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Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
November 22, 2024
Introduction to machine learning potentials for atomistic simulations
Fabian L Thiemann, Niamh O'Neill, Venkat Kapil, et al.
Topics in Catalysis
|
July 2, 2019
Carbon Monoxide Poisoning Resistance and Structural Stability of Single Atom Alloys
Matthew T Darby, E Charles H Sykes, Angelos Michaelides, et al.
The Journal of Physical Chemistry Letters
|
September 7, 2018
Lonely Atoms with Special Gifts: Breaking Linear Scaling Relationships in Heterogeneous Catalysis with Single-Atom Alloys
Matthew T Darby, Michail Stamatakis, Angelos Michaelides, et al.
The Journal of Chemical Physics
|
July 28, 2020
An accurate and transferable machine learning potential for carbon
Patrick Rowe, Volker L Deringer, Piero Gasparotto, et al.
The Journal of Physical Chemistry Letters
|
May 31, 2024
To Pair or not to Pair? Machine-Learned Explicitly-Correlated Electronic Structure for NaCl in Water
Niamh O'Neill, Benjamin X Shi, Kara Fong, et al.
The Journal of Chemical Physics
|
August 24, 2020
Electronic structure software
C David Sherrill, David E Manolopoulos, Todd J Martínez, et al.
Nano Letters
|
January 10, 2023
Classical Quantum Friction at Water-Carbon Interfaces
Anna T Bui, Fabian L Thiemann, Angelos Michaelides, et al.
The Journal of Chemical Physics
|
March 21, 2025
Efficient exploration of reaction pathways using reaction databases and active learning
Domantas Kuryla, Gábor Csányi, Adri C T van Duin, et al.
Nature Communications
|
December 24, 2017
Pre-critical fluctuations and what they disclose about heterogeneous crystal nucleation
Martin Fitzner, Gabriele C Sosso, Fabio Pietrucci, et al.
ACS Nano
|
May 17, 2011
Melting the ice: on the relation between melting temperature and size for nanoscale ice crystals
Ding Pan, Li-Min Liu, Ben Slater, et al.
Page
of 20
Search research articles
Search
Showing results (81-90 of 197) with videos related to
Sort By:
Page
of 20
Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
November 22, 2024
Introduction to machine learning potentials for atomistic simulations
Fabian L Thiemann, Niamh O'Neill, Venkat Kapil, et al.
Topics in Catalysis
|
July 2, 2019
Carbon Monoxide Poisoning Resistance and Structural Stability of Single Atom Alloys
Matthew T Darby, E Charles H Sykes, Angelos Michaelides, et al.
The Journal of Physical Chemistry Letters
|
September 7, 2018
Lonely Atoms with Special Gifts: Breaking Linear Scaling Relationships in Heterogeneous Catalysis with Single-Atom Alloys
Matthew T Darby, Michail Stamatakis, Angelos Michaelides, et al.
The Journal of Chemical Physics
|
July 28, 2020
An accurate and transferable machine learning potential for carbon
Patrick Rowe, Volker L Deringer, Piero Gasparotto, et al.
The Journal of Physical Chemistry Letters
|
May 31, 2024
To Pair or not to Pair? Machine-Learned Explicitly-Correlated Electronic Structure for NaCl in Water
Niamh O'Neill, Benjamin X Shi, Kara Fong, et al.
The Journal of Chemical Physics
|
August 24, 2020
Electronic structure software
C David Sherrill, David E Manolopoulos, Todd J Martínez, et al.
Nano Letters
|
January 10, 2023
Classical Quantum Friction at Water-Carbon Interfaces
Anna T Bui, Fabian L Thiemann, Angelos Michaelides, et al.
The Journal of Chemical Physics
|
March 21, 2025
Efficient exploration of reaction pathways using reaction databases and active learning
Domantas Kuryla, Gábor Csányi, Adri C T van Duin, et al.
Nature Communications
|
December 24, 2017
Pre-critical fluctuations and what they disclose about heterogeneous crystal nucleation
Martin Fitzner, Gabriele C Sosso, Fabio Pietrucci, et al.
ACS Nano
|
May 17, 2011
Melting the ice: on the relation between melting temperature and size for nanoscale ice crystals
Ding Pan, Li-Min Liu, Ben Slater, et al.
Page
of 20