5 papers
FUCrIMODo: structure recovery from atomistic descriptors via multi-stage genetic algorithms
Louis Boehm, Martin Kuban, Claudia Draxl
Data-driven approaches to materials discovery rely on numerical representations of atomic structures as input for machine learning models. Inverting these descriptors - recovering…
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Aritra Roy, Kevin Shen, Andrew MacBride +350
Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…
An exciting approach to theoretical spectroscopy
Martà Raya-Moreno, Alexander Buccheri, Noah Alexy Dasch +27
Theoretical spectroscopy, and more generally, electronic-structure theory, are powerful concepts for describing the complex many-body interactions in materials. They comprise a var…
Impact of electron-phonon interaction on the electronic structure of interfaces between organic molecules and a MoS monolayer
Ignacio Gonzalez Oliva, Sebastian Tillack, Fabio Caruso +2
By means of first-principles calculations, we investigate the role of electron-phonon interaction in the electronic structure of hybrid interfaces, formed by MoS and monolayers…
Automatic Generation of Maximally Localized Wannier Functions via Optimized Projection Functions and Self-projections
Sebastian Tillack, Claudia Draxl
We present an automatized approach towards maximally localized Wannier functions (MLWFs) applicable to both occupied and unoccupied states. We overcome limitations of the standard…