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Title: First principles view on chemical compound space: Gaining rigorous atomistic control of molecular properties

Abstract

A well-defined notion of chemical compound space (CCS) is essential for gaining rigorous control of properties through variation of elemental composition and atomic configurations. Here, we give an introduction to an atomistic first principles perspective on CCS. First, CCS is discussed in terms of variational nuclear charges in the context of conceptual density functional and molecular grand-canonical ensemble theory. Thereafter, we revisit the notion of compound pairs, related to each other via “alchemical” interpolations involving fractional nuclear charges in the electronic Hamiltonian. We address Taylor expansions in CCS, property nonlinearity, improved predictions using reference compound pairs, and the ounce-of-gold prize challenge to linearize CCS. Finally, we turn to machine learning of analytical structure property relationships in CCS. Here, these relationships correspond to inferred, rather than derived through variational principle, solutions of the electronic Schrödinger equation.

Authors:
 [1]
  1. Univ. of Basel, Basel (Switzerland); Argonne National Lab. (ANL), Argonne, IL (United States)
Publication Date:
Research Org.:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Org.:
Argonne National Laboratory, Argonne Leadership Computing Facility; USDOE
OSTI Identifier:
1395172
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
International Journal of Quantum Chemistry
Additional Journal Information:
Journal Volume: 113; Journal Issue: 12; Journal ID: ISSN 0020-7608
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; chemical space; machine learning; density functional theory; design; alchemy

Citation Formats

von Lilienfeld, O. Anatole. First principles view on chemical compound space: Gaining rigorous atomistic control of molecular properties. United States: N. p., 2013. Web. doi:10.1002/qua.24375.
von Lilienfeld, O. Anatole. First principles view on chemical compound space: Gaining rigorous atomistic control of molecular properties. United States. https://doi.org/10.1002/qua.24375
von Lilienfeld, O. Anatole. Tue . "First principles view on chemical compound space: Gaining rigorous atomistic control of molecular properties". United States. https://doi.org/10.1002/qua.24375. https://www.osti.gov/servlets/purl/1395172.
@article{osti_1395172,
title = {First principles view on chemical compound space: Gaining rigorous atomistic control of molecular properties},
author = {von Lilienfeld, O. Anatole},
abstractNote = {A well-defined notion of chemical compound space (CCS) is essential for gaining rigorous control of properties through variation of elemental composition and atomic configurations. Here, we give an introduction to an atomistic first principles perspective on CCS. First, CCS is discussed in terms of variational nuclear charges in the context of conceptual density functional and molecular grand-canonical ensemble theory. Thereafter, we revisit the notion of compound pairs, related to each other via “alchemical” interpolations involving fractional nuclear charges in the electronic Hamiltonian. We address Taylor expansions in CCS, property nonlinearity, improved predictions using reference compound pairs, and the ounce-of-gold prize challenge to linearize CCS. Finally, we turn to machine learning of analytical structure property relationships in CCS. Here, these relationships correspond to inferred, rather than derived through variational principle, solutions of the electronic Schrödinger equation.},
doi = {10.1002/qua.24375},
journal = {International Journal of Quantum Chemistry},
number = 12,
volume = 113,
place = {United States},
year = {Tue Feb 26 00:00:00 EST 2013},
month = {Tue Feb 26 00:00:00 EST 2013}
}

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Works referenced in this record:

Quantification of “fuzzy” chemical concepts: a computational perspective
journal, January 2012

  • Gonthier, Jérôme F.; Steinmann, Stephan N.; Wodrich, Matthew D.
  • Chemical Society Reviews, Vol. 41, Issue 13
  • DOI: 10.1039/c2cs35037h

970 Million Druglike Small Molecules for Virtual Screening in the Chemical Universe Database GDB-13
journal, July 2009

  • Blum, Lorenz C.; Reymond, Jean-Louis
  • Journal of the American Chemical Society, Vol. 131, Issue 25
  • DOI: 10.1021/ja902302h

Free energies of ligand binding for structurally diverse compounds
journal, March 2005

  • Oostenbrink, C.; van Gunsteren, W. F.
  • Proceedings of the National Academy of Sciences, Vol. 102, Issue 19
  • DOI: 10.1073/pnas.0407404102

Two- and three-body interatomic dispersion energy contributions to binding in molecules and solids
journal, June 2010

  • Anatole von Lilienfeld, O.; Tkatchenko, Alexandre
  • The Journal of Chemical Physics, Vol. 132, Issue 23
  • DOI: 10.1063/1.3432765

Dynamically Polarizable Water Potential Based on Multipole Moments Trained by Machine Learning
journal, May 2009

  • Handley, Chris M.; Popelier, Paul L. A.
  • Journal of Chemical Theory and Computation, Vol. 5, Issue 6
  • DOI: 10.1021/ct800468h

