Faculty

Tim Mueller

Assistant Professor

Research Interests

Computational Materials Science, Nanomaterials, and Materials for Energy

Timothy Mueller is an assistant professor in the Department of Materials Science and Engineering. His research focuses on computational materials science, nanomaterials, materials informatics, and materials for energy storage and conversion. He came to Johns Hopkins in 2012 from the Massachusetts Institute of Technology, where he was a postdoctoral associate. He earned his doctorate there in 2007.

Education
  • Ph.D. 2007, Mass. Institute of Technology (MIT)
  • Bachelor of Arts 1998, Harvard University
Experience
  • 2018 - 2019:  Master of Science in Engineering Management (MSEM) Advisor, Department of Materials Science and Engineering, Johns Hopkins University
  • 2015 - Present:  Master's Degree Advisor, Department of Materials Science and Engineering, Johns Hopkins University
  • 2010 - 2011:  Postdoctoral Associate, Massachusetts Institute of Technology, Cambridge, MA
  • 2009 - 2010:  Co-founder, Pellion Technologies, Inc., Cambridge, MA
  • 2008 - 2010:  Consultant, Computational Modeling Consultants, LLC, Cambridge, MA
  • 2007 - 2010:  Postdoctoral Associate / Visiting Scientist, Massachusetts Institute of Technology, Cambridge, MA
  • 2007 - 2009:  Teaching Assistant, Massachusetts Institute of Technology, Cambridge, MA
  • 2002 - 2007:  Research Assistant, Massachusetts Institute of Technology, Cambridge, MA
  • 1999 - 2001:  Pre-sales Consultant, Trilogy Software, Paris, France
  • 1998 - 1999:  Systems Integration Consultant, Trilogy Software, Austin, TX
  • 1996 - 1998:  Teaching Fellow, Harvard University, Cambridge, MA
  • 1995 - 1998:  Research Assistant, Harvard University, Cambridge, MA
Research Areas
  • Energy storage and convesion
  • Materials informatics
  • Nanoscale materials
Awards
  • 2014:  NSF CAREER Award
  • 2002:  John F. Elliott Graduate Fellowship (Massachusetts Institute of Technology)
  • 1998:  Certificate for Distinction in Teaching (Harvard University)
  • 1998:  Thomas T. Hoopes Prize (Harvard University)
  • 1997:  Certificate for Distinction in Teaching (Harvard University)
  • "Fast and accurate interatomic potentials by symbolic regression", The Molecular Sciences Software Institute Workshop on Machine Learning and Chemistry.  College Park Maryland, United States of America (the).  January 1, 2019
  • "Rational Design of Surfaces and Nanoparticles Using Cluster Expansions", The Minerals, Metals & Materials Society.  San Antonio Texas, United States of America (the).  January 1, 2019
  • "The creation of catalytic activity maps for alloy phase diagrams", Fall Meeting of the Electrochemical Society.  United States of America (the).  January 1, 2019
  • "Accelerating atomic-scale materials design through machine learning", Center for Heirarchical Materials Design.  January 1, 2019
  • "Rational Design of Alloy Catalysts", The American Institute of Chemical Engineers Annual Meeting.  United States of America (the).  January 1, 2019
  • "Rational Design of Alloy Catalysts by Simultaneously Addressing Strain and Ensemble Effects", Fall Meeting of the Materials Research Society.  United States of America (the).  January 1, 2019
  • "Fast and Accurate Interatomic Potentials by Genetic Programming", Foundational and Applied Data Science for Molecular and Materials Science and Engineering.  Bethlehem Pennsylvania, United States of America (the).  January 1, 2019
  • "Fast and Accurate Interatomic Potentials by Genetic Programming", Artificial Intelligence for Materials Science Workshop.  Gaithersburg Maryland, United States of America (the).  January 1, 2019
  • "Panelist", The Artificial Intelligence for Materials Science Workshop.  Gaithersburg Maryland, United States of America (the).  January 1, 2019
