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 86 Citations 27,074 470 World Ranking 734 National Ranking 289
Chemistry D-index 93 Citations 28,824 503 World Ranking 700 National Ranking 322

Research.com Recognitions

Awards & Achievements

2016 - Member of the National Academy of Engineering For design of macromolecular products and processes via scientific computation.

2011 - Fellow of the American Academy of Arts and Sciences

2004 - Fellow of American Physical Society (APS) Citation For the development and application of innovative simulation tools to problems in polymer physics

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Polymer
  • Thermodynamics

His main research concerns Polymer, Statistical physics, Chemical physics, Nanotechnology and Copolymer. His Polymer study combines topics in areas such as Crystallography, Nanoparticle, Nanocomposite and Molecular dynamics. His study on Statistical physics also encompasses disciplines like

  • Dynamic Monte Carlo method which connect with Hybrid Monte Carlo,
  • Parallel tempering that intertwine with fields like Lennard-Jones potential.

His Chemical physics study integrates concerns from other disciplines, such as Deposition, Dynamics, Amorphous solid, Vapour deposition and Kinetic energy. When carried out as part of a general Nanotechnology research project, his work on Self-assembly and Nanoscopic scale is frequently linked to work in Nanolithography, Context and Template, therefore connecting diverse disciplines of study. He interconnects Thin film, Polymer chemistry and Morphology in the investigation of issues within Copolymer.

His most cited work include:

  • Epitaxial self-assembly of block copolymers on lithographically defined nanopatterned substrates (1367 citations)
  • Directed assembly of block copolymer blends into nonregular device-oriented structures. (799 citations)
  • Directed self-assembly of block copolymers for nanolithography: fabrication of isolated features and essential integrated circuit geometries. (372 citations)

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

Juan J. de Pablo mostly deals with Chemical physics, Liquid crystal, Polymer, Nanotechnology and Statistical physics. His Chemical physics research incorporates elements of Work, Molecular dynamics, Phase, Molecule and Polyelectrolyte. His research in Liquid crystal intersects with topics in Crystallography, Nanoparticle and Topological defect.

His study on Polymer is mostly dedicated to connecting different topics, such as Thermodynamics. His Nanotechnology research is multidisciplinary, incorporating elements of Copolymer and Lithography. His studies examine the connections between Statistical physics and genetics, as well as such issues in Monte Carlo molecular modeling, with regards to Kinetic Monte Carlo.

He most often published in these fields:

  • Chemical physics (31.61%)
  • Liquid crystal (23.45%)
  • Polymer (19.94%)

What were the highlights of his more recent work (between 2018-2021)?

  • Chemical physics (31.61%)
  • Liquid crystal (23.45%)
  • Chemical engineering (11.16%)

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

His primary areas of study are Chemical physics, Liquid crystal, Chemical engineering, Polymer and Condensed matter physics. He combines subjects such as Phase transition, Work, Nucleation, Molecular dynamics and Molecule with his study of Chemical physics. His study looks at the intersection of Liquid crystal and topics like Dynamics with Rheology and Coacervate.

His Chemical engineering research incorporates themes from Copolymer, Ethylene oxide, Ion transporter, Liquid crystalline and Polyelectrolyte. His studies deal with areas such as Thin film and Phase as well as Copolymer. His research investigates the connection between Polymer and topics such as Brownian dynamics that intersect with problems in Statistical physics.

Between 2018 and 2021, his most popular works were:

  • New frontiers for the materials genome initiative (82 citations)
  • Recent advances in machine learning towards multiscale soft materials design (42 citations)
  • Recent advances in machine learning towards multiscale soft materials design (42 citations)

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

  • Quantum mechanics
  • Polymer
  • Thermodynamics

His scientific interests lie mostly in Chemical physics, Polymer, Liquid crystal, Molecular dynamics and Ion transporter. His Chemical physics research integrates issues from Phase transition, Deposition, Work, Nucleation and Anisotropy. His work on Conjugated system as part of general Polymer study is frequently linked to In silico, bridging the gap between disciplines.

The various areas that Juan J. de Pablo examines in his Liquid crystal study include Microfluidics, Doping and Microscale chemistry. The Molecular dynamics study combines topics in areas such as Minimum free energy, Dissociation, Dielectric, Mantle and Aqueous solution. His work in Chemical engineering covers topics such as Copolymer which are related to areas like Phase.

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

Epitaxial self-assembly of block copolymers on lithographically defined nanopatterned substrates

Sang Ouk Kim;Harun H. Solak;Mark P. Stoykovich;Nicola J. Ferrier.
Nature (2003)

1801 Citations

Density multiplication and improved lithography by directed block copolymer assembly

Paul Franklin Nealey;Huiman Kang;Francois Detcheverry;Juan J. Depablo.
Science (2008)

1262 Citations

Directed assembly of block copolymer blends into nonregular device-oriented structures.

Mark P. Stoykovich;Marcus Müller;Sang Ouk Kim;Harun H. Solak.
Science (2005)

1067 Citations

Dependence of the Glass Transition Temperature of Polymer Films on Interfacial Energy and Thickness

David S. Fryer;Richard D. Peters;Eui Jun Kim;Jeanne E. Tomaszewski.
Macromolecules (2001)

497 Citations

Directed self-assembly of block copolymers for nanolithography: fabrication of isolated features and essential integrated circuit geometries.

Mark P Stoykovich;Huiman Kang;Kostas Ch Daoulas;Guoliang Liu.
ACS Nano (2007)

476 Citations

Simulation of polyethylene above and below the melting point

Juan J. de Pablo;Manuel Laso;Ulrich W. Suter.
Journal of Chemical Physics (1992)

473 Citations

ON THE SIMULATION OF VAPOR-LIQUID EQUILIBRIA FOR ALKANES

Shyamal K. Nath;Fernando A. Escobedo;Juan J. de Pablo.
Journal of Chemical Physics (1998)

458 Citations

Thermal Probe Measurements of the Glass Transition Temperature for Ultrathin Polymer Films as a Function of Thickness

David S. Fryer;and Paul F. Nealey;Juan J. de Pablo.
Macromolecules (2000)

429 Citations

Hyper-parallel tempering Monte Carlo: Application to the Lennard-Jones fluid and the restricted primitive model

Qiliang Yan;Juan José de Pablo.
Journal of Chemical Physics (1999)

366 Citations

A coarse grain model for DNA.

Thomas A. Knotts;Nitin Rathore;David C. Schwartz;Juan J. de Pablo.
Journal of Chemical Physics (2007)

348 Citations

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