activity
20172026
most citedThe first-principles phase diagram of monolayer nanoconfined water

274 citations · 1.2k across the 26 of their papers we have counts for

collaborators

29 papers

physics.chem-ph2026

CP2K: An electronic structure and molecular dynamics software package - Dynamics, Transport, and Spectroscopic Response

Jan Wilhelm, Anna-Sophia Hehn, Hossam Elgabarty +39

One of the distinguishing aspects of CP2K is its seamless integration of diverse structural and transition-state optimization techniques with advanced sampling approaches including…

physics.chem-ph2025★ 5 cited

Multi-head committees enable direct uncertainty prediction for atomistic foundation models

Hubert Beck, Pavol Simko, Lars L. Schaaf +2

Machine learning potentials have become a standard tool for atomistic materials modelling. While models continue to become more generalisable, an open challenge relates to efficien…

physics.comp-ph2025★ 1 cited

The CP2K Program Package Made Simple

Marcella Iannuzzi, Jan Wilhelm, Frederick Stein +24

CP2K is a versatile open-source software package for simulations across a wide range of atomistic systems, from isolated molecules in the gas phase to low-dimensional functional ma…

physics.chem-ph2024★ 1 cited

Introduction to machine learning potentials for atomistic simulations

Fabian L. Thiemann, Niamh O'Neill, Venkat Kapil +2

Machine learning potentials have revolutionised the field of atomistic simulations in recent years and are becoming a mainstay in the toolbox of computational scientists. This pape…

physics.chem-ph2024★ 1 cited

Protons accumulate at the graphene-water interface

Xavier R. Advincula, Kara D. Fong, Angelos Michaelides +1

Water's ability to autoionize into hydroxide and hydronium ions profoundly influences surface properties, rendering interfaces either basic or acidic. While it is well-established…

cond-mat.mtrl-sci2024★ 9 cited

The Wetting of HO by CO

Samuel G. H. Brookes, Venkat Kapil, Christoph Schran +1

Biphasic interfaces are complex but fascinating regimes that display a number of properties distinct from those of the bulk. The CO-HO interface, in particular, has been th…

physics.chem-ph2024★ 249 cited

A foundation model for atomistic materials chemistry

Ilyes Batatia, Philipp Benner, Yuan Chiang +85

Atomistic simulations of matter, especially those that leverage first-principles (ab initio) electronic structure theory, provide a microscopic view of the world, underpinning much…

cond-mat.stat-mech2023

Quasi-one-dimensional hydrogen bonding in nanoconfined ice

Pavan Ravindra, Xavier R. Advincula, Christoph Schran +2

The Bernal-Fowler ice rules stipulate that each water molecule in an ice crystal should form four hydrogen bonds. However, in extreme or constrained conditions, the arrangement of…

physics.chem-ph2023

To Pair or not to Pair? Machine-Learned Explicitly-Correlated Electronic Structure for NaCl in Water

Niamh O'Neill, Benjamin X. Shi, Kara Fong +2

The extent of ion pairing in solution is an important phenomenon to rationalise transport and thermodynamic properties of electrolytes. A fundamental measure of this pairing is the…

physics.chem-ph2022★ 6 cited

Understanding the anomalously low dielectric constant of confined water: an ab initio study

Thomas Dufils, Christoph Schran, Ji Chen +3

Recent experiments have shown that the out-of-plane dielectric constant of water confined in nanoslits of graphite and hexagonal boron nitride (hBN) is vanishingly small. Despite e…

physics.chem-ph2022★ 4 cited

Crumbling Crystals: On the Dissolution Mechanism of NaCl in Water

Niamh O'Neill, Christoph Schran, Stephen J. Cox +1

Life on Earth depends upon the dissolution of ionic salts in water, particularly NaCl. However, an atomistic scale understanding of the process remains elusive. Simulations lend th…

physics.chem-ph2022★ 5 cited

Neural Network Interaction Potentials for para-Hydrogen with Flexible Molecules

Laura Durán Caballero, Christoph Schran, Fabien Brieuc +1

The study of molecular impurities in -hydrogen (H) clusters is key to push forward our understanding of intra- and intermolecular interactions including their impac…

physics.chem-ph2022★ 25 cited

State-resolved infrared spectrum of the protonated water dimer: Revisiting the characteristic proton transfer doublet peak

