D-Index & Metrics Best Publications

D-Index & Metrics 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.

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
Engineering and Technology D-index 42 Citations 7,005 113 World Ranking 3161 National Ranking 1134

Overview

What is he best known for?

The fields of study he is best known for:

  • Thermodynamics
  • Organic chemistry
  • Molecule

His primary areas of study are Thermodynamics, Statistical physics, Thermal diffusivity, Surface tension and Phase. His studies examine the connections between Thermodynamics and genetics, as well as such issues in Mechanics, with regards to Colloid. His work deals with themes such as Kinetic Monte Carlo, Monte Carlo molecular modeling, Phase diagram, Lennard-Jones potential and Hybrid Monte Carlo, which intersect with Statistical physics.

His study in Thermal diffusivity is interdisciplinary in nature, drawing from both Properties of water, Ideal gas, Supercooling and Molecular dynamics. His research investigates the link between Molecular dynamics and topics such as Kinetic energy that cross with problems in Molecule. His Phase research incorporates elements of Test particle, Canonical ensemble and Methane.

His most cited work include:

  • Relationship between structural order and the anomalies of liquid water (974 citations)
  • Direct calculation of liquid–vapor phase equilibria from transition matrix Monte Carlo simulation (226 citations)
  • A Fixed Point Charge Model for Water Optimized to the Vapor−Liquid Coexistence Properties (153 citations)

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

Thermodynamics, Statistical physics, Wetting, Thermal diffusivity and Molecular dynamics are his primary areas of study. The various areas that Jeffrey R. Errington examines in his Thermodynamics study include Saturation, Molecule, Phase and Properties of water. His research in Statistical physics intersects with topics in Series, Dynamic Monte Carlo method, Lennard-Jones potential and Phase diagram.

The study incorporates disciplines such as Monatomic ion, Contact angle and Surface tension in addition to Wetting. The concepts of his Thermal diffusivity study are interwoven with issues in Atomic packing factor, Hard spheres and Density functional theory. His Molecular dynamics study combines topics in areas such as Mechanics, Adsorption and Kinetic energy.

He most often published in these fields:

  • Thermodynamics (48.28%)
  • Statistical physics (45.52%)
  • Wetting (16.55%)

What were the highlights of his more recent work (between 2012-2020)?

  • Thermodynamics (48.28%)
  • Wetting (16.55%)
  • Statistical physics (45.52%)

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

His main research concerns Thermodynamics, Wetting, Statistical physics, Contact angle and Surface tension. His studies in Thermodynamics integrate themes in fields like Saturation, Computational chemistry, Molecular dynamics and Adsorption. His Wetting research is multidisciplinary, incorporating perspectives in Molecular simulation, Octane and Lennard-Jones potential.

He integrates Statistical physics with Isotropy in his research. His biological study spans a wide range of topics, including Mechanics, Substrate and Gibbs isotherm. His work is dedicated to discovering how Surface tension, Electrostatics are connected with Ionic bonding and other disciplines.

Between 2012 and 2020, his most popular works were:

  • Monte Carlo Simulation Methods for Computing Liquid-Vapor Saturation Properties of Model Systems. (64 citations)
  • Predicting how nanoconfinement changes the relaxation time of a supercooled liquid. (60 citations)
  • Inverse design of simple pairwise interactions with low-coordinated 3D lattice ground states (59 citations)

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

  • Thermodynamics
  • Organic chemistry
  • Molecule

The scientist’s investigation covers issues in Statistical physics, Isotropy, Diamond, Thermodynamics and Saturation. The Statistical physics study combines topics in areas such as Cluster expansion, Monte Carlo molecular modeling and Dynamic Monte Carlo method. His Thermodynamics study integrates concerns from other disciplines, such as Molecular simulation, Graphite and Surface strength.

His Saturation research is multidisciplinary, relying on both Vaporization and Liquid vapor. Polyelectrolyte is closely connected to Phase in his research, which is encompassed under the umbrella topic of Reentrancy. His Phase diagram research includes themes of Chemical physics, Multibody simulation, Metastability and Cluster.

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

Relationship between structural order and the anomalies of liquid water

Jeffrey R. Errington;Pablo G. Debenedetti.
Nature (2001)

1461 Citations

Direct calculation of liquid–vapor phase equilibria from transition matrix Monte Carlo simulation

Jeffrey R. Errington.
Journal of Chemical Physics (2003)

337 Citations

A Fixed Point Charge Model for Water Optimized to the Vapor−Liquid Coexistence Properties

Jeffrey R. Errington;Athanassios Z. Panagiotopoulos.
Journal of Physical Chemistry B (1998)

219 Citations

A computational study of hydration, solution structure, and dynamics in dilute carbohydrate solutions.

Sau Lawrence Lee;Pablo G. Debenedetti;Jeffrey R. Errington.
Journal of Chemical Physics (2005)

199 Citations

Surface tension and vapor-liquid phase coexistence of the square-well fluid

J.K. Singh;D.A. Kofke;J.R. Errington.
Scopus (2003)

196 Citations

Layering and position-dependent diffusive dynamics of confined fluids

Jeetain Mittal;Thomas M. Truskett;Jeffrey R. Errington;Gerhard Hummer.
Physical Review Letters (2008)

189 Citations

Evaluating surface tension using grand-canonical transition-matrix Monte Carlo simulation and finite-size scaling.

J.R. Errington.
Physical Review E (2003)

188 Citations

Molecular simulation of phase equilibria for mixtures of polar and non-polar components

J. J. Potoff;J. R. Errington;Athanassios Z. Panagiotopoulos.
Molecular Physics (1999)

188 Citations

Excess-entropy-based anomalies for a waterlike fluid.

Jeffrey R. Errington;Thomas M. Truskett;Jeetain Mittal.
Journal of Chemical Physics (2006)

185 Citations

Thermodynamics predicts how confinement modifies the dynamics of the equilibrium hard-sphere fluid.

Jeetain Mittal;Jeffrey R. Errington;Thomas M. Truskett.
Physical Review Letters (2006)

165 Citations

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