New Method for Calculating Wave Functions in Crystals and Molecules
journal, October 1959


UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations
journal, December 1992

  • Rappe, A. K.; Casewit, C. J.; Colwell, K. S.
  • Journal of the American Chemical Society, Vol. 114, Issue 25, p. 10024-10035
  • DOI: 10.1021/ja00051a040

Molecular Electronic-Structure Theory
book, August 2000


An introduction to kernel-based learning algorithms
journal, March 2001

  • Muller, K. -R.; Mika, S.; Ratsch, G.
  • IEEE Transactions on Neural Networks, Vol. 12, Issue 2
  • DOI: 10.1109/72.914517

MOLGEN-CID A Canonizer for Molecules and Graphs Accessible through the Internet
journal, March 2004

  • Braun, Joachim; Gugisch, Ralf; Kerber, Adalbert
  • Journal of Chemical Information and Computer Sciences, Vol. 44, Issue 2
  • DOI: 10.1021/ci030404l

Alchemical Variations of Intermolecular Energies According to Molecular Grand-Canonical Ensemble Density Functional Theory
journal, March 2007

  • von Lilienfeld, O. Anatole; Tuckerman, M. E.
  • Journal of Chemical Theory and Computation, Vol. 3, Issue 3
  • DOI: 10.1021/ct700002c

Simulated annealing on free energy surfaces by a combined molecular dynamics and Monte Carlo approach
journal, February 1993


Higher order alchemical derivatives from coupled perturbed self-consistent field theory
journal, January 2012

  • Lesiuk, Michał; Balawender, Robert; Zachara, Janusz
  • The Journal of Chemical Physics, Vol. 136, Issue 3
  • DOI: 10.1063/1.3674163

Density-Functional Theory for Fractional Particle Number: Derivative Discontinuities of the Energy
journal, December 1982


Comment on “Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning”
journal, August 2012


Generalized variational density functional perturbation theory
journal, November 2000

  • Putrino, Anna; Sebastiani, Daniel; Parrinello, Michele
  • The Journal of Chemical Physics, Vol. 113, Issue 17
  • DOI: 10.1063/1.1312830

Optimizing transition states via kernel-based machine learning
journal, May 2012

  • Pozun, Zachary D.; Hansen, Katja; Sheppard, Daniel
  • The Journal of Chemical Physics, Vol. 136, Issue 17
  • DOI: 10.1063/1.4707167

Rupp et al. Reply:
journal, August 2012


Ab initio molecular dynamics: Concepts, recent developments, and future trends
journal, May 2005

  • Iftimie, R.; Minary, P.; Tuckerman, M. E.
  • Proceedings of the National Academy of Sciences, Vol. 102, Issue 19
  • DOI: 10.1073/pnas.0500193102

Communication: Hybrid ensembles for improved force matching
journal, December 2010

  • Wang, Lee-Ping; Van Voorhis, Troy
  • The Journal of Chemical Physics, Vol. 133, Issue 23
  • DOI: 10.1063/1.3519043

Predicting Crystal Structures with Data Mining of Quantum Calculations
journal, September 2003


High-throughput electronic band structure calculations: Challenges and tools
journal, August 2010


The Signature Molecular Descriptor. 1. Using Extended Valence Sequences in QSAR and QSPR Studies
journal, May 2003

  • Faulon, Jean-Loup; Visco, Donald P.; Pophale, Ramdas S.
  • Journal of Chemical Information and Computer Sciences, Vol. 43, Issue 3
  • DOI: 10.1021/ci020345w

Unified Approach for Molecular Dynamics and Density-Functional Theory
journal, November 1985


Robust and Affordable Multicoefficient Methods for Thermochemistry and Thermochemical Kinetics:  The MCCM/3 Suite and SAC/3
journal, May 2003

  • Lynch, Benjamin J.; Truhlar, Donald G.
  • The Journal of Physical Chemistry A, Vol. 107, Issue 19
  • DOI: 10.1021/jp0221993

Chemical Combinatorics for Alkane-Isomer Enumeration and More
journal, November 1998

  • Bytautas, L.; Klein, D. J.
  • Journal of Chemical Information and Computer Sciences, Vol. 38, Issue 6
  • DOI: 10.1021/ci980095c

Structure and band gaps of Ga-(V) semiconductors: The challenge of Ga pseudopotentials
journal, March 2008


A generalized exchange-correlation functional: the Neural-Networks approach
journal, May 2004


A Medicinal Chemist’s Guide to Molecular Interactions
journal, July 2010

  • Bissantz, Caterina; Kuhn, Bernd; Stahl, Martin
  • Journal of Medicinal Chemistry, Vol. 53, Issue 14
  • DOI: 10.1021/jm100112j

