Johannes Hachmann, Ph.D., M.Sc., Dipl.-Chem.,

Affiliations: 
Chemical and Biological Engineering State University of New York, Buffalo, Buffalo, NY, United States 
Area:
Theoretical Chemistry, Quantum Chemistry, Computational Chemistry, Molecular Modeling, Computational Materials Science
Website:
http://hachmannlab.cbe.buffalo.edu/index.php/team/johannes-hachmann/
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"Johannes Hachmann"
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Parents

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Ulrich-Walter Grummt research assistant 2001-2002 Universität Jena
James  F. Weston research assistant 2003-2003 Universität Jena
Hans-Gerhard Fritsche research assistant 2003-2004 Universität Jena
Nicholas C. Handy research assistant 2003-2004 Cambridge
Garnet K.L. Chan grad student 2004-2010 Cornell
 (Ab initio density matrix renormalization group methodology and computational transition metal chemistry.)
Alán Aspuru-Guzik post-doc 2009-2014 Harvard

Children

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Sai Prasad Ganesh research assistant 2014- SUNY Buffalo
Zachary Manzer research assistant 2014- SUNY Buffalo
Bryan A. Moore research assistant 2014- SUNY Buffalo
Sykhere Brown research assistant 2017- SUNY Buffalo
Mohammad Atif Faiz Afzal grad student 2014- SUNY Buffalo
Mojtaba Haghighatlari grad student 2014- SUNY Buffalo
Jun Pan grad student 2014- SUNY Buffalo
Ching-Yen Shih grad student 2014- SUNY Buffalo
Shawn S. Zadeh grad student 2014- SUNY Buffalo
Aditya Sonpal grad student 2016- SUNY Buffalo
Andrew J. Schultz research scientist 2014- SUNY Buffalo
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Publications

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Haghighatlari M, Vishwakarma G, Altarawy D, et al. (2020) ChemML: A Machine Learning and Informatics Program Package for the Analysis, Mining, and Modeling of Chemical and Materials Data Wiley Interdisciplinary Reviews: Computational Molecular Science. 10
Afzal MAF, Sonpal A, Haghighatlari M, et al. (2019) A deep neural network model for packing density predictions and its application in the study of 1.5 million organic molecules. Chemical Science. 10: 8374-8383
Afzal MAF, Hachmann J. (2019) Benchmarking DFT approaches for the calculation of polarizability inputs for refractive index predictions in organic polymers. Physical Chemistry Chemical Physics : Pccp
Afzal MAF, Cheng C, Hachmann J. (2018) Combining first-principles and data modeling for the accurate prediction of the refractive index of organic polymers. The Journal of Chemical Physics. 148: 241712
Lopez SA, Pyzer-Knapp EO, Simm GN, et al. (2016) The Harvard organic photovoltaic dataset. Scientific Data. 3: 160086
Hachmann J, Olivares-Amaya R, Jinich A, et al. (2014) Lead candidates for high-performance organic photovoltaics from high-throughput quantum chemistry-the Harvard Clean Energy Project Energy and Environmental Science. 7: 698-704
Amador-Bedolla C, Olivares-Amaya R, Hachmann J, et al. (2013) Organic Photovoltaics Informatics For Materials Science and Engineering: Data-Driven Discovery For Accelerated Experimentation and Application. 423-442
Hachmann J, Frazier BA, Wolczanski PT, et al. (2011) A theoretical study of the 3d-M(smif)2 complexes: structure, magnetism, and oxidation states. Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry. 12: 3236-44
Olivares-Amaya R, Amador-Bedolla C, Hachmann J, et al. (2011) Accelerated computational discovery of high-performance materials for organic photovoltaics by means of cheminformatics Energy and Environmental Science. 4: 4849-4861
Hachmann J, Olivares-Amaya R, Atahan-Evrenk S, et al. (2011) The harvard clean energy project: Large-scale computational screening and design of organic photovoltaics on the world community grid Journal of Physical Chemistry Letters. 2: 2241-2251
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