Meghna Srivastava

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Diffusion Weighted

Artificial Intelligence

Machine Learning

Top Venues

ACS energy letters

The journal of physical chemistry letters

This page only lists publications with an associated author ORCID identifier.

Publications

Meghna Srivastava, Abigail R Hering, Yu An, Juan Pablo Correa Baena, Marina S Leite
Machine Learning Enables Prediction of Halide Perovskites' Optical Behavior with >90% Accuracy. ACS energy letters 8 (4) (2023)
Meghna Srivastava, Abigail R Hering, Yu An, Juan Pablo Correa Baena, Marina S Leite
Machine Learning Enables Prediction of Halide Perovskites' Optical Behavior with >90% Accuracy. ACS energy letters 8 (4) (2023)
Meghna Srivastava, Abigail R Hering, Yu An, Juan Pablo Correa Baena, Marina S Leite
Machine Learning Enables Prediction of Halide Perovskites' Optical Behavior with >90% Accuracy. ACS energy letters 8 (4) (2023)
Meghna Srivastava, Abigail R Hering, Yu An, Juan Pablo Correa Baena, Marina S Leite
Machine Learning Enables Prediction of Halide Perovskites' Optical Behavior with >90% Accuracy. ACS energy letters 8 (4) (2023)
John M Howard, Qiong Wang, Meghna Srivastava, Tao Gong, Erica Lee, Antonio Abate, Marina S Leite
Quantitative Predictions of Moisture-Driven Photoemission Dynamics in Metal Halide Perovskites via Machine Learning. The journal of physical chemistry letters 13 (9) (2022)
Meghna Srivastava, John M Howard, Tao Gong, Mariama Rebello Sousa Dias, Marina S Leite
Machine Learning Roadmap for Perovskite Photovoltaics. The journal of physical chemistry letters 12 (32) (2021)