Virtual screening: an endless staircase?
journal, April 2010

  • Schneider, Gisbert
  • Nature Reviews Drug Discovery, Vol. 9, Issue 4
  • DOI: 10.1038/nrd3139

Improved a b i n i t i o effective core potentials for molecular calculations
journal, December 1979

  • Christiansen, Phillip A.; Lee, Yoon S.; Pitzer, Kenneth S.
  • The Journal of Chemical Physics, Vol. 71, Issue 11
  • DOI: 10.1063/1.438197

Use of Pseudopotentials in Atomic‐Structure Calculations
journal, September 1968

  • Weeks, John D.; Rice, Stuart A.
  • The Journal of Chemical Physics, Vol. 49, Issue 6
  • DOI: 10.1063/1.1670479

Self-Consistent Equations Including Exchange and Correlation Effects
journal, November 1965


Identifying the minimum-energy atomic configuration on a lattice: Lamarckian twist on Darwinian evolution
journal, August 2008


Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
journal, January 2012


The Elements of Statistical Learning
book, January 2009


Collective many-body van der Waals interactions in molecular systems
journal, August 2012

  • DiStasio, R. A.; von Lilienfeld, O. A.; Tkatchenko, A.
  • Proceedings of the National Academy of Sciences, Vol. 109, Issue 37
  • DOI: 10.1073/pnas.1208121109

Exploring chemical space with discrete, gradient, and hybrid optimization methods
journal, November 2008

  • Balamurugan, D.; Yang, Weitao; Beratan, David N.
  • The Journal of Chemical Physics, Vol. 129, Issue 17
  • DOI: 10.1063/1.2987711

The Effect of Structure upon the Reactions of Organic Compounds. Benzene Derivatives
journal, January 1937

  • Hammett, Louis P.
  • Journal of the American Chemical Society, Vol. 59, Issue 1
  • DOI: 10.1021/ja01280a022

Variational optimization of effective atom centered potentials for molecular properties
journal, January 2005

  • von Lilienfeld, O. Anatole; Tavernelli, Ivano; Rothlisberger, Ursula
  • The Journal of Chemical Physics, Vol. 122, Issue 1
  • DOI: 10.1063/1.1829051

Towards high charge-carrier mobilities by rational design of the shape and periphery of discotics
journal, April 2009

  • Feng, Xinliang; Marcon, Valentina; Pisula, Wojciech
  • Nature Materials, Vol. 8, Issue 5
  • DOI: 10.1038/nmat2427

Hopping Transport in Conductive Heterocyclic Oligomers:  Reorganization Energies and Substituent Effects
journal, February 2005

  • Hutchison, Geoffrey R.; Ratner, Mark A.; Marks, Tobin J.
  • Journal of the American Chemical Society, Vol. 127, Issue 7
  • DOI: 10.1021/ja0461421

Discontinuous Nature of the Exchange-Correlation Functional in Strongly Correlated Systems
journal, February 2009


ReaxFF:  A Reactive Force Field for Hydrocarbons
journal, October 2001

  • van Duin, Adri C. T.; Dasgupta, Siddharth; Lorant, Francois
  • The Journal of Physical Chemistry A, Vol. 105, Issue 41
  • DOI: 10.1021/jp004368u

Inverse molecular design in a tight-binding framework
journal, July 2008

  • Xiao, Dequan; Yang, Weitao; Beratan, David N.
  • The Journal of Chemical Physics, Vol. 129, Issue 4
  • DOI: 10.1063/1.2955756

Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces
journal, April 2007


Chemical space
journal, December 2004

  • Kirkpatrick, Peter; Ellis, Clare
  • Nature, Vol. 432, Issue 7019
  • DOI: 10.1038/432823a

Constraints on the composition of the Earth's core from ab initio calculations
journal, May 2000

  • Alfè, D.; Gillan, M. J.; Price, G. D.
  • Nature, Vol. 405, Issue 6783
  • DOI: 10.1038/35012056

Representing high-dimensional potential-energy surfaces for reactions at surfaces by neural networks
journal, September 2004


Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations
journal, January 2011

  • Behler, Jörg
  • Physical Chemistry Chemical Physics, Vol. 13, Issue 40
  • DOI: 10.1039/c1cp21668f

Inverse Strategies for Molecular Design
journal, January 1996

  • Kuhn, Christoph; Beratan, David N.
  • The Journal of Physical Chemistry, Vol. 100, Issue 25
  • DOI: 10.1021/jp960518i

Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons
journal, April 2010


Simple one-electron quantum capping potentials for use in hybrid QM/MM studies of biological molecules
journal, June 2002

  • DiLabio, Gino A.; Hurley, Margaret M.; Christiansen, Phillip A.
  • The Journal of Chemical Physics, Vol. 116, Issue 22
  • DOI: 10.1063/1.1477182

