activity
20242026
most citedBEAST DB: Grand-Canonical Database of Electrocatalyst Properties

2 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2026

Enabling large language model agents for high-fidelity many-body perturbation theory calculations

Benran Zhang, Byeongchan Lee, Zien Zhu +6

Many-body perturbation theory (MBPT) methods, including the GW approximation, the GW plus Bethe-Salpeter equation (GW-BSE) method, and GW perturbation theory (GWPT), among others,…

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…

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 cal…

cs.DC2024

Flexible Multi-Dimensional FFTs for Plane Wave Density Functional Theory Codes

Doru Thom Popovici, Mauro del Ben, Osni Marques +1

Multi-dimensional Fourier transforms are key mathematical building blocks that appear in a wide range of applications from materials science, physics, chemistry and even machine le…

cond-mat.mtrl-sci2024

Static Subspace Approximation for Random Phase Approximation Correlation Energies: Implementation and Performance

Daniel Weinberg, Olivia A. Hull, Jacob M. Clary +3

Developing theoretical understanding of complex reactions and processes at interfaces requires using methods that go beyond semilocal density functional theory to accurately descri…

cond-mat.mtrl-sci2024★ 2 cited

BEAST DB: Grand-Canonical Database of Electrocatalyst Properties

Cooper Tezak, Jacob Clary, Sophie Gerits +12

We present BEAST DB, an open-source database comprised of ab initio electrochemical data computed using grand-canonical density functional theory in implicit solvent at consistent…

cs.DC2024

Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality

Adrian Perez Dieguez, Min Choi, Mahmut Okyay +3

Tuning searches are pivotal in High-Performance Computing (HPC), addressing complex optimization challenges in computational applications. The complexity arises not only from finel…