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The Journal of Chemical Physics
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July 9, 2021
Data-driven equation for drug-membrane permeability across drugs and membranes
Arghya Dutta, Jilles Vreeken, Luca M Ghiringhelli, et al.
Nature Communications
|
July 19, 2018
Insightful classification of crystal structures using deep learning
Angelo Ziletti, Devinder Kumar, Matthias Scheffler, et al.
Physical Review Letters
|
July 1, 2022
Ab Initio Approach for Thermodynamic Surface Phases with Full Consideration of Anharmonic Effects: The Example of Hydrogen at Si(100)
Yuanyuan Zhou, Chunye Zhu, Matthias Scheffler, et al.
The Journal of Chemical Physics
|
September 18, 2023
Recent advances in the SISSO method and their implementation in the SISSO++ code
Thomas A R Purcell, Matthias Scheffler, Luca M Ghiringhelli
Physical Review Letters
|
October 15, 2013
Stability and metastability of clusters in a reactive atmosphere: theoretical evidence for unexpected stoichiometries of MgMOx
Saswata Bhattacharya, Sergey V Levchenko, Luca M Ghiringhelli, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
June 23, 2011
The interplay between surface-water and hydrogen bonding in a water adlayer on Pt(111) and Ag(111)
Luigi Delle Site, Luca M Ghiringhelli, Oliviero Andreussi, et al.
Physical Review Letters
|
March 28, 2015
Big data of materials science: critical role of the descriptor
Luca M Ghiringhelli, Jan Vybiral, Sergey V Levchenko, et al.
Physical Review Letters
|
May 21, 2005
Modeling the phase diagram of carbon
Luca M Ghiringhelli, Jan H Los, Evert Jan Meijer, et al.
Faraday Discussions
|
September 24, 2024
How big is big data?
Daniel Speckhard, Tim Bechtel, Luca M Ghiringhelli, et al.
Nature Communications
|
September 5, 2020
Identifying domains of applicability of machine learning models for materials science
Christopher Sutton, Mario Boley, Luca M Ghiringhelli, et al.
Page
of 4
Search research articles
Search
Showing results (11-20 of 32) with videos related to
Sort By:
Page
of 4
The Journal of Chemical Physics
|
July 9, 2021
Data-driven equation for drug-membrane permeability across drugs and membranes
Arghya Dutta, Jilles Vreeken, Luca M Ghiringhelli, et al.
Nature Communications
|
July 19, 2018
Insightful classification of crystal structures using deep learning
Angelo Ziletti, Devinder Kumar, Matthias Scheffler, et al.
Physical Review Letters
|
July 1, 2022
Ab Initio Approach for Thermodynamic Surface Phases with Full Consideration of Anharmonic Effects: The Example of Hydrogen at Si(100)
Yuanyuan Zhou, Chunye Zhu, Matthias Scheffler, et al.
The Journal of Chemical Physics
|
September 18, 2023
Recent advances in the SISSO method and their implementation in the SISSO++ code
Thomas A R Purcell, Matthias Scheffler, Luca M Ghiringhelli
Physical Review Letters
|
October 15, 2013
Stability and metastability of clusters in a reactive atmosphere: theoretical evidence for unexpected stoichiometries of MgMOx
Saswata Bhattacharya, Sergey V Levchenko, Luca M Ghiringhelli, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal
|
June 23, 2011
The interplay between surface-water and hydrogen bonding in a water adlayer on Pt(111) and Ag(111)
Luigi Delle Site, Luca M Ghiringhelli, Oliviero Andreussi, et al.
Physical Review Letters
|
March 28, 2015
Big data of materials science: critical role of the descriptor
Luca M Ghiringhelli, Jan Vybiral, Sergey V Levchenko, et al.
Physical Review Letters
|
May 21, 2005
Modeling the phase diagram of carbon
Luca M Ghiringhelli, Jan H Los, Evert Jan Meijer, et al.
Faraday Discussions
|
September 24, 2024
How big is big data?
Daniel Speckhard, Tim Bechtel, Luca M Ghiringhelli, et al.
Nature Communications
|
September 5, 2020
Identifying domains of applicability of machine learning models for materials science
Christopher Sutton, Mario Boley, Luca M Ghiringhelli, et al.
Page
of 4