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Ravishankar Sundararaman

  1. Atomate2: modular workflows for materials science
    2025/01/01 by Alex M. Ganose, Hrushikesh Sahasrabuddhe, Mark Asta +53 · 2 voices · 11 citations
    Chemical Engineering · Decision Sciences · Materials Science · #Catalysis and Oxidation Reactions #Machine Learning in Materials Science #Scientific Computing and Data Management
  2. How Spin Relaxes and Dephases in Bulk Halide Perovskites
    2022/10/31 by Junqing Xu, Xu, Junqing, Kejun Li +10 · 6 citations
    Engineering · Materials Science · Physics and Astronomy · #Advanced Condensed Matter Physics #FOS: Physical sciences #Magnetic and transport properties of perovskites and related materials #Materials Science (cond-mat.mtrl-sci) #Perovskite Materials and Applications
  3. Topological Metal MoP Nanowire for Interconnect
    2022/08/04 by Hyeuk Jin Han, Sushant Kumar, Han, Hyeuk Jin +21 · 2 citations
    Materials Science · Physics and Astronomy · #FOS: Physical sciences #Graphene research and applications #Magnetic properties of thin films #Materials Science (cond-mat.mtrl-sci) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Surface and Thin Film Phenomena
  4. Distinguishing Inner and Outer-Sphere Hot Electron Transfer in Au/p-GaN Photocathodes
    2024/07/15 by Fatemeh Kiani, Alan R. Bowman, Kiani, Fatemeh +7 · 2 citations
    Engineering · Materials Science · Physics and Astronomy · #Chemical Physics (physics.chem-ph) #Electron and X-Ray Spectroscopy Techniques #FOS: Physical sciences #GaN-based semiconductor devices and materials #Photocathodes and Microchannel Plates
  5. Static Subspace Approximation for Random Phase Approximation Correlation Energies: Implementation and Performance
    2024/05/30 by Daniel Weinberg, Olivia Hull, Weinberg, Daniel +9 · 2 citations
    Computer Science · Engineering · #Engineering Applied Research #FOS: Physical sciences #Machine Learning and ELM #Materials Science (cond-mat.mtrl-sci) #Speech Recognition and Synthesis
  6. Improving the reliability of machine learned potentials for modeling inhomogenous liquids
    2023/06/01 by Kamron Fazel, Fazel, Kamron, Nima Karimitari +7 · 1 citation
    Chemistry · Materials Science · Physics and Astronomy · #Electrostatics and Colloid Interactions #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Spectroscopy and Quantum Chemical Studies
  7. Spin Dynamics in Hybrid Halide Perovskites -- Effect of Dynamical and Permanent Symmetry Breaking
    2024/09/20 by Kejun Li, Junqing Xu, Li, Kejun +17 · 2 citations
    Engineering · #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Perovskite Materials and Applications
  8. Atomate2: Modular workflows for materials science
    2025/01/22 by Alex M. Ganose, Hrushikesh Sahasrabuddhe, Mark Asta +51 · 1 voice · 2 citations
    Materials Science · #Machine Learning in Materials Science
  9. Electron mobility in graphene without invoking the Dirac equation
    2019/03/19 by Chaitanya K. Ullal, Jian Shi, Ravishankar Sundararaman · 1 citation
    Materials Science · Engineering · #Graphene research and applications #Advancements in Battery Materials #Carbon Nanotubes in Composites