Predictions of free energy differences from a single simulation of the initial state
journal, January 1994

  • Smith, Paul E.; Gunsteren, Wilfred F. van
  • The Journal of Chemical Physics, Vol. 100, Issue 1
  • DOI: 10.1063/1.466975

Metallic Binding According to the Combined Approximation Procedure
journal, May 1936

  • Hellmann, H.; Kassatotschkin, W.
  • The Journal of Chemical Physics, Vol. 4, Issue 5
  • DOI: 10.1063/1.1749851

Finding Nature’s Missing Ternary Oxide Compounds Using Machine Learning and Density Functional Theory
journal, June 2010

  • Hautier, Geoffroy; Fischer, Christopher C.; Jain, Anubhav
  • Chemistry of Materials, Vol. 22, Issue 12
  • DOI: 10.1021/cm100795d

Support vector machine regression (LS-SVM)—an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data?
journal, January 2011

  • Balabin, Roman M.; Lomakina, Ekaterina I.
  • Physical Chemistry Chemical Physics, Vol. 13, Issue 24
  • DOI: 10.1039/c1cp00051a

Ab initio molecular dynamics calculations of ion hydration free energies
journal, May 2009

  • Leung, Kevin; Rempe, Susan B.; von Lilienfeld, O. Anatole
  • The Journal of Chemical Physics, Vol. 130, Issue 20
  • DOI: 10.1063/1.3137054

Non‐Born–Oppenheimer density functional theory of molecular systems
journal, January 1982

  • Capitani, Joseph F.; Nalewajski, Roman F.; Parr, Robert G.
  • The Journal of Chemical Physics, Vol. 76, Issue 1
  • DOI: 10.1063/1.442703

Self-consistent band-gap corrections in density functional theory using modified pseudopotentials
journal, January 2007


The Number of Isomeric Hydrocarbons of the Methane Series
journal, August 1931

  • Henze, Henry R.; Blair, Charles M.
  • Journal of the American Chemical Society, Vol. 53, Issue 8
  • DOI: 10.1021/ja01359a034

Variational Particle Number Approach for Rational Compound Design
journal, October 2005

  • von Lilienfeld, O. Anatole; Lins, Roberto D.; Rothlisberger, Ursula
  • Physical Review Letters, Vol. 95, Issue 15
  • DOI: 10.1103/PhysRevLett.95.153002

A New Approximation Method in the Problem of Many Electrons
journal, January 1935

  • Hellmann, H.
  • The Journal of Chemical Physics, Vol. 3, Issue 1
  • DOI: 10.1063/1.1749559

Finding Density Functionals with Machine Learning
journal, June 2012


Computing Second-Order Functional Derivatives with Respect to the External Potential
journal, November 2010

  • Sablon, Nick; Proft, Frank De; Ayers, Paul W.
  • Journal of Chemical Theory and Computation, Vol. 6, Issue 12
  • DOI: 10.1021/ct1004577

Metadynamics Simulations of the High-Pressure Phases of Silicon Employing a High-Dimensional Neural Network Potential
journal, May 2008


Analytical evaluation of Fukui functions and real-space linear response function
journal, April 2012

  • Yang, Weitao; Cohen, Aron J.; De Proft, Frank
  • The Journal of Chemical Physics, Vol. 136, Issue 14
  • DOI: 10.1063/1.3701562

Optimization of Effective Atom Centered Potentials for London Dispersion Forces in Density Functional Theory
journal, October 2004

  • von Lilienfeld, O. Anatole; Tavernelli, Ivano; Rothlisberger, Ursula
  • Physical Review Letters, Vol. 93, Issue 15
  • DOI: 10.1103/PhysRevLett.93.153004

The Fukui Potential and the Capacity of Charge and the Global Hardness of Atoms
journal, March 2011

  • Cárdenas, Carlos; Tiznado, William; Ayers, Paul W.
  • The Journal of Physical Chemistry A, Vol. 115, Issue 11
  • DOI: 10.1021/jp109955q

Communication: Ionization potentials in the limit of large atomic number
journal, December 2010

  • Constantin, Lucian A.; Snyder, John C.; Perdew, John P.
  • The Journal of Chemical Physics, Vol. 133, Issue 24
  • DOI: 10.1063/1.3522767

A (Nearly) Universally Applicable Method for Modeling Noncovalent Interactions Using B3LYP
journal, June 2012

  • Torres, Edmanuel; DiLabio, Gino A.
  • The Journal of Physical Chemistry Letters, Vol. 3, Issue 13
  • DOI: 10.1021/jz300554y

Direct computation of general chemical energy differences: Application to ionization potentials, excitation, and bond energies
journal, August 2006