Henrik R. Larsson, Markus Schröder, Richard Beckmann +4

The infrared (IR) spectra of protonated water clusters encode precise information on the dynamics and structure of the hydrated proton. However, the strong anharmonic coupling and…

cond-mat.mtrl-sci2022★ 1 cited

Tracking single atoms in a liquid environment

Nicholas Clark, Daniel J. Kelly, Mingwei Zhou +7

The chemical behaviour of single metal atoms largely depends on the local coordination environment, including interactions with the substrate and with the surrounding gas or liquid…

cond-mat.mtrl-sci2022

Water flow in single-wall nanotubes: Oxygen makes it slip, hydrogen makes it stick

Fabian L Thiemann, Christoph Schran, Patrick Rowe +2

Experimental measurements have reported ultra-fast and radius-dependent water transport in carbon nanotubes which are absent in boron nitride nanotubes. Despite considerable effort…

physics.chem-ph2022★ 42 cited

Infrared spectra at coupled cluster accuracy from neural network representations

Richard Beckmann, Fabien Brieuc, Christoph Schran +1

Infrared spectroscopy is key to elucidate molecular structures, monitor reactions and observe conformational changes, while providing information on both structural and dynamical p…

cond-mat.mtrl-sci2021★ 274 cited

The first-principles phase diagram of monolayer nanoconfined water

Venkat Kapil, Christoph Schran, Andrea Zen +3

Water in nanoscale cavities is ubiquitous and of central importance to everyday phenomena in geology and biology. However, the properties of nanoscale water can be remarkably diffe…

physics.chem-ph2021★ 10 cited

Machine learning potentials for complex aqueous systems made simple

Christoph Schran, Fabian L. Thiemann, Patrick Rowe +3

Simulation techniques based on accurate and efficient representations of potential energy surfaces are urgently needed for the understanding of complex aqueous systems such as soli…

physics.chem-ph2021★ 33 cited

Correlated Particle Motion and THz Spectral Response of Supercritical Water

Maciej Śmiechowsk, Christoph Schran, Harald Forbert +1

Molecular dynamics simulations of supercritical water reveal distinctly different distance-dependent modulations of dipolar response and correlations in particle motion compared to…

physics.chem-ph2021★ 33 cited

Force-induced Catastrophes on Energy Landscapes: Mechanochemical Manipulation of Downhill and Uphill Bifurcations Explains Ring-opening Selectivity of Cyclopropanes

Miriam Wollenhaupt, Christoph Schran, Martin Krupička +1

The mechanochemistry of ring-opening reactions of cyclopropane derivatives turns out to be unexpectedly rich and puzzling. After showing that a rare so-called uphill bifurcation in…

physics.chem-ph2021★ 44 cited

High-dimensional neural network potentials for solvation: The case of protonated water clusters in helium

Christoph Schran, Felix Uhl, Jörg Behler +1

The design of accurate helium-solute interaction potentials for the simulation of chemically complex molecules solvated in superfluid helium has long been a cumbersome task due to…

physics.chem-ph2021★ 39 cited

Converged Colored Noise Path Integral Molecular Dynamics Study of the Zundel Cation down to Ultra-low Temperatures at Coupled Cluster Accuracy

Christoph Schran, Fabien Brieuc, Dominik Marx

For a long time, performing converged path integral simulations at ultra-low, but finite temperatures of a few Kelvin has been a nearly impossible task. However, recent development…

physics.chem-ph2020★ 2 cited

Manifestations of Local Supersolidity of He around a Charged Molecular Impurity

Fabien Brieuc, Christoph Schran, Dominik Marx

A frozen, solid helium core, dubbed snowball, is typically observed around cations in liquid helium. Here we discover, using path integral simulations, that around a cationic molec…

physics.chem-ph2020★ 31 cited

Transferability of machine learning potentials: Protonated water neural network potential applied to the protonated water hexamer

Christoph Schran, Fabien Brieuc, Dominik Marx

A previously published neural network potential for the description of protonated water clusters up to the protonated water tetramer, H(HO), at essentially converged co…