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Francesca Tavazza

Showing results (1-10 of 31) with videos related to

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Computational Materials Science|March 14, 2020
Convergence and machine learning predictions of Monkhorst-Pack k-points and plane-wave cut-off in high-throughput DFT calculationsKamal Choudhary, Francesca Tavazza
The Journal of Physical Chemistry. C, Nanomaterials and Interfaces|February 2, 2023
Systematic DFT+U and Quantum Monte Carlo Benchmark of Magnetic Two-Dimensional (2D) CrX<sub>3</sub> (X = I, Br, Cl, F)Daniel Wines, Kamal Choudhary, Francesca Tavazza
ACS Omega|December 13, 2021
Uncertainty Prediction for Machine Learning Models of Material PropertiesFrancesca Tavazza, Brian DeCost, Kamal Choudhary
Physical Review Materials|March 14, 2020
Machine learning with force-field inspired descriptors for materials: fast screening and mapping energy landscapeKamal Choudhary, Brian DeCost, Francesca Tavazza
Scientific Reports|June 14, 2019
High-throughput Discovery of Topologically Non-trivial Materials using Spin-orbit SpillageKamal Choudhary, Kevin F Garrity, Francesca Tavazza
Journal of Physics. Condensed Matter : an Institute of Physics Journal|June 27, 2020
Data-driven discovery of 3D and 2D thermoelectric materialsKamal Choudhary, Kevin F Garrity, Francesca Tavazza
Scientific Reports|July 14, 2017
High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theoryKamal Choudhary, Irina Kalish, Ryan Beams, et al.
Physical Review. B|March 14, 2020
Elastic properties of bulk and low-dimensional materials using Van der Waals density functionalKamal Choudhary, Gowoon Cheon, Evan Reed, et al.
Nano Letters|January 30, 2023
High-Throughput DFT-Based Discovery of Next Generation Two-Dimensional (2D) SuperconductorsDaniel Wines, Kamal Choudhary, Adam J Biacchi, et al.
Chemistry of Materials : a Publication of the American Chemical Society|March 14, 2020
Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning MethodsKamal Choudhary, Marnik Bercx, Jie Jiang, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Computational Materials Science|March 14, 2020
Convergence and machine learning predictions of Monkhorst-Pack k-points and plane-wave cut-off in high-throughput DFT calculationsKamal Choudhary, Francesca Tavazza
The Journal of Physical Chemistry. C, Nanomaterials and Interfaces|February 2, 2023
Systematic DFT+U and Quantum Monte Carlo Benchmark of Magnetic Two-Dimensional (2D) CrX<sub>3</sub> (X = I, Br, Cl, F)Daniel Wines, Kamal Choudhary, Francesca Tavazza
ACS Omega|December 13, 2021
Uncertainty Prediction for Machine Learning Models of Material PropertiesFrancesca Tavazza, Brian DeCost, Kamal Choudhary
Physical Review Materials|March 14, 2020
Machine learning with force-field inspired descriptors for materials: fast screening and mapping energy landscapeKamal Choudhary, Brian DeCost, Francesca Tavazza
Scientific Reports|June 14, 2019
High-throughput Discovery of Topologically Non-trivial Materials using Spin-orbit SpillageKamal Choudhary, Kevin F Garrity, Francesca Tavazza
Journal of Physics. Condensed Matter : an Institute of Physics Journal|June 27, 2020
Data-driven discovery of 3D and 2D thermoelectric materialsKamal Choudhary, Kevin F Garrity, Francesca Tavazza
Scientific Reports|July 14, 2017
High-throughput Identification and Characterization of Two-dimensional Materials using Density functional theoryKamal Choudhary, Irina Kalish, Ryan Beams, et al.
Physical Review. B|March 14, 2020
Elastic properties of bulk and low-dimensional materials using Van der Waals density functionalKamal Choudhary, Gowoon Cheon, Evan Reed, et al.
Nano Letters|January 30, 2023
High-Throughput DFT-Based Discovery of Next Generation Two-Dimensional (2D) SuperconductorsDaniel Wines, Kamal Choudhary, Adam J Biacchi, et al.
Chemistry of Materials : a Publication of the American Chemical Society|March 14, 2020
Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning MethodsKamal Choudhary, Marnik Bercx, Jie Jiang, et al.
Pageof 4