Jonathan Schmidt
Halle, NI 06099, Germany
Last Updated: 09/26/2026
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Found 10 publications
Journal research data policies in materials science.
Journal: Digital discovery
Published: March 11, 2026
Machine Learning-Enabled Ab Initio Study of the Isotope Effect in SrTi^{18}O_{3}.
Journal: Physical review letters
Published: September 26, 2025
A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation.
Journal: NPJ climate and atmospheric science
Published: February 19, 2025
Atomate2: modular workflows for materials science.
Journal: Digital discovery
Published: January 17, 2025
Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange.
Journal: Digital discovery
Published: February 02, 2024
Machine-Learning-Assisted Determination of the Global Zero-Temperature Phase Diagram of Materials.
Journal: Advanced materials (Deerfield Beach, Fla.)
Published: November 20, 2022
Crystal graph attention networks for the prediction of stable materials.
Journal: Science advances
Published: December 03, 2021
A dataset of 175k stable and metastable materials calculated with the PBEsol and SCAN functionals.
Journal: Scientific data
Published: April 16, 2021
Machine Learning the Physical Nonlocal Exchange-Correlation Functional of Density-Functional Theory.
Machine Learning the Physical Nonlocal Exchange-Correlation Functional of Density-Functional Theory.
Journal: The journal of physical chemistry letters
Published: October 10, 2019
Predicting the stability of ternary intermetallics with density functional theory and machine learning.
Journal: The Journal of chemical physics
Published: July 02, 2018
Showing 1-10 of 10
Last Updated: 09/26/2026