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Jonas H\"anseroth — most-cited papers & profile · AI for Science
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Jonas H\"anseroth
5
papers ·
5
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Modelling complex proton transport phenomena -- Exploring the limits of fine-tuning and transferability of foundational machine-learned force fields
2025 · 2 citations
High-throughput screening and mechanistic insights into solid acid proton conductors
2026 · 1 citations
Fine-Tuning Unifies Foundational Machine-learned Interatomic Potential Architectures at ab initio Accuracy
2025 · 1 citations
Optimizing Machine Learning Potentials for Hydroxide Transport: Surprising Efficiency of Single-Concentration Training
2025 · 1 citations
Revealing Hydroxide Ion Transport Mechanisms in Commercial Anion-Exchange Membranes at Nano-Scale from Machine-learned Interatomic Potential Simulations
2026
Top co-authors
Christian Dre{\ss}ler
· 5
Aaron Fl\"ototto
· 2
Erich Runge
· 2
Malte Grunert
· 2
Max Gro{\ss}mann
· 2
Johannes Laurenz Wolf
· 1
Jules Oumard
· 1
Karl Skadell
· 1
Mostafa Moradi
· 1
Muhammad Nawaz Qaisrani
· 1
Muhammad Nawaz Qaisrani
· 1
Topics
Materials
Chemistry
Physics ML