  • "Fast and Accurate Interatomic Potentials by Genetic Programming", Artificial Intelligence in Science and Engineering Town Hall Meeting Series.  Lemont Illinois, United States of America (the).  January 1, 2019
  • "Fast and Accurate Interatomic Potentials by Genetic Programming", American Chemical Society Fall meeting.  San Diego California, United States of America (the).  January 1, 2019
  • "“The Effective Use of Data in Materials Research” BASF Catalysts Division".  January 1, 2018
  • "“The Effective Use of Data in Materials Research” University of California Santa Barbara Materials Department".  January 1, 2018
  • "“The Effective Use of Data in Materials Research” Machine Learning in Science and Engineering, Carnegie Mellon University".  January 1, 2018
  • "“The Effective Use of Data in Materials Research” International Materials Research Society Meeting".  January 1, 2018
  • "“The Effective Use of Data in Materials Research” Johns Hopkins Department of Materials Science and Engineering".  January 1, 2018
  • ""The Effective Use of Data in Materials Research” University of Maryland Baltimore County Department of Physics".  January 1, 2018
  • "“The use of machine learning and informatics to design material interfaces” 2nd International Workshop on Phase Interfaces for Highly Efficient Energy Utilization", 2nd International Workshop on Phase Interfaces for Highly Efficient Energy Utilization.  January 1, 2018
  • "“The Use of Cluster Expansions to Predict the Structure and Properties of Catalysts” The Minerals, Metals & Materials Society (TMS) meeting".  January 1, 2018
  • "The use of machine learning to develop models of nanoscale materials from first principles", NSF Nanoscale Science and Engineering Grantees Conference.  December 12, 2017
  • "The effective use of data in materials research", Materials Science & Technology 2017.  October 11, 2017
  • "Practical applications of Bayesian cluster expansions", NOMAD summer.  September 27, 2017
  • "The effective use of data in materials research".  September 12, 2017
  • "Predicting the structure and properties of nanoscale materials through ab-initio calculations and machine learning".  July 13, 2017
  • "Accelerating materials research through the effective use of data", American Chemical Society spring meeting.  April 2, 2017
  • "The effective use of data in materials research", 57th Sanibel Symposium.  February 21, 2017
  • "The effective use of data in materials research", 2017 Workshop on Simulation and Modeling of Emerging Electronics.  January 12, 2017
  • "Design of Nanoscale Cu-Based Catalysts from First Principles", NSF Nanoscale Science and Engineering Grantees Conference.  January 1, 2017
  • "The effective use of data in materials research”", Materials Science & Technology 2017.  January 1, 2017
  • "Applications of Supervised Machine Learning to Materials Research", Workshop on Machine Learning for Materials Research.  The University of Maryland College Park.  January 1, 2016
  • "The effective use of data in materials research".  McGill University, Department of Materials Engineering.  January 1, 2016
  • "Towards the Rational Design of Alloy Catalysts for the Oxygen Reduction Reaction", Fall meeting of the Materials Research Society.  January 1, 2016
  • "Accelerating materials research through the effective use of data", American Chemical Society fall meeting.  January 1, 2016
  • "A tool for accelerating material calculations through the generation of highly efficient k-point grids", March meeting of the American Physical Society.  January 1, 2016
  • "Accelerated Calculations through the Use of Efficient k-Point Grids", Spring meeting of the Materials Research Society.  January 1, 2016
  • "Materials Research in the Age of Big Data", Interagency Coordinating Committee on Ceramic Research and Development.  January 1, 2015
  • "Accelerating materials research through machine learning", Pacifichem 2015.  January 1, 2015
