activity
20202025
most citedCommittee neural network potentials control generalization errors and enable active learning

191 citations · 233 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2025★ 1 cited

Explaining Principles of Tip-Enhanced Raman Images with Ab Initio Modeling

Krystof Brezina, Yair Litman, Mariana Rossi

Tip-enhanced Raman spectroscopy (TERS) is a powerful method for imaging vibrational motion and chemically characterizing surface-bound systems. Theoretical simulations of TERS imag…

physics.chem-ph2024

Elucidating the Nature of -hydrogen Bonding in Liquid Water and Ammonia

Krystof Brezina, Hubert Beck, Ondrej Marsalek

Aromatic compounds form an unusual kind of hydrogen bond with water and ammonia molecules, known as the -hydrogen bond. In this work, we report ab initio path integral molecular…

physics.chem-ph2023★ 18 cited

Reducing the cost of neural network potential generation for reactive molecular systems

Krystof Brezina, Hubert Beck, Ondrej Marsalek

Although machine-learning potentials have recently had substantial impact on molecular simulations, the construction of a robust training set can still become a limiting factor, es…

physics.chem-ph2021★ 5 cited

Benzene Radical Anion Microsolvated in Ammonia Clusters: Modelling the Transition from an Unbound Resonance to a Bound Species

Vojtech Kostal, Krystof Brezina, Ondrej Marsalek +1

The benzene radical anion, well-known in organic chemistry as the first intermediate in the Birch reduction of benzene in liquid ammonia, exhibits intriguing properties from the po…

physics.chem-ph2021★ 5 cited

Electronic Structure of the Solvated Benzene Radical Anion

Krystof Brezina, Vojtech Kostal, Pavel Jungwirth +1

The benzene radical anion is a molecular ion pertinent to several organic reactions, including the Birch reduction of benzene in liquid ammonia. The species exhibits a dynamic Jahn…

physics.chem-ph2020★ 191 cited

Committee neural network potentials control generalization errors and enable active learning

Christoph Schran, Krystof Brezina, Ondrej Marsalek

It is well known in the field of machine learning that committee models improve accuracy, provide generalization error estimates, and enable active learning strategies. In this wor…

physics.chem-ph2020★ 13 cited

Benzene radical anion in the context of the Birch reduction: when solvation is the key

Krystof Brezina, Pavel Jungwirth, Ondrej Marsalek

The benzene radical anion is an important intermediate in the Birch reduction of benzene by solvated electrons in liquid ammonia. Beyond organic chemistry, it is an intriguing subj…