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Papers matching “iterated learning” 15

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Datasets for manuscript "Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning"
2025 Zenodo (CERN European Organization for Nuclear Research) dataset Materials Science Machine Learning in Materials Science Open access

Zhikun Zhang

1

citations
Datasets for manuscript "Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning"
2025 Zenodo (CERN European Organization for Nuclear Research) dataset Materials Science Machine Learning in Materials Science Open access

Zhikun Zhang

1

citations
Summit: Benchmarking Machine Learning Methods for Reaction Optimisation
2021 Chemistry - Methods article Materials Science Machine Learning in Materials Science Open access cited by 1 patent

Kobi Felton, Jan G. Rittig, Alexei A. Lapkin

92

citations
Summit: Benchmarking Machine Learning Methods for Reaction Optimisation
2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Kobi Felton, Jan G. Rittig, Alexei A. Lapkin

17

citations
Summit: Benchmarking Machine Learning Methods for Reaction Optimisation
2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Kobi Felton, Jan G. Rittig, Alexei A. Lapkin

4

citations
Summit: Benchmarking Machine Learning Methods for Reaction Optimisation
2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Kobi Felton, Jan G. Rittig, Alexei A. Lapkin

4

citations
Data-Efficient Characterization of Battery Slurry Viscosity using Uncertainty-Based Active Learning with Neural Networks
2025 conference-paper Materials Science Machine Learning in Materials Science

Rui Yan Li, Christian Wittke, Robert Ludwigs, Paul Lingohr, Heiner Heimes, Oliver Niggemann, +1 more

0

citations
Deep-learning map segmentation for protein X-ray crystallographic structure determination
2024 Acta Crystallographica Section D Structural Biology article Materials Science Enzyme Structure and Function Open access

Pavol Skubák

0

citations
Exploring chemistry and catalysis by biasing skewed distributions via deep learning
2026 Nature Communications article Materials Science Machine Learning in Materials Science Open access

Zhikun Zhang, GiovanniMaria Piccini

4

citations
Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Zhikun Zhang, GiovanniMaria Piccini

1

citations
Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Zhikun Zhang, GiovanniMaria Piccini

0

citations
Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Zhikun Zhang, GiovanniMaria Piccini

0

citations
Grain segmentation in atomistic simulations using orientation-based iterative self-organizing data analysis
2022 Materialia article Materials Science Microstructure and mechanical properties Open access

M. Vimal, Stefan Sandfeld, Aruna Prakash

16

citations
Modellierungsansatz zur Vorhersage der mechanischen und rheologischen Eigenschaften von Polypropylen-Compounds
2025 RWTH Publications (RWTH Aachen) dissertation Materials Science Machine Learning in Materials Science Open access

0

citations
Best-in-class modeling: A novel strategy to discover constitutive models for soft matter systems
2024 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access

Kevin Linka, Ellen Kuhl

0

citations

15 results