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Christoph Schran — most-cited papers & profile · AI for Science
← authors
·
overview
Christoph Schran
14
papers ·
321
citations
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Most-cited papers
A foundation model for atomistic materials chemistry
2024 · 246 citations
Infrared spectra at coupled cluster accuracy from neural network representations
2022 · 37 citations
Introduction to machine learning potentials for atomistic simulations
2024 · 25 citations
Understanding the anomalously low dielectric constant of confined water: an ab initio study
2022 · 6 citations
Crumbling Crystals: On the Dissolution Mechanism of NaCl in Water
2022 · 4 citations
PLUMED Tutorials: a collaborative, community-driven learning ecosystem
2024 · 2 citations
False Metallization in Short-Ranged Machine Learned Interatomic Potentials
2026 · 1 citations
From Accurate Quantum Chemistry to Converged Thermodynamics for Ion Pairing in Solution
2026
Cutting Through the Noise: On-the-fly Outlier Detection for Robust Training of Machine Learning Interatomic Potentials
2026
Breaking the Air-Water Paradigm: Ion Behavior at Hydrophobic Solid-Water Interfaces
2025
Clay Edges Are Dynamic Proton-conducting Networks Modulated by Structure and pH
2025
CO2 Hydration at the Air-Water Interface: A Surface-Mediated 'In and Out' Mechanism
2025
The Wetting of H$_2$O by CO$_2$
2024
Neural Network Interaction Potentials for para-Hydrogen with Flexible Molecules
2022
Top co-authors
Angelos Michaelides
· 8
Venkat Kapil
· 4
Niamh O'Neill
· 3
Samuel G. H. Brookes
· 3
Xavier R. Advincula
· 3
Blake I. Armstrong
· 2
Fabien Brieuc
· 2
Julian D. Gale
· 2
Kara D. Fong
· 2
Niamh O'Neill
· 2
Paolo Raiteri
· 2
William C. Witt
· 2
Topics
Chemistry
Materials
Physics ML
Climate & Weather