John Low

John Low Email and Phone Number

Principal Computational Science Specialist at Argonne National Laboratory @ Argonne National Laboratory
Schaumburg, IL, US
John Low's Location
Schaumburg, Illinois, United States, United States
About John Low

Modeling catalysts and adsorbents at the atomic scale using quantum chemistry, molecular dynamics and Monte Carlo Methods.Coauthored successful DOE proposals to develop new materials for hydrogen storage and separating carbon dioxide from flue gas. These multidisciplinary projects involved experimentalist, chemical engineers and theoreticians from industry and universities.Expert at using molecular modeling software, such as Materials Studio, DMOL3, VASP, DL-POLY, Cerius2, InsightII, NWCHEM, GULP, and Gaussian03Using and maintaining multiprocessor LINUX servers.Specialties: Quantum ChemistryMolecular DynamicsMonte Carlo MethodsMolecular VisualizationLinux System AdministrationFortran90Unix Shell Scripts

John Low's Current Company Details
Argonne National Laboratory

Argonne National Laboratory

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Principal Computational Science Specialist at Argonne National Laboratory
Schaumburg, IL, US
Website:
anl.gov
Employees:
5085
John Low Work Experience Details
  • Argonne National Laboratory
    Argonne National Laboratory
    Schaumburg, Il, Us
  • Argonne National Laboratory
    Principal Computational Science Specialist
    Argonne National Laboratory Mar 2013 - Present
    Lemont, Il, Us
    Deploy, improve and support Laboratory computational science and engineering applications by working with scientists and engineers to isolate problems, extend functionality, and enhance performance of computational science and engineering codes.Seek out and develop new strategies and techniques for advanced applications that areapplicable to Argonne`s research disciplines.Develop partnerships and perform research with research scientists at the Laboratory in support of scientific discovery through computational modeling and simulation in areas of domain expertise (e.g., chemistry, materials science and nanoscience),Work with systems engineers and computational scientists to solve user problems, manage the tools and applications that support users, and improve performance of these systems.
  • Argonne National Laboratory
    Computational Scientist
    Argonne National Laboratory Feb 2010 - Mar 2013
    Lemont, Il, Us
    Support computational chemistry programs on high performance computers.Apply Ab Initio Molecular Dynamics to reactions in converting biomass to fuel and Li-ion batteries.
  • Uop
    Lead Research Scientist
    Uop Jul 1985 - Aug 2009
    Charlotte, North Carolina, Us
    Applied molecular modeling to zeolites, catalysts, sorbents, metal hydrides, methane activation, hydrocarbon oxidation and metal organic frameworks. Developed methods to scan the predicted properties of zeolitic sorbents for air separation, complex hydrides for hydrogen storage and hydrothermal stability of metal organic frameworks (MOFs). Coauthored a proposal to develop MOFs for CO2 separation from flue gas which resulted in $5M of funding from DOE. This project led to the discovery of a metal organic framework which could economically separate CO2 flue gas. Coauthored a $5M proposal to DOE to discover novel complex hydrides for hydrogen storage through combinatorial chemistry and molecular modeling. The hydrogen storage project discovered a novel reversible ternary mixture of complex hydrides. Coauthored 22 publications and patents.
  • Uop
    Senior Research Chemist
    Uop 1985 - 2009
    Charlotte, North Carolina, Us
    Modeled supported metal nanoparticles in reforming catalysts.Modeled solid acid catalysts.Developed the use of X-ray Adsorption Spectroscopy as a characterization technique.Developed the use of Liquid Calorimetry as a characterization method.Coauthored a report on "Materials-by-Design" for DOE.
  • California Institute Of Technology
    Graduate Research And Teaching Assitant
    California Institute Of Technology Sep 1979 - May 1985
    Pasadena, Ca, Us
    Modeled oxidative addition and reductive elimination in organometallic complexes.Modeled chemisorbed species on Ni clusters.Modeled desorption from surfaces using the generalized Langevin equation.System Manager of the Chemistry Department VAX 11/780Developed software to automatically optimize geometries with analytic gradients.

John Low Skills

Catalysis Materials Science Computational Chemistry Chemistry Characterization Molecular Modeling Quantum Chemistry Molecular Dynamics Simulations Fortran Organic Chemistry Scientific Computing Science R&d High Performance Computing Nanotechnology Research Physical Chemistry Materials Nanoparticles Inorganic Chemistry Organometallic Chemistry Heterogeneous Catalysis Surface Chemistry Modeling Programming Density Functional Theory Data Analysis Theoretical Chemistry Numerical Analysis Linux Technical Writing Project Management Zeolites Hydrogen Storage Computational Materials Science Gaussian 03 Monte Carlo Simulation Unix Shell Scripting Theory Energy Materials Studio Vmd Adsorption Electronic Structure Simulation Mathematics Ms Project Vasp Virtual Screening

John Low Education Details

  • Caltech
    Caltech
    Chemistry
  • Stony Brook University
    Stony Brook University
    Chemistry

Frequently Asked Questions about John Low

What company does John Low work for?

John Low works for Argonne National Laboratory

What is John Low's role at the current company?

John Low's current role is Principal Computational Science Specialist at Argonne National Laboratory.

What is John Low's email address?

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What is John Low's direct phone number?

John Low's direct phone number is +122453*****

What schools did John Low attend?

John Low attended Caltech, Stony Brook University.

What are some of John Low's interests?

John Low has interest in Career, Kids, Cooking, Exercise, Investing, Outdoors, Electronics, Home Improvement, Shooting, Crafts.

What skills is John Low known for?

John Low has skills like Catalysis, Materials Science, Computational Chemistry, Chemistry, Characterization, Molecular Modeling, Quantum Chemistry, Molecular Dynamics, Simulations, Fortran, Organic Chemistry, Scientific Computing.

Who are John Low's colleagues?

John Low's colleagues are Tiffany Kinnibrugh, Muchuan Hua, Yash Yardi, Haiping Xu, Tracy Lavaan Rogness, Raphael London, Elaine Slavik.

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