  • Beste, A.; Harrison, R. J.; Yanai, T.
  • The Journal of Chemical Physics, Vol. 125, Issue 7
  • DOI: 10.1063/1.2244559

Atom distributions in binary atom clusters: A perturbational approach and its validation in a case study
journal, December 2004

  • Weigend, Florian; Schrodt, Claudia; Ahlrichs, Reinhart
  • The Journal of Chemical Physics, Vol. 121, Issue 21
  • DOI: 10.1063/1.1811079

Homometric Structures
journal, June 1939


Approaches for Optimizing the First Electronic Hyperpolarizability of Conjugated Organic Molecules
journal, April 1991


Some Relations between Reaction Rates and Equilibrium Constants.
journal, August 1935


Tuning electronic eigenvalues of benzene via doping
journal, August 2007

  • Marcon, Valentina; von Lilienfeld, O. Anatole; Andrienko, Denis
  • The Journal of Chemical Physics, Vol. 127, Issue 6
  • DOI: 10.1063/1.2752811

Electronic structure of GaAs under strain
journal, November 1984


Predicting Noncovalent Interactions between Aromatic Biomolecules with London-Dispersion-Corrected DFT
journal, December 2007

  • Lin, I-Chun; von Lilienfeld, O. Anatole; Coutinho-Neto, Maurício D.
  • The Journal of Physical Chemistry B, Vol. 111, Issue 51
  • DOI: 10.1021/jp0750102

Self-interaction-corrected pseudopotentials for silicon carbide
journal, May 2006


Density functionals for surface science: Exchange-correlation model development with Bayesian error estimation
journal, June 2012


Alchemical derivatives of reaction energetics
journal, August 2010

  • Sheppard, Daniel; Henkelman, Graeme; von Lilienfeld, O. Anatole
  • The Journal of Chemical Physics, Vol. 133, Issue 8
  • DOI: 10.1063/1.3474502

Sequence-Dependent Configurational Entropy Change of DNA upon Intercalation
journal, October 2010

  • Kolář, Michal; Kubař, Tomáš; Hobza, Pavel
  • The Journal of Physical Chemistry B, Vol. 114, Issue 42
  • DOI: 10.1021/jp1019153

Synthesis and biological evaluation of novel benzoxazinic analogues of ellipticine
journal, July 2010


Discrete Optimization of Electronic Hyperpolarizabilities in a Chemical Subspace
journal, November 2009

  • Rinderspacher, B. Christopher; Andzelm, Jan; Rawlett, Adam
  • Journal of Chemical Theory and Computation, Vol. 5, Issue 12
  • DOI: 10.1021/ct900325p

Automated Parametrization of Biomolecular Force Fields from Quantum Mechanics/Molecular Mechanics (QM/MM) Simulations through Force Matching
journal, January 2007

  • Maurer, Patrick; Laio, Alessandro; Hugosson, Håkan W.
  • Journal of Chemical Theory and Computation, Vol. 3, Issue 2
  • DOI: 10.1021/ct600284f

Physical Content of the Exact Kohn-Sham Orbital Energies: Band Gaps and Derivative Discontinuities
journal, November 1983


Atom-centered symmetry functions for constructing high-dimensional neural network potentials
journal, February 2011

  • Behler, Jörg
  • The Journal of Chemical Physics, Vol. 134, Issue 7
  • DOI: 10.1063/1.3553717

Density‐functional thermochemistry. III. The role of exact exchange
journal, April 1993

  • Becke, Axel D.
  • The Journal of Chemical Physics, Vol. 98, Issue 7, p. 5648-5652
  • DOI: 10.1063/1.464913

Acidity constants from vertical energy gaps: density functional theory based molecular dynamics implementation
journal, January 2008

  • Sulpizi, Marialore; Sprik, Michiel
  • Physical Chemistry Chemical Physics, Vol. 10, Issue 34
  • DOI: 10.1039/b802376j

Conceptual Density Functional Theory
journal, May 2003

  • Geerlings, P.; De Proft, F.; Langenaeker, W.
  • Chemical Reviews, Vol. 103, Issue 5
  • DOI: 10.1021/cr990029p

Accurate ab initio energy gradients in chemical compound space
journal, October 2009

  • Anatole von Lilienfeld, O.
  • The Journal of Chemical Physics, Vol. 131, Issue 16
  • DOI: 10.1063/1.3249969

Designing Molecules by Optimizing Potentials
journal, March 2006

  • Wang, Mingliang; Hu, Xiangqian; Beratan, David N.
  • Journal of the American Chemical Society, Vol. 128, Issue 10
  • DOI: 10.1021/ja0572046

The structures of binary compounds. I. Phenomenological structure maps
journal, January 1986


Forces in Molecules
journal, August 1939


Pseudopotentials for H to Kr optimized for gradient-corrected exchange-correlation functionals
journal, May 2005


