D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Materials Science D-index 52 Citations 13,388 240 World Ranking 5097 National Ranking 1433
Chemistry D-index 56 Citations 15,977 206 World Ranking 6245 National Ranking 1938

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Electron
  • Oxygen

Dane Morgan focuses on Ab initio, Density functional theory, Thermodynamics, Condensed matter physics and Ion. His Ab initio research includes elements of Ab initio quantum chemistry methods, Electronic structure, Crystal structure prediction, Computation and Vacancy defect. His study in Density functional theory is interdisciplinary in nature, drawing from both Nanotechnology, Perovskite, Atomic physics, Analytical chemistry and Chemical stability.

His Analytical chemistry research integrates issues from Electrocatalyst, Thermal diffusivity and Electrical resistivity and conductivity. His Thermodynamics research also works with subjects such as

  • Crystal structure together with Inorganic chemistry and Intercalation,
  • Transition metal that intertwine with fields like Niobium and Intermetallic. His Ion research incorporates elements of Cathode, Spinel, Electrochemistry and Phase.

His most cited work include:

  • First-principles study of native point defects in ZnO (1383 citations)
  • Instability of Pt ∕ C Electrocatalysts in Proton Exchange Membrane Fuel Cells A Mechanistic Investigation (1098 citations)
  • Li Conductivity in Li x MPO 4 ( M = Mn , Fe , Co , Ni ) Olivine Materials (818 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Density functional theory, Thermodynamics, Ab initio, Cathode and Chemical physics. His Density functional theory research is multidisciplinary, incorporating elements of Work, Transition metal, Electronic structure, Perovskite and Atomic physics. He has researched Thermodynamics in several fields, including Phase, CALPHAD, Phase diagram, Diffusion and Vacancy defect.

His studies deal with areas such as Crystallography, Inorganic chemistry and Ab initio quantum chemistry methods as well as Ab initio. His biological study spans a wide range of topics, including Thermionic emission, Electron, Work function, Analytical chemistry and Chemical engineering. The study incorporates disciplines such as Oxide, Catalysis and Oxygen in addition to Chemical engineering.

He most often published in these fields:

  • Density functional theory (19.44%)
  • Thermodynamics (18.27%)
  • Ab initio (18.27%)

What were the highlights of his more recent work (between 2017-2021)?

  • Density functional theory (19.44%)
  • Artificial intelligence (3.98%)
  • Chemical physics (13.11%)

In recent papers he was focusing on the following fields of study:

Dane Morgan spends much of his time researching Density functional theory, Artificial intelligence, Chemical physics, Thermodynamics and Machine learning. His research on Density functional theory also deals with topics like

  • Perovskite together with Oxide, Catalysis, Optoelectronics, Chemical stability and Electronic structure,
  • Electron, which have a strong connection to Tungsten and Molecular physics. His research integrates issues of Vacancy defect, Order of magnitude, Activation energy and Diffusion in his study of Chemical physics.

His work deals with themes such as Ab initio, Phase and Irradiation, which intersect with Thermodynamics. Ab initio is closely attributed to Metal in his research. Dane Morgan combines subjects such as Chemical engineering and Oxygen with his study of Cathode.

Between 2017 and 2021, his most popular works were:

  • New frontiers for the materials genome initiative (82 citations)
  • Predicting the thermodynamic stability of perovskite oxides using machine learning models (55 citations)
  • Material Discovery and Design Principles for Stable, High Activity Perovskite Cathodes for Solid Oxide Fuel Cells (52 citations)

In his most recent research, the most cited papers focused on:

  • Quantum mechanics
  • Electron
  • Oxygen

Dane Morgan mainly focuses on Irradiation, Chemical physics, Artificial intelligence, Perovskite and Oxide. Dane Morgan has included themes like Precipitation, Metal, Analytical chemistry, Ion and Vacancy defect in his Irradiation study. His study on Metal also encompasses disciplines like

  • Interstitial defect which intersects with area such as Thermodynamics,
  • Carbon which is related to area like Ab initio.

His study in the field of Diffusion is also linked to topics like Kinetic Monte Carlo. His Perovskite study integrates concerns from other disciplines, such as Chemical stability, Halide, Electronic structure, Catalysis and Density functional theory. His Oxide study incorporates themes from Thin film and Oxygen.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

First-principles study of native point defects in ZnO

A. F. Kohan;G. Ceder;D. Morgan;Chris G. Van de Walle.
Physical Review B (2000)

1909 Citations

Li Conductivity in Li x MPO 4 ( M = Mn , Fe , Co , Ni ) Olivine Materials

D Morgan;A J Van Der Ven;G Ceder.
Electrochemical and Solid State Letters (2004)

1194 Citations

Instability of Pt ∕ C Electrocatalysts in Proton Exchange Membrane Fuel Cells A Mechanistic Investigation

P. J. Ferreira;Y. Shao-Horn;D. Morgan.
Journal of The Electrochemical Society (2005)

1101 Citations

Instability of Supported Platinum Nanoparticles in Low-Temperature Fuel Cells

Y. Shao-Horn;W. C. Sheng;S. Chen;Paulo J Ferreira.
Topics in Catalysis (2007)

905 Citations

First-principles prediction of redox potentials in transition-metal compounds with LDA+ U

Fei Zhou;Matteo Cococcioni;Chris A. Marianetti;Dane Morgan.
Physical Review B (2004)

798 Citations

Ab initio energetics of LaBO3(001) (B=Mn, Fe, Co, and Ni) for solid oxide fuel cell cathodes

Yueh-Lin Lee;Jesper Kleis;Jan Rossmeisl;Dane Morgan.
Physical Review B (2009)

434 Citations

Predicting crystal structure by merging data mining with quantum mechanics.

Christopher C. Fischer;Kevin J. Tibbetts;Dane Morgan;Gerbrand Ceder.
Nature Materials (2006)

422 Citations

Predicting crystal structures with data mining of quantum calculations.

Stefano Curtarolo;Dane Morgan;Kristin Persson;John Rodgers.
Physical Review Letters (2003)

403 Citations

The electronic structure and band gap of LiFePO4 and LiMnPO4

Fei Zhou;Kisuk Kang;Thomas Maxisch;Gerbrand Ceder.
Solid State Communications (2004)

394 Citations

Accuracy of ab initio methods in predicting the crystal structures of metals: A review of 80 binary alloys

Stefano Curtarolo;Dane Morgan;Gerbrand Ceder.
Calphad-computer Coupling of Phase Diagrams and Thermochemistry (2005)

352 Citations

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