Francesca Tavazza

Publications

High-throughput Density Functional Perturbation Theory and Machine Learning Predictions of Infrared, Piezoelectric and Dielectric Responses

May 27, 2020

Author(s)

Kamal Choudhary, Kevin F. Garrity, Vinit Sharma, Adam J. Biacchi, Francesca M. Tavazza, Angela R. Hight Walker

In this work, combining high-throughput (HT) density functional perturbation theory and supervised machine learning approaches, we explored the territory of

Computational Search for Magnetic and Non-magnetic 2D Topological Materials using Unified Spin-orbit Spillage Screening

May 7, 2020

Author(s)

Kamal Choudhary, Kevin F. Garrity, Jie Jiang, Ruth Pachter, Francesca M. Tavazza

Two-dimensional topological materials (TMs) have a variety of properties that make them attractive for applications including spintronics and quantum

Enhancing Materials Property Prediction by Leveraging Computational and Experimental Data using Deep Transfer Learning

November 22, 2019

Author(s)

Kamal Choudhary, Dipendra Jha, Ankit Agrawal, Alok Choudhary, Wei-keng Liao, Francesca M. Tavazza, Carelyn E. Campbell

The availability of huge collections of data from DFT-computations has spurred the interest of materials scientists in applying machine learning techniques to

Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics

July 22, 2019

Author(s)

Kamal Choudhary, Aaron G. Kusne, Francesca M. Tavazza, Jason R. Hattrick-Simpers, Rama K. Vasudevan, Apurva Mehta, Ryan Smith, Lukas Vlcek, Sergei V. Kalinin, Maxim Ziatdinov

The use of advanced data analytics, statistical and machine learning approaches (AI) to materials science has experienced a renaissance, driven by advances in

Accelerated Discovery of Efficient Solar Cell Materials Using Quantum and Machine-Learning Methods

July 17, 2019

Author(s)

Francesca M. Tavazza, Marnik Bercx, Dirk Lamoen, Jie Jiang, Ruth Pachter, Kamal Choudhary

Solar energy plays an important role in solving serious environmental problems and meeting the high energy demand. However, the lack of suitable materials

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