Holm, Christian
- A foundation model for atomistic materials chemistry
2023/12/29 by Ilyes Batatia, Philipp Benner, Batatia, Ilyes +182 · 5 voices · 169 citations
Materials Science · Decision Sciences · #physics.chem-ph #cond-mat.mtrl-sci
- Training robust and generalizable quantum models
2023/11/20 by Julian Berberich, Berberich, Julian, Daniel Fink +7 · 4 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Statistical Mechanics and Entropy
- Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials
2025/05/28 by Schäfer, Moritz René, Segreto, Nico, Zills, Fabian +2 · 5 citations
#Chemical Physics (physics.chem-ph) #FOS: Physical sciences
- Emergence of Accurate Atomic Energies from Machine Learned Noble Gas Potentials
2024/03/01 by Uhlig, Frank, Tovey, Samuel, Holm, Christian · 1 citation
#Computational Physics (physics.comp-ph) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Soft Condensed Matter (cond-mat.soft)
- Generating Minimal Training Sets for Machine Learned Potentials
2023/09/07 by Finkbeiner, Jan, Tovey, Samuel, Holm, Christian · 1 citation
#Computational Physics (physics.comp-ph) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
- Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning
2025/04/16 by Fellner, Tobias, Kreplin, David, Tovey, Samuel +1 · 4 citations
#FOS: Physical sciences #Quantum Physics (quant-ph)
- SiMGen example molecules
2024/01/01 by Rokas Elijošius, Fabian Zills, Elijošius, Rokas +11 · 1 citation
Biochemistry, Genetics and Molecular Biology · Pharmacology, Toxicology and Pharmaceutics · #Spectroscopy Techniques in Biomedical and Chemical Research #Chemical Reactions and Isotopes
- Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning
2024/04/02 by Samuel Tovey, Tovey, Samuel, Christoph Lohrmann +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Mathematics · #Biological Physics (physics.bio-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Mathematical Biology Tumor Growth #Multiagent Systems (cs.MA)