Jan Hermann

I'm a junior group leader at FU Berlin.

My research focuses on the development of computational methods for efficient modeling of the electronic structure of molecules and materials. The goal is to enable straightforward multi-scale simulations of complex electronic environments, which I am pursuing through tight integration of machine learning into first-principles approaches.

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email
jan.hermann@fu-berlin.de
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Publications

Resarch articles

Z. Schätzle, JH & F. Noé. Convergence to the fixed-node limit in deep variational Monte Carlo. J. Chem. Phys. 154, 124108 (2021) 
M. Stöhr, M. Sadhukhan, Y. S. Al-Hamdani, JH & A. Tkatchenko. Coulomb interactions between dipolar quantum fluctuations in van der Waals bound molecules and materials. Nat. Commun. 12, 137 (2021)  3
JH, Z. Schätzle & F. Noé. Deep-neural-network solution of the electronic Schrödinger equation. Nat. Chem. 12, 891–897 (2020)  72
P. S. Venkataram, JH, A. Tkatchenko & A. W. Rodriguez. Fluctuational electrodynamics in atomic and macroscopic systems: Van der Waals interactions and radiative heat transfer. Phys. Rev. B 102, 085403 (2020)  *

*Copyright 2020 by the American Physical Society

Q. Sun et al. Recent developments in the PʏSCF program package. J. Chem. Phys. 153, 024109 (2020)  *

*This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing.

42
JH & A. Tkatchenko. Density functional model for van der Waals interactions: Unifying many-body atomic approaches with nonlocal functionals. Phys. Rev. Lett. 124, 146401 (2020)  13
B. Hourahine et al. DFTB+, a software package for efficient approximate density functional theory based atomistic simulations. J. Chem. Phys. 152, 124101 (2020)  *

*This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing.

90
T. Cui, J. Li, W. Gao, JH, A. Tkatchenko & Q. Jiang. Nonlocal electronic correlations in the cohesive properties of high-pressure hydrogen solids. J. Phys. Chem. Lett. 11, 1521–1527 (2020)  *

*This document is the unedited Author’s version of a Submitted Work that was subsequently accepted for publication in The Journal of Physical Chemistry Letters, copyright © American Chemical Society after peer review. To access the final edited and published work follow the DOI link.

1
P. S. Venkataram, JH, T. J. Vongkovit, A. Tkatchenko & A. W. Rodriguez. Impact of nuclear vibrations on van der Waals and Casimir interactions at zero and finite temperature. Sci. Adv. 5, eaaw0456 (2019)  5
P. S. Venkataram, JH, A. Tkatchenko & A. W. Rodriguez. Phonon-polariton mediated thermal radiation and heat transfer among molecules and macroscopic bodies: Nonlocal electromagnetic response at mesoscopic scales. Phys. Rev. Lett. 121, 045901 (2018)  *

*Copyright 2018 by the American Physical Society

10
JH & A. Tkatchenko. Electronic exchange and correlation in van der Waals systems: Balancing semilocal and nonlocal energy contributions. J. Chem. Theory Comput. 14, 1361–1369 (2018)  *

*This document is the unedited Author’s version of a Submitted Work that was subsequently accepted for publication in Journal of Chemical Theory and Computation, copyright © American Chemical Society after peer review. To access the final edited and published work follow the DOI link.

24
P. S. Venkataram, JH, A. Tkatchenko & A. W. Rodriguez. Unifying microscopic and continuum treatments of van der Waals and Casimir interactions. Phys. Rev. Lett. 118, 266802 (2017)  *

*Copyright 2017 by the American Physical Society

18
M. Chattopadhyaya, JH, I. Poltavsky & A. Tkatchenko. Tuning intermolecular interactions with nanostructured environments. Chem. Mater. 29, 2452–2458 (2017)  *

*This document is the unedited Author’s version of a Submitted Work that was subsequently accepted for publication in Chemistry of Materials, copyright © American Chemical Society after peer review. To access the final edited and published work follow the DOI link.

8
JH, R. A. DiStasio, Jr. & A. Tkatchenko. First-principles models for van der Waals interactions in molecules and materials: Concepts, theory, and applications. Chem. Rev. 117, 4714–4758 (2017)  *

*This document is the unedited Author’s version of a Submitted Work that was subsequently accepted for publication in Chemical Reviews, copyright © American Chemical Society after peer review. To access the final edited and published work follow the DOI link.

