Browse by UCL people
Group by: Type | Date
Number of items: 8.
Article
Huang, K;
Rowe, P;
Chi, C;
Sreepal, V;
Bohn, T;
Zhou, K-G;
Su, Y;
... Nair, RR; + view all
(2020)
Cation-controlled wetting properties of vermiculite membranes and its promise for fouling resistant oil–water separation.
Nature Communications
, 11
(1)
, Article 1097. 10.1038/s41467-020-14854-4.
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Knee, GC;
Rowe, P;
Smith, LD;
Troisi, A;
Datta, A;
(2017)
Structure-Dynamics Relation in Physically-Plausible Multi-Chromophore Systems.
Journal Of Physical Chemistry Letters
, 8
(10)
pp. 2328-2333.
10.1021/acs.jpclett.7b00829.
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Rowe, P;
Csanyi, G;
Alfe, D;
Michaelides, A;
(2018)
Development of a machine learning potential for graphene.
Physical Review B
, 97
(5)
, Article 054303. 10.1103/PhysRevB.97.054303.
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Rowe, P;
Deringer, VL;
Gasparotto, P;
Csányi, G;
Michaelides, A;
(2020)
An accurate and transferable machine learning potential for carbon.
The Journal of Chemical Physics
, 153
(3)
, Article 034702. 10.1063/5.0005084.
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Thiemann, Fabian L;
Schran, Christoph;
Rowe, Patrick;
Müller, Erich A;
Michaelides, Angelos;
(2022)
Water Flow in Single-Wall Nanotubes: Oxygen Makes It Slip, Hydrogen Makes It Stick.
ACS Nano
10.1021/acsnano.2c02784.
(In press).
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Thiemann, FL;
Rowe, P;
Muller, EA;
Michaelides, A;
(2020)
Machine Learning Potential for Hexagonal Boron Nitride Applied to Thermally and Mechanically Induced Rippling.
Journal of Physical Chemistry C
, 124
(40)
pp. 22278-22290.
10.1021/acs.jpcc.0c05831.
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Thiemann, FL;
Rowe, P;
Zen, A;
Müller, EA;
Michaelides, A;
(2021)
Defect-Dependent Corrugation in Graphene.
Nano Letters
, 21
(19)
pp. 8143-8150.
10.1021/acs.nanolett.1c02585.
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Thesis
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Rowe, Patrick;
(2021)
Accuracy and Transferability in Machine Learned Potentials for Carbon.
Doctoral thesis (Ph.D), UCL (University College London).
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