Sonifying stochastic walks on biomolecular energy landscapes. - Robert E. Arbon; Alex J. Jones; Lars A. Bratholm; Tom Mitchell 001; David R. Glowacki (CoRR, 2018)

Training neural nets to learn reactive potential energy surfaces using interactive quantum chemistry in virtual reality. - Silvia Amabilino; Lars A. Bratholm; Simon J. Bennie; Alain C. Vaucher; Markus Reiher; David R. Glowacki (CoRR, 2019)

A community-powered search of machine learning strategy space to find NMR property prediction models. - Lars A. Bratholm; Will Gerrard; Brandon M. Anderson; Shaojie Bai; Sunghwan Choi; Lam Dang; Pavel Hanchar; Addison Howard; Guillaume Huard; Sanghoon Kim; J. Zico Kolter; Risi Kondor; et al. (CoRR, 2020)

Streamlining NMR Chemical Shift Predictions for Intrinsically Disordered Proteins: Design of Ensembles with Dimensionality Reduction and Clustering. - Michael J. Bakker; Amina Gaffour; Martin Juhás; Vojtech Zapletal; Jakub Stosek; Lars A. Bratholm; Jana Pavlíková Precechtelová (J. Chem. Inf. Model., 2024)