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Materials Science

D-Index
93
Citations
51283
World Ranking
1424
National Ranking
448

Overview

Shyue Ping Ong is affiliated with the University of California, San Diego in the United States. Their research primarily spans the disciplines of Engineering and Materials Science, with a significant focus on subfields including Electrical and Electronic Engineering, Materials Chemistry, Mechanical Engineering, Automotive Engineering, and Polymers and Plastics.

The scientist's work concentrates strongly on several main research topics:

  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Machine Learning in Materials Science
  • X-ray Diffraction in Crystallography
  • Advanced Battery Technologies Research
  • Transition Metal Oxide Nanomaterials
  • Electronic and Structural Properties of Oxides

Key publication venues where their research has appeared frequently include:

  • arXiv (Cornell University)
  • ECS Meeting Abstracts
  • npj Computational Materials
  • Chemistry of Materials
  • Nature Communications

Notable recent papers authored or coauthored by Shyue Ping Ong include:

  • "Recent advances and applications of deep learning methods in materials science," 2022, npj Computational Materials
  • "Performance and Cost Assessment of Machine Learning Interatomic Potentials," 2020, The Journal of Physical Chemistry A
  • "A universal graph deep learning interatomic potential for the periodic table," 2022, Nature Computational Science
  • "A Critical Review of Machine Learning of Energy Materials," 2020, Advanced Energy Materials
  • "A disordered rock salt anode for fast-charging lithium-ion batteries," 2020, Nature

Prominent frequent coauthors connected with their research efforts include Chi Chen, Ji Qi, Yunxing Zuo, Swastika Banerjee, and Xiangguo Li.

Best Publications

  • Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

    Anubhav Jain;Shyue Ping Ong;Geoffroy Hautier;Wei-Wei Chen

  • Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis

    Shyue Ping Ong;William Davidson Richards;Anubhav Jain;Geoffroy Hautier

  • Voltage, stability and diffusion barrier differences between sodium-ion and lithium-ion intercalation materials

    Shyue Ping Ong;Vincent L. Chevrier;Geoffroy Hautier;Anubhav Jain

  • Design principles for solid-state lithium superionic conductors

    Yan Wang;William Davidson Richards;Shyue Ping Ong;Shyue Ping Ong;Lincoln J. Miara

  • Formation enthalpies by mixing GGA and GGA + U calculations

    Anubhav Jain;Geoffroy Hautier;Shyue Ping Ong;Charles J. Moore

  • Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

    Chi Chen;Weike Ye;Yunxing Zuo;Chen Zheng

  • A high-throughput infrastructure for density functional theory calculations

    Anubhav Jain;Geoffroy Hautier;Charles J. Moore;Shyue Ping Ong

  • Surface energies of elemental crystals

    Richard Tran;Zihan Xu;Balachandran Radhakrishnan;Donald Winston

  • Recent Advances and Applications of Deep Learning Methods in Materials Science

    Kamal Choudhary;Brian DeCost;Chi Chen;Anubhav Jain

  • The Thermodynamic Scale of Inorganic Crystalline Metastability

    Wenhao Sun;Stephen Dacek;Shyue Ping Ong;Geoffroy Hautier

  • Performance and Cost Assessment of Machine Learning Interatomic Potentials.

    Yunxing Zuo;Chi Chen;Xiangguo Li;Zhi Deng

  • Li−Fe−P−O2 Phase Diagram from First Principles Calculations

    Shyue Ping Ong;Lei Wang;Byoungwoo Kang;Gerbrand Ceder

  • A universal graph deep learning interatomic potential for the periodic table

    Unknown

  • First Principles Study of the Li10GeP2S12 Lithium Super Ionic Conductor Material

    Yifei Mo;Shyue Ping Ong;Gerbrand Ceder

  • Phase stability, electrochemical stability and ionic conductivity of the Li10±1MP2X12 (M = Ge, Si, Sn, Al or P, and X = O, S or Se) family of superionic conductors

    Shyue Ping Ong;Yifei Mo;William Davidson Richards;Lincoln Miara

  • Accuracy of density functional theory in predicting formation energies of ternary oxides from binary oxides and its implication on phase stability

    Geoffroy Hautier;Shyue Ping Ong;Anubhav Jain;Charles J. Moore

  • A Critical Review of Machine Learning of Energy Materials

    Chi Chen;Yunxing Zuo;Weike Ye;Xiangguo Li

  • The Materials Application Programming Interface (API): A simple, flexible and efficient API for materials data based on REpresentational State Transfer (REST) principles

    Shyue Ping Ong;Shreyas Cholia;Anubhav Jain;Miriam Brafman

  • A disordered rock salt anode for fast-charging lithium-ion batteries

    Haodong Liu;Zhuoying Zhu;Qizhang Yan;Sicen Yu

  • Phosphates as Lithium-Ion Battery Cathodes: An Evaluation Based on High-Throughput ab Initio Calculations

    Geoffroy Hautier;Anubhav Jain;Shyue Ping Ong;Byoungwoo Kang

  • Electrochemical Windows of Room-Temperature Ionic Liquids from Molecular Dynamics and Density Functional Theory Calculations

    Shyue Ping Ong;Oliviero Andreussi;Yabi Wu;Nicola Marzari

  • Voltage, Stability and Diffusion Barrier Differences between Sodium-ion and Lithium-ion intercalation Materials

    S. Ong;V. Chevrier;A. Jain;Geoffroy Hautier

  • Surface energies of elemental crystals

    Richard Tran;Zihan Xu;Balachandran Radhakrishnan;Donald Winston

Frequent Co-Authors

Gerbrand Ceder
Gerbrand Ceder University of California, Berkeley
Kristin A. Persson
Kristin A. Persson Lawrence Berkeley National Laboratory
Geoffroy Hautier
Geoffroy Hautier Dartmouth College
Yifei Mo
Yifei Mo University of Maryland, College Park
Louis F. J. Piper
Louis F. J. Piper University of Warwick
Ying Shirley Meng
Ying Shirley Meng University of Chicago
M. Stanley Whittingham
M. Stanley Whittingham Binghamton University
Jian Luo
Jian Luo University of California, San Diego
Karena W. Chapman
Karena W. Chapman Stony Brook University

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