  • "Identification of descriptors using genetic programming", CECAM workshop on Big Data of Materials Science -- Critical Next Steps.  January 1, 2015
  • "Structural Descriptors for Hole Traps in Hydrogenated Amorphous Silicon Revealed through Machine Learning", Fall Meeting.  January 1, 2014
  • "The Origins of Hole Traps in Hydrogenated Nanocrystalline and Amorphous Silicon Revealed through Machine Learning", Conference on Electronic Materials and Applications.  January 1, 2014
  • "Machine Learning in Materials Science and Engineering".  January 1, 2014
  • "Designing Materials for a Sustainable Fuel Cycle", E2SHI Seminar.  January 1, 2014
  • "Ensemble Effects in Cu-alloy Catalysts for CO2 Reduction", ACS Fall Meeting.  January 1, 2014
  • "Quantum Monte Carlo for Materials Design", Spring Meeting.  January 1, 2014
  • "Structural Descriptors for Hole Traps in Hydrogenated Amorphous Silicon Revealed through Machine Learning", Annual Meeting.  January 1, 2014
  • "Quantum Monte Carlo for Materials Design", Quantum Monte Carlo in the Apuan Alps VIII.  January 1, 2013
  • "Accelerating Materials Design and Development through Machine Learning".  January 1, 2013
  • "Towards the Rational Design of Nanoparticles for Energy Applications", ACS Fall Meeting.  January 1, 2013
  • "Materials Informatics for Energy Storage", Massive Energy Storage for the Broader Use of Renewable Energy Sources.  January 1, 2013
  • "Computational Materials Discovery and Design".  January 1, 2013
  • "Computational Materials Discovery and Design".  January 1, 2012
  • "Design of Materials for Energy Storage".  January 1, 2012
  • "Computational Materials Discovery and Design".  January 1, 2012
  • "Computational Design of Energy-Related Materials", Webinar on Energy Storage.  January 1, 2012
  • "A Density Functional Theory Study of Atomic Order in Au-Pd Nanoparticles", Spring Meeting.  January 1, 2011
  • "The Effect of Particle Size on Hydrogen Release from Sodium Alanate", Spring Meeting.  January 1, 2011
  • "Quantum Monte Carlo for Materials Design", Workshop on Perspectives and Challenges of Many-Particle Methods.  Bremen, Germany.  January 1, 2011
  • "Hydrogen Release from Sodium Alanate Nanoparticles", Physical Behavior of Materials Contractors Meeting.  January 1, 2011
  • "Quantum Monte Carlo for Materials Design", March Meeting.  January 1, 2011
  • "A Computational Study of Tavorite-Structured Cathode Materials", Spring Meeting.  January 1, 2011
  • "An Efficient Method to Study Substitutional Order in Nanoparticles", March Meeting.  January 1, 2009
  • "An Efficient Method to Study Ordering in Low-Symmetry Materials", Spring Meeting.  January 1, 2009
  • "Computational Methods for Determining the Structure of Hydrogen Storage Materials", March Meeting.  January 1, 2009
  • "Advances in Cluster Expansions: new Computational Tools to Study Surfaces and Nanoparticles", Nanoscience Colloquium.  January 1, 2009
  • "An Efficient Method to Study Ordering in Low-Symmetry Materials".  Stuttgart.  January 1, 2009
  • "A Density Functional Theory Study of Sodium Alanate Nanoparticles", Fall Meeting.  January 1, 2009
  • "Identifying the Structure of Hydrogen Storage Materials", Theory Focus Session on Hydrogen Storage Materials.  San Francisco, CA.  January 1, 2008
  • "An Efficient Method to Study Ordering in Low-Symmetry Materials", Fall Meeting.  January 1, 2008
  • "A Density Functional Theory Study of the Structure and Thermodynamics of Lithium Imide", International Symposium on Materials issues in Hydrogen Production and Storage.  January 1, 2006
  • "A Computational Study of Lithium Imide".  January 1, 2005
  • "The Structure and Thermodynamic Properties of Lithium Imide from First Principles", Fall Meeting.  January 1, 2005
  • "First-principles Analysis of Materials for Hydrogen Storage: MOF-5", Spring Meeting.  January 1, 2005
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