Assessment of the Perdew–Burke–Ernzerhof exchange-correlation functional
journal, March 1999

  • Ernzerhof, Matthias; Scuseria, Gustavo E.
  • The Journal of Chemical Physics, Vol. 110, Issue 11
  • DOI: 10.1063/1.478401

Inhomogeneous Electron Gas
journal, November 1964


A Hamiltonian electrostatic coupling scheme for hybrid Car–Parrinello molecular dynamics simulations
journal, April 2002

  • Laio, Alessandro; VandeVondele, Joost; Rothlisberger, Ursula
  • The Journal of Chemical Physics, Vol. 116, Issue 16
  • DOI: 10.1063/1.1462041

Toward Quantitative Structure–Property Relationships for Charge Transfer Rates of Polycyclic Aromatic Hydrocarbons
journal, July 2011

  • Misra, Milind; Andrienko, Denis; Baumeier, Björn
  • Journal of Chemical Theory and Computation, Vol. 7, Issue 8
  • DOI: 10.1021/ct200231z

QSAR Comparative Study of Wiener Descriptors for Weighted Molecular Graphs
journal, November 2000

  • Ivanciuc, Ovidiu
  • Journal of Chemical Information and Computer Sciences, Vol. 40, Issue 6
  • DOI: 10.1021/ci000068y

Library of dispersion-corrected atom-centered potentials for generalized gradient approximation functionals: Elements H, C, N, O, He, Ne, Ar, and Kr
journal, May 2007

  • Lin, I-Chun; Coutinho-Neto, Maurício D.; Felsenheimer, Camille
  • Physical Review B, Vol. 75, Issue 20
  • DOI: 10.1103/PhysRevB.75.205131

Molecular grand-canonical ensemble density functional theory and exploration of chemical space
journal, October 2006

  • von Lilienfeld, O. Anatole; Tuckerman, Mark E.
  • The Journal of Chemical Physics, Vol. 125, Issue 15
  • DOI: 10.1063/1.2338537

Path Integral Computation of Quantum Free Energy Differences Due to Alchemical Transformations Involving Mass and Potential
journal, June 2011

  • Pérez, Alejandro; von Lilienfeld, O. Anatole
  • Journal of Chemical Theory and Computation, Vol. 7, Issue 8
  • DOI: 10.1021/ct2000556

Classical and quasiclassical spectral analysis of CH5+ using an ab initio potential energy surface
journal, November 2003

  • Brown, Alex; Braams, Bastiaan J.; Christoffel, Kurt
  • The Journal of Chemical Physics, Vol. 119, Issue 17
  • DOI: 10.1063/1.1622379

Molecular Design of Porphyrin-Based Nonlinear Optical Materials
journal, November 2008

  • Keinan, Shahar; Therien, Michael J.; Beratan, David N.
  • The Journal of Physical Chemistry A, Vol. 112, Issue 47
  • DOI: 10.1021/jp806351d

A simple relation between nuclear charges and potential surfaces
journal, May 1985

  • Mezey, Paul G.
  • Journal of the American Chemical Society, Vol. 107, Issue 11
  • DOI: 10.1021/ja00297a015

Rationale for mixing exact exchange with density functional approximations
journal, December 1996

  • Perdew, John P.; Ernzerhof, Matthias; Burke, Kieron
  • The Journal of Chemical Physics, Vol. 105, Issue 22, p. 9982-9985
  • DOI: 10.1063/1.472933

Pseudopotentials that work: From H to Pu
journal, October 1982


Self-interaction corrections in semiconductors
journal, December 1995


Combined first-principles calculation and neural-network correction approach for heat of formation
journal, December 2003

  • Hu, LiHong; Wang, XiuJun; Wong, LaiHo
  • The Journal of Chemical Physics, Vol. 119, Issue 22
  • DOI: 10.1063/1.1630951

A gradient-directed Monte Carlo approach to molecular design
journal, August 2008

  • Hu, Xiangqian; Beratan, David N.; Yang, Weitao
  • The Journal of Chemical Physics, Vol. 129, Issue 6
  • DOI: 10.1063/1.2958255

Statistical Mechanics of Fluid Mixtures
journal, May 1935

  • Kirkwood, John G.
  • The Journal of Chemical Physics, Vol. 3, Issue 5
  • DOI: 10.1063/1.1749657

The Number of Structural Isomers of Certain Homologs of Methane and Methanol
journal, July 1932

  • Perry, Douglass
  • Journal of the American Chemical Society, Vol. 54, Issue 7
  • DOI: 10.1021/ja01346a035

