Sudhir B. Kylasa
About
Sudhir B. Kylasa has authored 6 papers that have received a total of 1.4k 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), Sparse and Compressive Sensing Techniques (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Sudhir B. Kylasa is often cited by papers focused on Machine Learning in Materials Science (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Stochastic Gradient Optimization Techniques (2 papers) and collaborates with scholars based in United States, Belgium and Australia. Sudhir B. Kylasa's co-authors include Ananth Grama, Hasan Metin Aktulga, Michael W. Mahoney, George Kollias and Michael J. Janik and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Parallel and Distributed Systems and npj Computational Materials.
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