318
JH, D. Alfè & A. Tkatchenko. Nanoscale π–π stacked molecules are bound by collective charge fluctuations. Nat. Commun. 8, 14052 (2017)  62
X. Liu, JH & A. Tkatchenko. Communication: Many-body stabilization of non-covalent interactions: Structure, stability, and mechanics of Ag₃Co(CN)₆ framework. J. Chem. Phys. 145, 241101 (2016)  *

*This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing.

8
JH, M. Trachta, P. Nachtigall & O. Bludský. Theoretical investigation of layered zeolite frameworks: Surface properties of 2D zeolites. Catal. Today 227, 2–8 (2014) 24
JH & O. Bludský. A novel correction scheme for DFT: A combined vdW-DF/CCSD(T) approach. J. Chem. Phys. 139, 034115 (2013)  *

*This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing.

16
M. Položij, E. Pérez-Mayoral, J. Čejka, JH & P. Nachtigall. Theoretical investigation of the Friedländer reaction catalysed by CuBTC: Concerted effect of the adjacent Cu²⁺ sites. Catal. Today 204, 101–107 (2013) 28

Book chapters

JH. Introduction to material modeling. In: K. T. Schütt et al. (eds), Machine learning meets quantum physics (Springer, Cham, 2020)
JH & A. Tkatchenko. Van der Waals interactions in material modelling. In: W. Andreoni & S. Yip (eds), Handbook of Materials Modeling (Springer, Cham, 2018) 1

Software projects

DeepQMC, creator, 182
Deep learning quantum Monte Carlo for electrons in real space (Python)
Libmbd, creator, 27
Many-body dispersion library (Fortran)
Pyberny, creator, 61
Molecular structure optimizer (Python)
FHI-aims, core contributor
All-electron electronic structure theory (Fortran)
PySCF, contributor
DFTB+, contributor

Presentations

Invited conference talks

2021 “Solving the electronic Schrödinger equation with deep learning”, ACS Fall Meeting, Atlanta, USA
Non-Covalent Interactions in Large Molecules and Extended Materials, Lausanne, Switzerland
2020 “Density-functional model for van der Waals interactions: Unifying atomic approaches with nonlocal functionals”, Electronic Structure Theory with Numeric Atom-Centered Basis Functions [virtual]
2019 “Unifying density-functional and interatomic approaches to van der Waals interactions”, Frontiers in Density Functional Theory and Beyond, Beijing, China
2018 “Modeling van der Waals interactions in molecules and materials”, Molecular Simulations Meets Machine Learning and Artificial Intelligence, Leiden, Netherlands
“Modeling van der Waals interactions”, Python for Quantum Chemistry and Materials Simulation Software, Pasadena, USA
“Modeling van der Waals interactions in materials with many-body dispersion”, Electronic Structure Theory with Numeric Atom-Centered Basis Functions, Munich, Germany

Contributed conference talks

2021 Approaching exact solutions of the electronic Schrödinger equation with deep quantum Monte Carlo”, APS March Meeting [virtual]
2020 Deep neural network solution of the electronic Schrödinger equation”, APS March Meeting, Denver, USA [cancelled]
2018 Unified many-body approach to van der Waals interactions based on semilocal polarizability functional”, APS March Meeting, Los Angeles, USA
2017 What is the range of electron correlation in density functionals?” APS March Meeting”, APS March Meeting, New Orleans, USA
2016 “First-principles approaches to van der Waals interactions”, Many-Body Interactions, Telluride, USA
2015 “Many-body dispersion meets non-local density functionals”, Modeling Many-Body Interactions, Lake La Garda, Italy
Many-body dispersion meets non-local density functionals”, APS March Meeting, San Antonio, USA
Many-body dispersion meets non-local density functionals”, DPG March Meeting, Berlin, Germany
2014 Non-local density functionals meet many-body dispersion”, DPG March Meeting, Dresden, Germany
2013 “Adsorption in zeolites investigated by dispersion-corrected DFT”, Layered Materials, Liblice, Czechia
“Modeling of surface properties of lamellar zeolites”, Molecular Sieves, Prague, Czechia

