Path integral simulations of condensed-phase vibrational spectroscopy

SC Althorpe - Annual Review of Physical Chemistry, 2024 - annualreviews.org
Recent theoretical and algorithmic developments have improved the accuracy with which
path integral dynamics methods can include nuclear quantum effects in simulations of …

MACE-OFF23: Transferable machine learning force fields for organic molecules

DP Kovács, JH Moore, NJ Browning, I Batatia… - arxiv preprint arxiv …, 2023 - arxiv.org
Classical empirical force fields have dominated biomolecular simulation for over 50 years.
Although widely used in drug discovery, crystal structure prediction, and biomolecular …

[HTML][HTML] Experimental and simulation-based characterization of surfactant adsorption layers at fluid interfaces

E Schneck, J Reed, T Seki, Y Nagata… - Advances in Colloid and …, 2024 - Elsevier
Adsorption of surfactants to fluid interfaces occurs in numerous technological and daily-life
contexts. The coverage at the interface and other properties of the formed adsorption layers …

Quasi-one-dimensional hydrogen bonding in nanoconfined ice

P Ravindra, XR Advincula, C Schran… - Nature …, 2024 - nature.com
Abstract 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 …

Data-efficient fine-tuning of foundational models for first-principles quality sublimation enthalpies

H Kaur, F Della Pia, I Batatia, XR Advincula… - Faraday …, 2025 - pubs.rsc.org
Calculating sublimation enthalpies of molecular crystal polymorphs is relevant to a wide
range of technological applications. However, predicting these quantities at first-principles …

[HTML][HTML] Density isobar of water and melting temperature of ice: Assessing common density functionals

P Montero de Hijes, C Dellago, R **nouchi… - The Journal of …, 2024 - pubs.aip.org
We investigate the density isobar of water and the melting temperature of ice using six
different density functionals. Machine-learning potentials are employed to ensure …

Efficient Composite Infrared Spectroscopy: Combining the Double-Harmonic Approximation with Machine Learning Potentials

P Pracht, Y Pillai, V Kapil, G Csányi… - Journal of Chemical …, 2024 - ACS Publications
Vibrational spectroscopy is a cornerstone technique for molecular characterization and
offers an ideal target for the computational investigation of molecular materials. Building on …

Tensorial properties via the neuroevolution potential framework: Fast simulation of infrared and Raman spectra

N Xu, P Rosander, C Schäfer… - Journal of Chemical …, 2024 - ACS Publications
Infrared and Raman spectroscopy are widely used for the characterization of gases, liquids,
and solids, as the spectra contain a wealth of information concerning, in particular, the …

Efficient Parametrization of Transferable Atomic Cluster Expansion for Water

E Ibrahim, Y Lysogorskiy, R Drautz - Journal of Chemical Theory …, 2024 - ACS Publications
We present a highly accurate and transferable parametrization of water using the atomic
cluster expansion (ACE). To efficiently sample liquid water, we propose a novel approach …

Fast quasi-centroid molecular dynamics for water and ice

JE Lawrence, AZ Lieberherr, T Fletcher… - The Journal of …, 2023 - ACS Publications
We describe how the fast quasi-centroid molecular dynamics (f-QCMD) method can be
applied to condensed-phase systems by approximating the quasi-centroid potential of mean …