Browse by UCL people
Group by: Type | Date
Number of items: 5.
Article
Schran, C;
Thiemann, FL;
Rowe, P;
Muller, EA;
Marsalek, O;
Michaelides, A;
(2021)
Machine learning potentials for complex aqueous made.
Proceedings of the National Academy of Sciences of the United States of America (PNAS)
, 118
(38)
10.1073/pnas.2110077118.
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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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Thiemann, Fabian Lukas;
(2022)
Properties of Low-dimensional Materials Explored with Machine Learning Potentials.
Doctoral thesis (Ph.D), UCL (University College London).
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