The Elements of Statistical Learning
book, January 2001


On representing chemical environments
journal, May 2013


The Elements of Statistical Learning
journal, August 2003


Tuning electronic eigenvalues of benzene via doping
text, January 2007


Molecular grand-canonical ensemble density functional theory and exploration of chemical space
text, January 2006


Conceptual Density Functional Theory
journal, July 2003


Alchemical derivatives of reaction energetics
text, January 2010


Ab initio molecular dynamics calculations of ion hydration free energies
text, January 2009


Structure and band gaps of Ga-(V) semiconductors: The challenge of Ga pseudopotentials
text, January 2008


Variational particle number approach for rational compound design
text, January 2005

  • Von Lilienfeld, O. Anatole; Lins, Roberto D.; Rothlisberger, Ursula
  • American Physical Society
  • DOI: 10.5451/unibas-ep43372

Library of dispersion-corrected atom-centered potentials for generalized gradient approximation functionals: Elements H, C, N, O, He, Ne, Ar, and Kr
text, January 2007

  • Lin, I. Chun; Coutinho-Neto, Mauricio D.; Felsenheimer, Camille
  • American Physical Society
  • DOI: 10.5451/unibas-ep53248

Two- and three-body interatomic dispersion energy contributions to binding in molecules and solids
text, January 2010


Accurate ab initio energy gradients in chemical compound space
text, January 2009


Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density
text, January 1988

  • Robert, Parr,; Chengteh, Lee,; Weitao, Yang,
  • The University of North Carolina at Chapel Hill University Libraries
  • DOI: 10.17615/zrp0-ry04

A gradient-directed Monte Carlo approach to molecular design
text, January 2008


Gaussian Approximation Potentials: the accuracy of quantum mechanics, without the electrons
text, January 2009


High-throughput electronic band structure calculations: challenges and tools
text, January 2010


Separable Dual Space Gaussian Pseudo-potentials
text, January 1995


Variational optimization of effective atom centered potentials for molecular properties
text, January 2005

  • Von Lilienfeld, O. Anatole; Tavernelli, Ivano; Rothlisberger, Ursula
  • AIP Publishing
  • DOI: 10.5451/unibas-ep43373

Works referencing / citing this record:

Quantum Machine Learning in Chemical Compound Space
journal, March 2018

  • von Lilienfeld, O. Anatole
  • Angewandte Chemie International Edition, Vol. 57, Issue 16
  • DOI: 10.1002/anie.201709686

Study of the Chemical Space of Selected Bacteriostatic Sulfonamides from an Information Theory Point of View
journal, November 2016

  • López-Rosa, Sheila; Molina-Espíritu, Moyocoyani; Esquivel, Rodolfo O.
  • ChemPhysChem, Vol. 17, Issue 23
  • DOI: 10.1002/cphc.201600790

Fourier series of atomic radial distribution functions: A molecular fingerprint for machine learning models of quantum chemical properties
journal, April 2015

  • von Lilienfeld, O. Anatole; Ramakrishnan, Raghunathan; Rupp, Matthias
  • International Journal of Quantum Chemistry, Vol. 115, Issue 16
  • DOI: 10.1002/qua.24912

Crystal structure representations for machine learning models of formation energies
journal, April 2015

  • Faber, Felix; Lindmaa, Alexander; von Lilienfeld, O. Anatole
  • International Journal of Quantum Chemistry, Vol. 115, Issue 16
  • DOI: 10.1002/qua.24917

Machine learning for quantum mechanics in a nutshell
journal, July 2015

  • Rupp, Matthias
  • International Journal of Quantum Chemistry, Vol. 115, Issue 16
  • DOI: 10.1002/qua.24954

Exploring chemical space with alchemical derivatives: alchemical transformations of H through Ar and their ions as a proof of concept
journal, January 2019

  • Balawender, Robert; Lesiuk, Michael; De Proft, Frank
  • Physical Chemistry Chemical Physics, Vol. 21, Issue 43
  • DOI: 10.1039/c9cp03935j

Rapid and accurate molecular deprotonation energies from quantum alchemy
journal, January 2020

  • von Rudorff, Guido Falk; von Lilienfeld, O. Anatole
  • Physical Chemistry Chemical Physics, Vol. 22, Issue 19
  • DOI: 10.1039/c9cp06471k

Simulated evolution of fluorophores for light emitting diodes
journal, March 2015

  • Shu, Yinan; Levine, Benjamin G.
  • The Journal of Chemical Physics, Vol. 142, Issue 10
  • DOI: 10.1063/1.4914294

A fingerprint based metric for measuring similarities of crystalline structures
journal, January 2016

  • Zhu, Li; Amsler, Maximilian; Fuhrer, Tobias
  • The Journal of Chemical Physics, Vol. 144, Issue 3
  • DOI: 10.1063/1.4940026

Communication: Understanding molecular representations in machine learning: The role of uniqueness and target similarity
journal, October 2016

