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most citedFast and Accurate Modeling of Molecular Atomization Energies with Machine Learning

2.4k citations

Showing 2016 · physics.chem-phShow all

7 papers · 2 filters

physics.chem-ph2016★ 1 cited

Mapping and Classifying Molecules from a High-Throughput Structural Database

Sandip De, Felix Musil, Teresa Ingram +2

High-throughput computational materials design promises to greatly accelerate the process of discovering new materials and compounds, and of optimizing their properties. The large…

physics.chem-ph2016★ 1.2k cited

Machine Learning of Accurate Energy-Conserving Molecular Force Fields

Stefan Chmiela, Alexandre Tkatchenko, Huziel E. Sauceda +3

Using conservation of energy - a fundamental property of closed classical and quantum mechanical systems - we develop an efficient gradient-domain machine learning (GDML) approach…

physics.chem-ph2016★ 1.5k cited

Quantum-Chemical Insights from Deep Tensor Neural Networks

Kristof T. Schütt, Farhad Arbabzadah, Stefan Chmiela +2

Learning from data has led to paradigm shifts in a multitude of disciplines, including web, text, and image search, speech recognition, as well as bioinformatics. Can machine learn…

physics.chem-ph2016★ 17 cited

Intramolecular Torque, an Indicator of the Internal Rotation Direction of Rotor Molecules and Similar Systems

Rui-Qin Zhang, Yan-Ling Zhao, Fei Qi +2

Torque is ubiquitous in many molecular systems, including collisions, chemical reactions, vibrations, electronic excitations and especially rotor molecules. We present a straightfo…

physics.chem-ph2016★ 6 cited

Effect of rotational-state-dependent molecular alignment on the optical dipole force

Lee Yeong Kim, Ju Hyeon Lee, Hye Ah Kim +3

The properties of molecule-optical elements such as lenses or prisms based on the interaction of molecules with optical fields depend in a crucial way on the molecular quantum stat…

physics.chem-ph2016★ 3 cited

Quantum Tunneling of Thermal Protons Through Pristine Graphene

Igor Poltavsky, Limin Zheng, Majid Mortazavi +1

Atomically thin two-dimensional materials such as graphene and hexagonal boron nitride have recently been found to exhibit appreciable permeability to thermal protons, making these…

physics.chem-ph2016★ 6 cited

Pair-eigenstates and mutual alignment of coupled molecular rotors in a magnetic field

Ketan Sharma, Bretislav Friedrich

We examine the rotational states of a pair of polar molecules subject to a uniform magnetic field. The electric dipole-dipole interaction between the molecules creates entang…