Johannes Hachmann

PhD

Johannes Hachmann

PhD

Johannes Hachmann

PhD

Research Topics

Computational chemistry and materials science; virtual high-throughput and Big Data; machine learning; electronic structure theory and methods; quantum effects in catalysis and materials; rational design

Contact Information

612 Furnas Hall

Buffalo NY, 14260

Phone: (716) 645-1524

Fax: (716) 645-3822

hachmann@buffalo.edu

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UB Teaching Experience

Instructor, University at Buffalo – Department of Chemical and Biological Engineering

  • Transport Processes I – Fluid Mechanics (CE 317, undergraduate) - Fall 2017
  • Computer-Aided Research in the Chemical and Materials Sciences (CE 451/551, graduate) - Spring 2017
  • Transport Processes I – Fluid Mechanics (CE 317, undergraduate) - Fall 2016
  • Special Topics: Computer-Aided Research in the Chemical Sciences (CE 400/500, graduate) - Spring 2016
  • Transport Processes I – Fluid Mechanics (CE 317, undergraduate) - Fall 2015
  • Special Topics: Computer-Aided Research in the Chemical Sciences (CE 400/500, graduate) - Spring 2015
  • Transport Processes I – Fluid Mechanics (CE 317, undergraduate) - Fall 2014

Guest Instructor, University at Buffalo – Department of Chemical and Biological Engineering

  • Engineering Impact On Society, Dr. W.G. Wild, Jr. (EAS 202, undergraduate) - Spring 2017
  • Engineering Impact On Society, Dr. W.G. Wild, Jr. (EAS 202, undergraduate) - Spring 2016
  • Special Topics: Materials Characterization and Properties, Prof. H. Lin (CE 500, graduate) - Fall 2015
  • Chemical Engineering Analysis I, Prof. M. Dupuis (CE 531, graduate) - Fall 2015
  • Engineering Impact On Society, Dr. W.G. Wild, Jr. (EAS 202, undergraduate) - Spring 2015
  • Chemical Engineering Analysis I, Prof. J.M. Nitsche (CE 531, graduate) - Spring 2015
  • Special Topics: Materials Characterization and Properties, Prof. H. Lin (CE 500, graduate) - Fall 2014
  • Chemical Engineering Analysis I, Prof. J.M. Nitsche (CE 531, graduate) - Fall 2014
  • Engineering Impact On Society, Dr. W.G. Wild, Jr. (EAS 202, undergraduate) - Spring 2014
  • Chemical Engineering Analysis I, Prof. J.M. Nitsche (CE 531, graduate) - Spring 2014

Workshop Instructor

  • APS GSOFT Short Course on Machine Learning and Data Science in Soft Matter, Los Angeles (CA), Machine Learning with Python - Mar 2018
  • FOMMS 2015 – Molecular Modeling and the Materials Genome, Mt. Hood (OR), Data Mining, Machine Learning, and Materials Informatics - Jul 2015

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