  • Huang, Bing; von Lilienfeld, O. Anatole
  • The Journal of Chemical Physics, Vol. 145, Issue 16
  • DOI: 10.1063/1.4964627

Structure-based sampling and self-correcting machine learning for accurate calculations of potential energy surfaces and vibrational levels
journal, June 2017

  • Dral, Pavlo O.; Owens, Alec; Yurchenko, Sergei N.
  • The Journal of Chemical Physics, Vol. 146, Issue 24
  • DOI: 10.1063/1.4989536

Alchemical and structural distribution based representation for universal quantum machine learning
journal, June 2018

  • Faber, Felix A.; Christensen, Anders S.; Huang, Bing
  • The Journal of Chemical Physics, Vol. 148, Issue 24
  • DOI: 10.1063/1.5020710

Machine learning model for non-equilibrium structures and energies of simple molecules
journal, January 2019

  • Iype, E.; Urolagin, S.
  • The Journal of Chemical Physics, Vol. 150, Issue 2
  • DOI: 10.1063/1.5054968

Chemical transferability of functional groups follows from the nearsightedness of electronic matter
journal, October 2017

  • Fias, Stijn; Heidar-Zadeh, Farnaz; Geerlings, Paul
  • Proceedings of the National Academy of Sciences, Vol. 114, Issue 44
  • DOI: 10.1073/pnas.1615053114

Representing molecular and materials data for unsupervised machine learning
journal, April 2018


Inverse molecular design using machine learning: Generative models for matter engineering
journal, July 2018


Mapping and classifying molecules from a high-throughput structural database
journal, February 2017


Machine Learning, Quantum Chemistry, and Chemical Space
book, January 2017

  • Ramakrishnan, Raghunathan; von Lilienfeld, O. Anatole
  • Reviews in Computational Chemistry, Vol. 30
  • DOI: 10.1002/9781119356059.ch5

Conceptual density functional theory: status, prospects, issues
journal, January 2020

  • Geerlings, Paul; Chamorro, Eduardo; Chattaraj, Pratim Kumar
  • Theoretical Chemistry Accounts, Vol. 139, Issue 2
  • DOI: 10.1007/s00214-020-2546-7

Quantum-chemical insights from deep tensor neural networks
journal, January 2017

  • Schütt, Kristof T.; Arbabzadah, Farhad; Chmiela, Stefan
  • Nature Communications, Vol. 8, Issue 1
  • DOI: 10.1038/ncomms13890

Conceptual DFT: chemistry from the linear response function
journal, January 2014

  • Geerlings, Paul; Fias, Stijn; Boisdenghien, Zino
  • Chemical Society Reviews, Vol. 43, Issue 14
  • DOI: 10.1039/c3cs60456j

Operators in quantum machine learning: Response properties in chemical space
journal, February 2019

  • Christensen, Anders S.; Faber, Felix A.; von Lilienfeld, O. Anatole
  • The Journal of Chemical Physics, Vol. 150, Issue 6
  • DOI: 10.1063/1.5053562

Machine learning of molecular electronic properties in chemical compound space
journal, September 2013


Electronic spectra from TDDFT and machine learning in chemical space
text, January 2015


Crystal structure representations for machine learning models of formation energies
text, January 2015


Machine learning of molecular electronic properties in chemical compound space
text, January 2013


Rapid and accurate molecular deprotonation energies from quantum alchemy
text, January 2020


Accelerated materials property predictions and design using motif-based fingerprints
text, January 2015


Electronic Spectra from TDDFT and Machine Learning in Chemical Space
text, January 2015


Quantum-Chemical Insights from Deep Tensor Neural Networks
text, January 2016


Mapping and Classifying Molecules from a High-Throughput Structural Database
preprint, January 2016


Machine learning of molecular electronic properties in chemical compound space
text, January 2013


Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach
journal, April 2015

  • Ramakrishnan, Raghunathan; Dral, Pavlo O.; Rupp, Matthias
  • Journal of Chemical Theory and Computation, Vol. 11, Issue 5
  • DOI: 10.1021/acs.jctc.5b00099

Quantum-chemical insights from deep tensor neural networks
journal, January 2017

  • Schütt, Kristof T.; Arbabzadah, Farhad; Chmiela, Stefan
  • Nature Communications, Vol. 8, Issue 1
  • DOI: 10.1038/ncomms13890

Mapping and Classifying Molecules from a High-Throughput Structural Database
preprint, January 2016


The octet rule in chemical space: Generating virtual molecules
text, January 2017


Alchemical normal modes unify chemical space
preprint, January 2018


Dictionary of 140k GDB and ZINC derived AMONs
preprint, January 2020


New Insights and Horizons from the Linear Response Function in Conceptual DFT
book, January 2019