Sudhir B. Kylasa

6 papers and 1.5k indexed citations i.

Sudhir B. Kylasa has authored 6 papers that have received a total of 1.5k indexed citations. This includes 3 papers in Materials Chemistry, 3 papers in Computational Mechanics and 2 papers in Artificial Intelligence. The topics of these papers are Machine Learning in Materials Science (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). Sudhir B. Kylasa is often cited by papers focused on Machine Learning in Materials Science (3 papers), Stochastic Gradient Optimization Techniques (2 papers) and Sparse and Compressive Sensing Techniques (2 papers) and collaborates with scholars based in United States, Australia and Belgium. Sudhir B. Kylasa's co-authors include Ananth Grama, Hasan Metin Aktulga, Michael W. Mahoney, Michael J. Janik and Fred Roosta and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Parallel and Distributed Systems and npj Computational Materials.