activity
20052026
most citedDensity-based mixing parameter for hybrid functionals

407 citations · 2.7k across the 50 of their papers we have counts for

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39 papers · 1 filter

cond-mat.mtrl-sci2023★ 7 cited

Determination of acoustic phonon anharmonicities via second-order Raman scattering in CuI

Ron Hildebrandt, Michael Seifert, Janine George +5

We demonstrate the determination of anharmonic acoustic phonon properties via second-order Raman scattering exemplarily on copper iodide single crystals. The origin of multi-phonon…

cond-mat.mtrl-sci2023★ 1 cited

Transfer learning on large datasets for the accurate prediction of material properties

Noah Hoffmann, Jonathan Schmidt, Silvana Botti +1

Graph neural networks trained on large crystal structure databases are extremely effective in replacing ab initio calculations in the discovery and characterization of materials. H…

cond-mat.mtrl-sci2023

First-principles insight in structure-property relationships of hexagonal Si and Ge polytypes

Martin Keller, Abderrezak Belabbes, Jürgen Furthmüller +2

Hexagonal SiGe is a promising material for combining electronic and photonic technologies. In this work, the energetic, structural, elastic and electronic properties of the hexagon…

cond-mat.mtrl-sci2022

Effects of hole doping on the electronic and optical properties of transparent conducting copper iodide

Michael Seifert, Miguel A. L. Marques, Silvana Botti

Zincblende copper iodide has been attracting growing interest as p-type semiconductor for applications in transparent electronics and transparent thermoelectrics. A key step toward…

cond-mat.mtrl-sci2022★ 1 cited

Favorable band alignment for photocatalysis at the strontium germanate interface with silicon

Tomáš Rauch, Pavel Marton, Silvana Botti +1

Photocatalytic water splitting is a promising strategy for large-scale clean energy production. However, efficient and low-cost solid-state photocatalysts are still lacking. We pre…

cond-mat.mtrl-sci2022★ 8 cited

Large-scale machine-learning-assisted exploration of the whole materials space

Jonathan Schmidt, Noah Hoffmann, Hai-Chen Wang +5

Crystal-graph attention networks have emerged recently as remarkable tools for the prediction of thermodynamic stability and materials properties from unrelaxed crystal structures.…