluctuating loop currents on the kagome lattice

Yin Shi, Xuande Bu, Sheng Meng

Multicomponent order can melt in stages, leaving a composite order after its primary constituents become short ranged. We study this possibility for commensurate three- loop-cur…

cond-mat.mtrl-sci2026

Accelerating dynamic simulations of photoexcited materials and their evolution by electron-informed machine learning

Yunzhe Jia, Fankai Xie, Yunfei Bai +3

Nonadiabatic coupled electron-nuclear dynamics upon electronic excitation underpin the microscopic mechanism and rational modulation of diverse photoinduced functional phenomena in…

cond-mat.mtrl-sci2026

Aligning Heterogeneous DFT Datasets: A Graph Neural Network Approach to Cross-Functional Formation Energies

Yidong Huang, Tenglong Lu, Hanwen Kang +3

Heterogeneous density functional theory (DFT) calculations, particularly plane-wave implementations, introduce systematic formation energy errors ranging from tens to hundreds of m…

physics.chem-ph2026

Graph Neural Network Force Fields (GPTFF-mol) for Organic Molecules from Optimization Trajectories (OpenGEM26)

Yifan Huang, Fankai Xie, Jiangnan Zheng +3

Density functional theory (DFT) serves as a reliable tool for atomistic molecular simulations, while machine learning potentials have become powerful complements to balance accurac…

cond-mat.supr-con2026

Collective phase modes in twisted -wave superconducting bilayers

Yin Shi, Mengxian Zhao, Fei Yang +2

Twisted cuprate bilayers have been predicted to host high-temperature chiral superconductivity, originating from higher-order Josephson coupling processes. In such two-dime…

cond-mat.supr-con2026

Quench of chiral superconductivity by quantum phase fluctuations in twisted cuprate bilayers

Yin Shi, Mengxian Zhao, Fei Yang +2

Following theoretical proposals of chiral superconductivity in twisted cuprate bilayers, experimental signatures of time-reversal symmetry breaking (TRSB) remain highly con…

cond-mat.mtrl-sci2026

Are Machine Learning Interatomic Potentials Truly Practical? A Benchmark of 23 Mainstream Models

Hanwen Kang, Tenglong Lu, Sheng Meng +1

Most MLIP benchmarks reward static accuracy while ignoring inference efficiency and hardware scalability -- driving model bloat with unclear real-world value. We benchmark 23 mains…

cond-mat.supr-con2026

Tracking unconventional superconductivity in the presence of strongly correlated Fermi arcs

Xianliang Zhou, Fei Yang, Miao Liu +2

One of the primary reasons that superconductivity in underdoped cuprates is enigmatic is that it emerges from an incoherent Fermi-arc state, so the applicability of the Bardeen-Coo…