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Moritz Schäfer

5PUBLICATIONS
6CO-AUTHORS
Semi- and unsupervised learningDeep learningProcedural content generationTheory and design of materials
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Journal

Publications (5)

Sort by Publication Date:
|May 08, 2026
How to Train a Shallow Ensemble.

|Feb 02, 2026
Enhanced Representation-Based Sampling for the Efficient Generation of Data Sets for Machine-Learned Interatomic Potentials.

Moritz R Schäfer, Johannes Kästner

|Jul 30, 2025
Apax: A Flexible and Performant Framework for the Development of Machine-Learned Interatomic Potentials.

Moritz R Schäfer, Nico Segreto, Fabian Zills

|Jul 26, 2024
Machine learning-driven investigation of the structure and dynamics of the BMIM-BF<sub>4</sub> room temperature ionic liquid.

Fabian Zills, Moritz René Schäfer, Samuel Tovey

|Apr 03, 2024
Collaboration on Machine-Learned Potentials with IPSuite: A Modular Framework for Learning-on-the-Fly.

Fabian Zills, Moritz René Schäfer, Nico Segreto

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Frequent Collaborators

5 joint publications

Johannes Kästner

3 joint publications

Christian Holm

2 joint publications

Fabian Zills

2 joint publications

Samuel Tovey

1 joint publications

Nico Segreto

1 joint publications

Michele Ceriotti

Frequent Collaborators

5 joint publications

Johannes Kästner

3 joint publications

Christian Holm

2 joint publications

Fabian Zills

2 joint publications

Samuel Tovey