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Materials Science

D-Index
128
Citations
66853
World Ranking
372
National Ranking
142

Chemistry

D-Index
122
Citations
63039
World Ranking
449
National Ranking
193

Research.com Recognitions

  • 2018 - ASM Fellow “For innovative development and use of first principle atomistic and multi-scale computational 

Overview

Chris Wolverton is affiliated with Northwestern University in the United States and has contributed extensively to research in materials science. Their work spans a broad range of topics within this field, with significant focus on materials chemistry and related subfields.

Their recent publications include:

  • Recent advances and applications of deep learning methods in materials science, 2022, npj Computational Materials
  • Electronic-structure methods for materials design, 2021, Nature Materials
  • Particlelike Phonon Propagation Dominates Ultralow Lattice Thermal Conductivity in Crystalline Tl3VSe4, 2020, Physical Review Letters
  • High Thermoelectric Performance in the New Cubic Semiconductor AgSnSbSe3 by High-Entropy Engineering, 2020, Journal of the American Chemical Society
  • High-Throughput Study of Lattice Thermal Conductivity in Binary Rocksalt and Zinc Blende Compounds Including Higher-Order Anharmonicity, 2020, Physical Review X

The frequent coauthors collaborating with Chris Wolverton include:

  • Sean D. Griesemer
  • Logan Ward
  • Mercouri G. Kanatzidis
  • Jiahong Shen
  • Yi Xia

The scientist's contributions have been published across several venues, notably:

  • The Cambridge Structural Database
  • Chemistry of Materials
  • arXiv (Cornell University)
  • Journal of the American Chemical Society
  • npj Computational Materials

Chris Wolverton's main field of study is Materials Science, with a particular emphasis on:

  • Materials Chemistry
  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering
  • Inorganic Chemistry
  • Biomedical Engineering

The primary topics of their research include:

  • X-ray Diffraction in Crystallography
  • Crystallization and Solubility Studies
  • Machine Learning in Materials Science
  • Advanced Thermoelectric Materials and Devices
  • Thermal properties of materials
  • Electronic and Structural Properties of Oxides
  • Inorganic Chemistry and Materials

In recognition of their work, Chris Wolverton was awarded the ASM Fellow in 2018 for innovative development and use of first principle atomistic and multi-scale computational methods.

Best Publications

  • Ultralow thermal conductivity and high thermoelectric figure of merit in SnSe crystals

    Li Dong Zhao;Shih Han Lo;Yongsheng Zhang;Hui Sun

  • Electrical energy storage for transportation—approaching the limits of, and going beyond, lithium-ion batteries

    Michael M. Thackeray;Christopher Wolverton;Eric D. Isaacs

  • Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)

    James E. Saal;Scott Kirklin;Muratahan Aykol;Bryce Meredig

  • The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies

    Scott Kirklin;J. E. Saal;Bryce Meredig;A. Thompson

  • Ultrahigh power factor and thermoelectric performance in hole-doped single-crystal SnSe

    Li Dong Zhao;Li Dong Zhao;Gangjian Tan;Shiqiang Hao;Jiaqing He

  • A general-purpose machine learning framework for predicting properties of inorganic materials

    Logan Ward;Ankit Agrawal;Alok Nidhi Choudhary;Christopher M Wolverton

  • High capacity hydrogen storage materials: attributes for automotive applications and techniques for materials discovery

    Jun Jun Yang;Andrea C Sudik;Christopher Wolverton;Donald J. Siegel

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

    Kamal Choudhary;Brian DeCost;Chi Chen;Anubhav Jain

  • All-scale hierarchical thermoelectrics: MgTe in PbTe facilitates valence band convergence and suppresses bipolar thermal transport for high performance

    L. D. Zhao;H. J. Wu;S. Q. Hao;C. I. Wu

  • Combinatorial screening for new materials in unconstrained composition space with machine learning

    Bryce Meredig;Amit K Agrawal;Scott Kirklin;James E. Saal

  • High Thermoelectric Performance of p-Type SnTe via a Synergistic Band Engineering and Nanostructuring Approach

    Gangjian Tan;Li Dong Zhao;Fengyuan Shi;Jeff W. Doak

  • Non-equilibrium processing leads to record high thermoelectric figure of merit in PbTe-SrTe.

    Gangjian Tan;Fengyuan Shi;Shiqiang Hao;Li Dong Zhao;Li Dong Zhao

  • Gravity-regulated differential auxin transport from columella to lateral root cap cells

    Iris Ottenschläger;Patricia Wolff;Chris Wolverton;Rishikesh P. Bhalerao

  • Crystal structure and stability of complex precipitate phases in Al–Cu–Mg–(Si) and Al–Zn–Mg alloys

    C. Wolverton

  • Developing an improved crystal graph convolutional neural network framework for accelerated materials discovery

    Cheol Woo Park;Chris Wolverton

  • Codoping in SnTe: Enhancement of Thermoelectric Performance through Synergy of Resonance Levels and Band Convergence

    Gangjian Tan;Fengyuan Shi;Shiqiang Hao;Hang Chi

  • High-throughput DFT calculations of formation energy, stability and oxygen vacancy formation energy of ABO 3 perovskites.

    Antoine A. Emery;Chris Wolverton

  • ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition.

    Dipendra Jha;Logan Ward;Arindam Paul;Wei-Keng Liao

  • Solute-vacancy binding in aluminum

    C. Wolverton

  • Toward Computational Materials Design: The Impact of Density Functional Theory on Materials Research

    Jürgen Hafner;Christopher Wolverton;Gerbrand Ceder

  • High thermoelectric performance via hierarchical compositionally alloyed nanostructures

    Li Dong Zhao;Shiqiang Hao;Shih Han Lo;Chun I. Wu

  • First-principles study of crystal structure and stability of Al-Mg-Si-(Cu) precipitates

    C. Ravi;C. Ravi;C. Wolverton

  • Forward for Symposium “Approaches for Investigating Phase Transformations at the Atomic Scale

    Neal D. Evans;Neal D. Evans;Francisca Caballero;Christopher M Wolverton;David N Seidman

Frequent Co-Authors

Vinayak P. Dravid
Vinayak P. Dravid Northwestern University
Mercouri G. Kanatzidis
Mercouri G. Kanatzidis Northwestern University
Ctirad Uher
Ctirad Uher University of Michigan–Ann Arbor
D. de Fontaine
D. de Fontaine University of California, Berkeley
Alex Zunger
Alex Zunger University of Colorado Boulder
Gangjian Tan
Gangjian Tan Wuhan University of Technology
Li-Dong Zhao
Li-Dong Zhao Beihang University
Michael M. Thackeray
Michael M. Thackeray Argonne National Laboratory
Xianli Su
Xianli Su Wuhan University of Technology
G. Jeffrey Snyder
G. Jeffrey Snyder Northwestern University

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