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- Currently displaying 41 - 60 of 330 publications
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 Discuss
(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
Journal of Physics: Condensed Matter
(2024)
37
073002
(doi: 10.1088/1361-648X/ad9657)
PLUMED Tutorials: a collaborative, community-driven learning ecosystem
(2024)
Ultracompact Electrical Double Layers at TiO2(110) Electrified Interfaces
J Am Chem Soc
(2024)
146
33443
(doi: 10.1021/jacs.4c09911)
Crumbling crystals: on the dissolution mechanism of NaCl in water
Phys Chem Chem Phys
(2024)
26
26933
(doi: 10.1039/d4cp03115f)
Nuclear quantum effects induce superionic proton transport in nanoconfined water
(2024)
Bringing Molecules Together: Synergistic Coadsorption at Dopant Sites of Single Atom Alloys.
Journal of the American Chemical Society
(2024)
146
28119
(doi: 10.1021/jacs.4c07621)
Introduction to machine learning potentials for atomistic simulations
(2024)
(doi: 10.48550/arxiv.2410.00626)
Quasi-one-dimensional hydrogen bonding in nanoconfined ice.
Nature communications
(2024)
15
7301
(doi: 10.1038/s41467-024-51124-z)
How Accurate Are Simulations and Experiments for the Lattice Energies of Molecular Crystals?
Physical Review Letters
(2024)
133
046401
First-principles spectroscopy of aqueous interfaces using machine-learned electronic and quantum nuclear effects
FARADAY DISCUSSIONS
(2024)
249
50
(doi: 10.1039/D3FD00113J)