activity
20032025
most citedDScribe: Library of Descriptors for Machine Learning in Materials Science

857 citations · 8.6k across the 83 of their papers we have counts for

collaborators

83 papers

cond-mat.mtrl-sci2025★ 8 cited

Roadmap on Advancements of the FHI-aims Software Package

Joseph W. Abbott, Carlos Mera Acosta, Alaa Akkoush +203

Electronic-structure theory is the foundation of the description of materials including multiscale modeling of their properties and functions. Obviously, without sufficient accurac…

cond-mat.mtrl-sci2023★ 15 cited

Screening Mixed-Metal SnM(III)ChX Chalcohalides for Photovoltaic Applications

Pascal Henkel, Jingrui Li, G. Krishnamurthy Grandhi +2

Quaternary mixed-metal chalcohalides (SnBChX) are emerging as promising lead-free perovskite-inspired photovoltaic absorbers. Motivated by recent developments of a firs…

cond-mat.mtrl-sci2023★ 99 cited

Updates to the DScribe Library: New Descriptors and Derivatives

Jarno Laakso, Lauri Himanen, Henrietta Homm +4

We present an update of the DScribe package, a Python library for atomistic descriptors. The update extends DScribe's descriptor selection with the Valle-Oganov materials fingerpri…

cond-mat.mtrl-sci2023★ 1 cited

Structural disorder by octahedral tilting in inorganic halide perovskites: New insight with Bayesian optimization

Jingrui Li, Fang Pan, Guo-Xu Zhang +8

Structural disorder is common in metal-halide perovskites and important for understanding the functional properties of these materials. First-principles methods can address structu…

cond-mat.mes-hall2023

Single-atom dopants in plasmonic nanocatalysts

Daniel Sorvisto, Patrick Rinke, Tuomas P. Rossi

Bimetallic nanostructures combining plasmonic and catalytic metals are promising for tailoring and enhancing plasmonic hot-carrier generation utilized in plasmonic catalysis. In th…

physics.chem-ph2022

Benchmark of Methods for Core-Level Binding Energies

Jiachen Li, Ye Jin, Patrick Rinke +2

The approximation has recently gained increasing attention as a viable method for the computation of deep core-level binding energies as measured by X-ray photoelectron spectr…