Conference poster presentations

2019 “Deep neural network solution of the electronic Schrödinger equation”, NeurIPS workshop Machine Learning and the Physical Sciences, Vancouver, Canada
2017 “Balancing semilocal and nonlocal energy contributions in van der Waals systems”, Intermolecular Interactions, Arenas de Cabrales, Spain
2016 “Python interface to FHI-aims”, Electronic Structure Theory with Numeric Atom-Centered Basis Functions, Munich, Germany
2015 “Non-local density functionals meet many-body dispersion”, Ψ-K Conference, San Sebastian, Spain
“Many-body dispersion meets non-local density functionals”, Congress of Theoretical Chemists, Torino, Italy
“Non-local density functionals meet many-body dispersion”, Frontiers of First-Principles Simulations: Materials Design and Discovery, Berlin, Germany
2014 “Non-local density functionals meet many-body dispersion”, Addressing Challenges for First-Principles Based Modeling of Molecular Materials, Lausanne, Switzerland
2013 “Modeling of surface properties of lamellar zeolites”, Molecular Sieves and Catalysis, Segovia, Spain
2012 “Silver clusters in faujasite: A theoretical investigation”, Molecular Sieves, Prague, Czechia
“Silver clusters in zeolites: Structure, stability and photoactivity”, British Zeolite Association Meeting, Chester, UK

Invited seminars

2021 “Solving the electronic Schrödinger equation with deep learning”, CC4S group, TU Wien [virtual]
“Some new methods in electronic structure theory”, (Nano)Materials Modeling seminar, Charles University [virtual]
“Solving the electronic Schrödinger equation with deep learning”, Institute of Physics, University of Szczecin [virtual]
2020 “Solving the electronic Schrödinger equation with deep learning”, Scientific Machine Learning Mini-Course, Carnegie Mellon University [virtual]
Solving the electronic Schrödinger equation with deep learning”, MLDG, University of Cambridge [virtual]
“Deep neural network solution of the electronic Schrödinger equation”, Jordan group, University of Pittsburgh [virtual]
2018 “Mona: Calculation framework for reproducible science”, Theory department, Fritz Haber Institute
2016 “Nanoscale π–π stacked molecules bound by collective charge fluctuations”, Aspuru-Guzik group, Harvard University
2015 “The unreasonable effectiveness of harmonic oscillators”, DiStasio group, Cornell University

Employment

Free University of Berlin
Nov 2020Head of Junior Research Group, BIFOLD, Department of Mathematics
Jan 2019–Oct 2020Postdoctoral researcher, Noé group
University of Luxembourg
Jan–Dec 2018Postdoctoral researcher, Tkatchenko group
Fritz Haber Institute of the Max Planck Society, Berlin
Oct 2013–Dec 2017Graduate researcher, Tkatchenko group, Theory Department
Institute of Organic Chemistry and Biochemistry, Prague
Mar 2010–Sep 2013Undergraduate researcher, Hobza group

Education

Humboldt University of Berlin
Dec 2017Ph.D. in Physics, summa cum laude
Charles University, Prague
Sep 2013M.S. in Molecular Modeling
Sep 2011B.S. in Physics
Jun 2011B.S. in Chemistry

Secondary appointments

Jan 2019–Oct 2020Research fellow in Müller group, Technical University of Berlin
Sep–Dec 2016Research fellow at the Institute for Pure and Applied Mathematics, UCLA
(long program “Understanding Many-Particle Systems with Machine Learning”)

Awards

2021 Marie Skłodowska-Curie Individual Fellowship [relinquished]
2014 Best science graduate , Charles University, Prague
2008 Gold medal , 39th International Physics Olympiad

Funding

Apr 2021–Mar 2024MATH+ AA2-8 (co-PI), “Deep backflow for accurate solution of the electronic Schrödinger equation”, €160k

Teaching & mentoring

Mentorship

May 2021P. del Mazo, Postdoc
Apr 2021M. Höfler, Master student, FU Berlin
Jul 2019J. Lederer, Phd student in Müller group, TU Berlin
Jan 2019Z. Schätzle, Master/Phd student in Noé group, FU Berlin

Invited lectures

2019 “Message-passing neural networks for modeling many-particle systems”, CECAM Summer School, Meinz, Germany

Doctoral examinations

2021M. Wilson, University of Bristol, UK

Public outreach

Sep 2019Public lecture in the Six Minute Challenge series, Czech Center, Berlin
2018Mentored a student in the LEAF program, accepted to University of Edinburgh
Sep 2008–Jun 2010Co-organized FYKOS, physics competition for high school students

Professional activities

Peer-reviewed 22 manuscripts for impact-factored journals including Nat. Commun., J. Phys. Chem. Lett., J. Chem. Theory Comput., Phys. Rev. B, and J. Chem. Phys.