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11
Accurate statistical associating fluid theory for chain molecules formed from Mie segments
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Accurate statistical associating fluid theory for chain molecules formed from Mie segments

Lafitte, Thomas ; Apostolakou, Anastasia ; Avendaño, Carlos ; Galindo, Amparo ; Adjiman, Claire S ; Müller, Erich A ; Jackson, George

The Journal of chemical physics, 2013-10, Vol.139 (15), p.154504-154504 [Periódico revisado por pares]

United States

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12
SparseMaps—A systematic infrastructure for reduced scaling electronic structure methods. V. Linear scaling explicitly correlated coupled-cluster method with pair natural orbitals
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SparseMaps—A systematic infrastructure for reduced scaling electronic structure methods. V. Linear scaling explicitly correlated coupled-cluster method with pair natural orbitals

Pavošević, Fabijan ; Peng, Chong ; Pinski, Peter ; Riplinger, Christoph ; Neese, Frank ; Valeev, Edward F.

The Journal of chemical physics, 2017-05, Vol.146 (17), p.174108-174108 [Periódico revisado por pares]

United States

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13
The ORCA quantum chemistry program package
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The ORCA quantum chemistry program package

Neese, Frank ; Wennmohs, Frank ; Becker, Ute ; Riplinger, Christoph

The Journal of chemical physics, 2020-06, Vol.152 (22), p.224108-224108 [Periódico revisado por pares]

Melville: American Institute of Physics

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14
Scalable molecular dynamics on CPU and GPU architectures with NAMD
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Scalable molecular dynamics on CPU and GPU architectures with NAMD

Phillips, James C. ; Hardy, David J. ; Maia, Julio D. C. ; Stone, John E. ; Ribeiro, João V. ; Bernardi, Rafael C. ; Buch, Ronak ; Fiorin, Giacomo ; Hénin, Jérôme ; Jiang, Wei ; McGreevy, Ryan ; Melo, Marcelo C. R. ; Radak, Brian K. ; Skeel, Robert D. ; Singharoy, Abhishek ; Wang, Yi ; Roux, Benoît ; Aksimentiev, Aleksei ; Luthey-Schulten, Zaida ; Kalé, Laxmikant V. ; Schulten, Klaus ; Chipot, Christophe ; Tajkhorshid, Emad

The Journal of chemical physics, 2020-07, Vol.153 (4), p.044130-044130 [Periódico revisado por pares]

United States: American Institute of Physics

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15
Quantum ESPRESSO toward the exascale
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Quantum ESPRESSO toward the exascale

Giannozzi, Paolo ; Baseggio, Oscar ; Bonfà, Pietro ; Brunato, Davide ; Car, Roberto ; Carnimeo, Ivan ; Cavazzoni, Carlo ; de Gironcoli, Stefano ; Delugas, Pietro ; Ferrari Ruffino, Fabrizio ; Ferretti, Andrea ; Marzari, Nicola ; Timrov, Iurii ; Urru, Andrea ; Baroni, Stefano

The Journal of chemical physics, 2020-04, Vol.152 (15), p.154105-154105 [Periódico revisado por pares]

United States: American Institute of Physics

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16
Diffusion with resetting in a logarithmic potential
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Diffusion with resetting in a logarithmic potential

Ray, Somrita ; Reuveni, Shlomi

The Journal of chemical physics, 2020-06, Vol.152 (23), p.234110-234110 [Periódico revisado por pares]

Melville: American Institute of Physics

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17
Gaussian and plane-wave mixed density fitting for periodic systems
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Gaussian and plane-wave mixed density fitting for periodic systems

Sun, Qiming ; Berkelbach, Timothy C. ; McClain, James D. ; Chan, Garnet Kin-Lic

The Journal of chemical physics, 2017-10, Vol.147 (16), p.164119-164119 [Periódico revisado por pares]

United States: American Institute of Physics

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18
The Molpro quantum chemistry package
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The Molpro quantum chemistry package

Werner, Hans-Joachim ; Knowles, Peter J. ; Manby, Frederick R. ; Black, Joshua A. ; Doll, Klaus ; Heßelmann, Andreas ; Kats, Daniel ; Köhn, Andreas ; Korona, Tatiana ; Kreplin, David A. ; Ma, Qianli ; Miller, Thomas F. ; Mitrushchenkov, Alexander ; Peterson, Kirk A. ; Polyak, Iakov ; Rauhut, Guntram ; Sibaev, Marat

The Journal of chemical physics, 2020-04, Vol.152 (14), p.144107-144107 [Periódico revisado por pares]

United States: American Institute of Physics

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19
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics
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Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics

Wehmeyer, Christoph ; Noé, Frank

The Journal of chemical physics, 2018-06, Vol.148 (24), p.241703-241703 [Periódico revisado por pares]

United States

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20
A reactive, scalable, and transferable model for molecular energies from a neural network approach based on local information
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A reactive, scalable, and transferable model for molecular energies from a neural network approach based on local information

Unke, Oliver T. ; Meuwly, Markus

The Journal of chemical physics, 2018-06, Vol.148 (24), p.241708-241708 [Periódico revisado por pares]

United States

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