Area of research
Materials Chemistry · Atomic and Molecular Physics, and Optics
Research interest
Research interests include Machine Learning in Materials Science, Topological Materials and Phenomena, X-ray Diffraction in Crystallography, and Graphene research and applications.
Virtual node graph neural network for full phonon prediction
Topology stabilized fluctuations in a magnetic nodal semimetal
Panoramic Mapping of Phonon Transport from Ultrafast Electron Diffraction and Scientific Machine Learning
Machine learning on neutron and x-ray scattering and spectroscopies
Direct Prediction of Phonon Density of States With Euclidean Neural Networks.
2021cited by 28position: middle
Topological signatures in nodal semimetals through neutron scattering
Quantized thermoelectric Hall effect induces giant power factor in a topological semimetal
Topological Singularity Induced Chiral Kohn Anomaly in a Weyl Semimetal
Editors' Choice—Connecting Fuel Cell Catalyst Nanostructure and Accessibility Using Quantitative Cryo-STEM Tomography
Theory of electron–phonon–dislon interacting system—toward a quantized theory of dislocations
DSpace@MIT (Massachusetts Institute of Technology) 2017cited by 18position: middle
Theory of Electron-Phonon-Dislon Interacting System - Toward a Quantized Theory of Dislocations
Multicomponent Nanomaterials with Complex Networked Architectures from Orthogonal Degradation and Binary Metal Backfilling in ABC Triblock Terpolymers