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Npj Computational Materials
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December 9, 2024
Range-separated hybrid functionals for accurate prediction of band gaps of extended systems
Jing Yang, Stefano Falletta, Alfredo Pasquarello
Npj Computational Materials
|
December 23, 2024
A general framework for active space embedding methods with applications in quantum computing
Stefano Battaglia, Max Rossmannek, Vladimir V Rybkin, et al.
Npj Computational Materials
|
November 20, 2024
High-throughput Density Functional Perturbation Theory and Machine Learning Predictions of Infrared, Piezoelectric and Dielectric Responses
Kamal Choudhary, Kevin F Garrity, Vinit Sharma, et al.
Npj Computational Materials
|
November 6, 2025
Quantitative theory of magnetic properties of elemental praseodymium
Leonid V Pourovskii, Alena Vishina, Olle Eriksson, et al.
Npj Computational Materials
|
September 25, 2025
Leveraging unlabeled SEM datasets with self-supervised learning for enhanced particle segmentation
Luca Rettenberger, Nathan J Szymanski, Andrea Giunto, et al.
Npj Computational Materials
|
October 22, 2021
Topological representations of crystalline compounds for the machine-learning prediction of materials properties
Yi Jiang, Dong Chen, Xin Chen, et al.
Npj Computational Materials
|
November 26, 2021
Systematic Coarse-graining of Epoxy Resins with Machine Learning-Informed Energy Renormalization
Andrea Giuntoli, Nitin K Hansoge, Anton van Beek, et al.
Npj Computational Materials
|
April 29, 2026
Equivariant electronic Hamiltonian prediction with many-body message passing
Chen Qian, Valdas Vitartas, James R Kermode, et al.
Npj Computational Materials
|
May 4, 2026
Extraction of the self energy and Eliashberg function from angle resolved photoemission spectroscopy using the xARPES code
Thomas P van Waas, Christophe Berthod, Jan Berges, et al.
Npj Computational Materials
|
March 16, 2026
Active learning potentials for first-principles phase diagrams using replica-exchange nested sampling
Nico Unglert, Michael Ketter, Georg K H Madsen
Page
of 10
Search research articles
Search
Showing results (61-70 of 91) with videos related to
Sort By:
Page
of 10
Npj Computational Materials
|
December 9, 2024
Range-separated hybrid functionals for accurate prediction of band gaps of extended systems
Jing Yang, Stefano Falletta, Alfredo Pasquarello
Npj Computational Materials
|
December 23, 2024
A general framework for active space embedding methods with applications in quantum computing
Stefano Battaglia, Max Rossmannek, Vladimir V Rybkin, et al.
Npj Computational Materials
|
November 20, 2024
High-throughput Density Functional Perturbation Theory and Machine Learning Predictions of Infrared, Piezoelectric and Dielectric Responses
Kamal Choudhary, Kevin F Garrity, Vinit Sharma, et al.
Npj Computational Materials
|
November 6, 2025
Quantitative theory of magnetic properties of elemental praseodymium
Leonid V Pourovskii, Alena Vishina, Olle Eriksson, et al.
Npj Computational Materials
|
September 25, 2025
Leveraging unlabeled SEM datasets with self-supervised learning for enhanced particle segmentation
Luca Rettenberger, Nathan J Szymanski, Andrea Giunto, et al.
Npj Computational Materials
|
October 22, 2021
Topological representations of crystalline compounds for the machine-learning prediction of materials properties
Yi Jiang, Dong Chen, Xin Chen, et al.
Npj Computational Materials
|
November 26, 2021
Systematic Coarse-graining of Epoxy Resins with Machine Learning-Informed Energy Renormalization
Andrea Giuntoli, Nitin K Hansoge, Anton van Beek, et al.
Npj Computational Materials
|
April 29, 2026
Equivariant electronic Hamiltonian prediction with many-body message passing
Chen Qian, Valdas Vitartas, James R Kermode, et al.
Npj Computational Materials
|
May 4, 2026
Extraction of the self energy and Eliashberg function from angle resolved photoemission spectroscopy using the xARPES code
Thomas P van Waas, Christophe Berthod, Jan Berges, et al.
Npj Computational Materials
|
March 16, 2026
Active learning potentials for first-principles phase diagrams using replica-exchange nested sampling
Nico Unglert, Michael Ketter, Georg K H Madsen
Page
of 10