Johannes Hachmann

Assistant Professor
Departments of Chemical and Biological Engineering
Suny Buffalo Schools of Medicine and Engineering
United States of America

Biography

Dr. Johannes Hachmann pursuit her Bachelor degree in Chemistry from University of Jena, Germany in the year 2004. He completed his Master degree in Theoretical Chemistry in the year 2007 from Cornell University. He completed Ph.D. degree in the year 2010 in Theoretical Chemistry from Cornell University. He started his career as Postdoctoral Research Fellow in the 2009-2012 in the Department of Chemistry and Chemical Biological from Harvard University. Later he worked as Research Associate from 2012-2014.In the year 2014 he started his career in University of Buffalo as a Assistant Professor. His research is concerned with one of the most demanding and simultaneously rewarding challenges for computational chemistry: the accurate modeling of coordination compounds and predictive simulation of catalytic processes. He and his team address real-life chemical problems ranging from transition metal complexes with exotic properties to bio-, organo-, and metal-catalysis. His second area of interest is the development of electronic materials, in particular for renewable energy technology. Complicated quantum effects play an important role in both these areas, and they employ cutting-edge computational techniques in carefully designed studies to account for them.

Research Intrest

Computational chemistry and materials science, Virtual high-throughput and Big Data techniques, Materials informatics and machine learning, Rational design and inverse engineering,Electronic structure theory and methods, Quantum effects in catalysis, materials, and biological structures, Metal-, organo-, and biocatalysis, Coordination and transition metal chemistry, molecular magnets, Molecular and electronic materials, Renewable energy solutions

List of Publications
Hachmann J, Olivares-Amaya R, Atahan-Evrenk S, Amador-Bedolla C, Sánchez-Carrera RS et al. (2011) The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid. J Phys Chem Lett 2: 2241-2251.
Hachmann J, Olivares-Amaya R, Jinich A, Appleton AL, Blood-Forsythe MA, et al. (2014) Lead candidates for high-performance organic photovoltaics from high-throughput quantum chemistry - the Harvard Clean Energy Project. Energy Environ. Sci 7: 698-704.
Lopez SA, Pyzer-knapp EO, Simm GN, Lutzow T, Li KWet al. (2016) The Harvard organic photovoltaic dataset. Sci Data 3:160086.