Ankit Agrawal
MetroHealth(US)Cleveland Clinic(US)Thapar Institute of Engineering & Technology(IN)Manipal Academy of Higher Education(IN)Indian Institute of Information Technology Design and Manufacturing Jabalpur(IN)Indian Institute of Technology Delhi(IN)Birla Institute of Technology and Science, Pilani(IN)
Publications by Year
Research Areas
Machine Learning in Materials Science, X-ray Diffraction in Crystallography, Genomics and Phylogenetic Studies, Complex Network Analysis Techniques, Advanced Data Storage Technologies
Most-Cited Works
- → A general-purpose machine learning framework for predicting properties of inorganic materials(2016)1,605 cited
- → Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science(2016)1,214 cited
- → Recent advances and applications of deep learning methods in materials science(2022)982 cited
- → Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection(2017)929 cited
- → Combinatorial screening for new materials in unconstrained composition space with machine learning(2014)730 cited
- → ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition(2018)478 cited