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- Currently displaying 41 - 60 of 345 publications
Accurate and efficient machine learning interatomic potentials for finite temperature modelling of molecular crystals.
Chemical science
(2025)
16
11419
(doi: 10.1039/d5sc01325a)
Protons Accumulate at the Graphene-Water Interface.
ACS nano
(2025)
19
17728
(doi: 10.1021/acsnano.5c02053)
Systematic discrepancies between reference methods for noncovalent interactions within the S66 dataset
The Journal of chemical physics
(2025)
162
144107
(doi: 10.1063/5.0254021)
Spontaneous Surface Charging and Janus Nature of the Hexagonal Boron Nitride-Water Interface
(2025)
(doi: 10.48550/arxiv.2504.01152)
On the Physical Origins of Reduced Ionic Conductivity in Nanoconfined Electrolytes.
ACS Nano
(2025)
19
13191
(doi: 10.1021/acsnano.4c18956)
Efficient exploration of reaction pathways using reaction databases and active learning
The Journal of Chemical Physics
(2025)
162
114122
(doi: 10.1063/5.0235715)
PLUMED Tutorials: A collaborative, community-driven learning ecosystem.
J Chem Phys
(2025)
162
092501
(doi: 10.1063/5.0251501)
Defects induce phase transition from dynamic to static rippling in graphene
Proceedings of the National Academy of Sciences
(2025)
122
e2416932122
(doi: 10.1073/pnas.2416932122)
Importance of Ion Size on the Dominance of Water–Ion Versus Water–Water Interactions in Au-Supported Solvatomers
Nano Lett
(2025)
25
2188
(doi: 10.1021/acs.nanolett.4c05184)
Cooperative CO2 capture via oxalate formation on metal-decorated graphene
Physical Review Materials
(2025)
9
015401
Data-efficient fine-tuning of foundational models for first-principles quality sublimation enthalpies.
Faraday discussions
(2025)
256
120
(doi: 10.1039/d4fd00107a)
Momentum tunnelling between nanoscale liquid flows
Nature Nanotechnology
(2025)
(doi: 10.1038/s41565-024-01842-8)
On the physical origins of reduced ionic conductivity in nanoconfined electrolytes
(2024)
(doi: 10.26434/chemrxiv-2024-3p7hg)
An accurate and efficient framework for modelling the surface chemistry of ionic materials
(2024)
On the increase of the melting temperature of water confined in one-dimensional nano-cavities
J Chem Phys
(2024)
161
224706
(doi: 10.1063/5.0239452)
Introduction to machine learning potentials for atomistic simulations
J Phys Condens Matter
(2024)
37
073002
(doi: 10.1088/1361-648X/ad9657)
PLUMED Tutorials: a collaborative, community-driven learning ecosystem
(2024)
(doi: 10.48550/arxiv.2412.03595)