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Aria Mansouri Tehrani

Showing results (1-10 of 9) with videos related to

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Inorganic Chemistry|September 7, 2016
Determining a Structural Distortion and Anion Ordering in La2Si4N6C via Computation and ExperimentMartin Hermus, Aria Mansouri Tehrani, Jakoah Brgoch
The Journal of Physical Chemistry Letters|March 14, 2018
Predicting the Band Gaps of Inorganic Solids by Machine LearningYa Zhuo, Aria Mansouri Tehrani, Jakoah Brgoch
The Journal of Physical Chemistry Letters|August 3, 2022
Physics-Guided Descriptors for Prediction of Structural PolymorphsBastien F Grosso, Nicola A Spaldin, Aria Mansouri Tehrani
Advanced Materials (Deerfield Beach, Fla.)|December 4, 2020
Finding the Next Superhard Material through Ensemble LearningZiyan Zhang, Aria Mansouri Tehrani, Anton O Oliynyk, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|March 21, 2023
Experimental and theoretical thermodynamic studies in Ba<sub>2</sub>MgReO<sub>6</sub>-the ground state in the context of Jahn-Teller effectJana Pásztorová, Aria Mansouri Tehrani, Ivica Živković, et al.
Nature Communications|October 24, 2018
Identifying an efficient, thermally robust inorganic phosphor host via machine learningYa Zhuo, Aria Mansouri Tehrani, Anton O Oliynyk, et al.
Journal of the American Chemical Society|July 17, 2018
Machine Learning Directed Search for Ultraincompressible, Superhard MaterialsAria Mansouri Tehrani, Anton O Oliynyk, Marcus Parry, et al.
Nano Letters|November 20, 2024
Depth-Resolved Profile of the Interfacial Ferromagnetism in CaMnO<sub>3</sub>/CaRuO<sub>3</sub> SuperlatticesJay R Paudel, Aria Mansouri Tehrani, Michael Terilli, et al.
Journal of the American Chemical Society|March 26, 2026
Stabilizing Structural Transitional States between 1- and 2-Dimensional Topologies via Hydrogen Bond-Mediated Crystal EngineeringMariya Aleksich, Adriana J Ladera, Avery LaMonica, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Inorganic Chemistry|September 7, 2016
Determining a Structural Distortion and Anion Ordering in La2Si4N6C via Computation and ExperimentMartin Hermus, Aria Mansouri Tehrani, Jakoah Brgoch
The Journal of Physical Chemistry Letters|March 14, 2018
Predicting the Band Gaps of Inorganic Solids by Machine LearningYa Zhuo, Aria Mansouri Tehrani, Jakoah Brgoch
The Journal of Physical Chemistry Letters|August 3, 2022
Physics-Guided Descriptors for Prediction of Structural PolymorphsBastien F Grosso, Nicola A Spaldin, Aria Mansouri Tehrani
Advanced Materials (Deerfield Beach, Fla.)|December 4, 2020
Finding the Next Superhard Material through Ensemble LearningZiyan Zhang, Aria Mansouri Tehrani, Anton O Oliynyk, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|March 21, 2023
Experimental and theoretical thermodynamic studies in Ba<sub>2</sub>MgReO<sub>6</sub>-the ground state in the context of Jahn-Teller effectJana Pásztorová, Aria Mansouri Tehrani, Ivica Živković, et al.
Nature Communications|October 24, 2018
Identifying an efficient, thermally robust inorganic phosphor host via machine learningYa Zhuo, Aria Mansouri Tehrani, Anton O Oliynyk, et al.
Journal of the American Chemical Society|July 17, 2018
Machine Learning Directed Search for Ultraincompressible, Superhard MaterialsAria Mansouri Tehrani, Anton O Oliynyk, Marcus Parry, et al.
Nano Letters|November 20, 2024
Depth-Resolved Profile of the Interfacial Ferromagnetism in CaMnO<sub>3</sub>/CaRuO<sub>3</sub> SuperlatticesJay R Paudel, Aria Mansouri Tehrani, Michael Terilli, et al.
Journal of the American Chemical Society|March 26, 2026
Stabilizing Structural Transitional States between 1- and 2-Dimensional Topologies via Hydrogen Bond-Mediated Crystal EngineeringMariya Aleksich, Adriana J Ladera, Avery LaMonica, et al.
Pageof 1