Difference between revisions of "Template:Reference list"

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(Created page with "<references> <ref name="caleman_2012"> C. Caleman and P.J. van Maaren and M. Hong and J.S. Hub and L.T. Costa and D. van der Spoel. ''Force field benchmark of organic liquids:...")
 
 
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== Reference list ==
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<references>
 
<references>
<ref name="caleman_2012">
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<ref name="bartok_2010">
C. Caleman and P.J. van Maaren and M. Hong and J.S. Hub and L.T. Costa and D. van der Spoel.
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'''A.P. Bartók, M.C. Payne, R. Kondor, and G. Csányi'''. ''Gaussian approximation potentials: The accuracy of quantum mechanics, without the electrons''.
''Force field benchmark of organic liquids: Density, enthalpy of vaporization, heat capacities, surface tension, isothermal compressibility, volumetric expansion coefficient, and dielectric constant''.
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[https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.104.136403 Phys. Rev. Lett. '''104''', 136403 (2010)].
[http://pubs.acs.org/doi/abs/10.1021/ct200731v J. Chem. Theory Comput. '''8''', 61 (2012)].
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</ref>
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<ref name="muhli_2021">
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'''H. Muhli and M.A. Caro'''. ''GAP interatomic potential for C<sub>60</sub>''. [https://doi.org/10.5281/zenodo.4616343 Zenodo: 10.5281/zenodo.4616343 (2021)].
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</ref>
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<ref name="muhli_2021b">
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'''H. Muhli, X. Chen, A.P. Bartók, P. Hernández-León, G. Csányi, T. Ala-Nissila, and M.A. Caro'''. ''Machine learning force fields based on local parametrization of dispersion interactions: Application to the phase diagram of C<sub>60</sub>''. [https://journals.aps.org/prb/abstract/10.1103/PhysRevB.104.054106 Phys. Rev. B '''104''', 054106 (2021)].
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</ref>
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<ref name="bartok_2013">
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'''AP Bartók, R Kondor, G Csányi'''. ''On representing chemical environments''. [https://journals.aps.org/prb/abstract/10.1103/PhysRevB.87.184115 Phys. Rev. B '''87''', 184115 (2013)].
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</ref>
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<ref name="bartok_2015">
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'''A.P. Bartók and G. Csányi'''. ''Gaussian Approximation Potentials: a brief tutorial introduction''. [https://doi.org/10.1002/qua.24927 Int. J. Quantum Chem. '''115''', 1051 (2015)].
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</ref>
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<ref name="caro_2019">
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'''M.A. Caro'''. ''Optimizing many-body atomic descriptors for enhanced computational performance of machine learning based interatomic potentials''. [https://journals.aps.org/prb/abstract/10.1103/PhysRevB.100.024112 Phys. Rev. B '''100''', 024112 (2019)].
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</ref>
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<ref name="tkatchenko_2009">
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'''A. Tkatchenko and M. Scheffler'''. ''Accurate Molecular Van Der Waals Interactions from Ground-State Electron Density and Free-Atom Reference Data''.
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[https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.102.073005 Phys. Rev. Lett. '''102''', 073005 (2009)].
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</ref>
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<ref name="tkatchenko_2012">
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'''A. Tkatchenko, R.A. DiStasio Jr, R. Car, and M. Scheffler'''. ''Accurate and efficient method for many-body van der Waals interactions''.
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[https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.108.236402 Phys. Rev. Lett. '''108''', 236402 (2012)].
 
</ref>
 
</ref>
  
<ref name="caro_2016">
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<ref name="bartok_2018">
M.A. Caro, T. Laurila, and O. Lopez-Acevedo. ''Accurate schemes for calculation of thermodynamic properties of liquid mixtures from molecular dynamics simulations''. [http://aip.scitation.org/doi/full/10.1063/1.4973001 J. Chem. Phys. '''145''', 244504 (2016)].
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'''A.P. Bartók, J. Kermode, N. Bernstein, and G. Csányi'''. ''Machine learning a general-purpose interatomic potential for silicon''. [https://journals.aps.org/prx/abstract/10.1103/PhysRevX.8.041048 Phys. Rev. X '''8''', 041048 (2018)].
 
</ref>
 
</ref>
  
<ref name="lama_1965">
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<ref name="bartok_2017">
R.F. Lama and B.C.-Y. Lu. ''Excess thermodynamic properties of aqueous alcohol solutions''.
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'''A.P. Bartók, S. De, C. Poelking, N. Bernstein, J.R. Kermode, G. Csányi, and M. Ceriotti'''. ''Machine learning unifies the modeling of materials and molecules''. [https://www.science.org/doi/10.1126/sciadv.1701816 Sci. Adv. '''3''', e1701816 (2017)].
[http://pubs.acs.org/doi/abs/10.1021/je60026a003 J. Chem. Eng. Data '''10''', 216 (1965)].
 
 
</ref>
 
</ref>
  
<ref name="lai_2012">
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<ref name="de_2016">
P.-K. Lai, C.-M. Hsieh and S.-T. Lin. ''Rapid determination of entropy and free energy of mixtures from molecular dynamics simulations with the two-phase thermodynamic model''. [https://doi.org/10.1039/C2CP42011B Phys. Chem. Chem. Phys. '''14''', 15206 (2012)].
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'''S. De, A.P. Bartók, G. Csányi, and M. Ceriotti'''. ''Comparing molecules and solids across structural and alchemical space''. [https://pubs.rsc.org/en/content/articlelanding/2016/cp/c6cp00415f Phys. Chem. Chem. Phys. '''18''', 13754 (2016)].
 
</ref>
 
</ref>
  
<ref name="lin_2003">
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<ref name="hernandez-leon_2023">
S.-T. Lin, M. Blanco and W.A. Goddard III. ''The two-phase model for calculating thermodynamic properties of liquids from molecular dynamics: Validation for the phase diagram of Lennard-Jones fluids''. [https://aip.scitation.org/doi/10.1063/1.1624057 J. Chem. Phys. '''119''', 11792 (2003)].
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'''P. Hernández-León and M.A. Caro'''. ''Cluster-based multidimensional scaling embedding tool for data visualization''. [https://arxiv.org/abs/2209.06614 arXiv:2209.06614 (2023)].
 
</ref>
 
</ref>
  
<ref name="caro_2017b">
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<ref name="kloppenburg_2023">
M.A. Caro, O. Lopez-Acevedo, and T. Laurila}. ''Redox potentials from ab initio molecular dynamics and explicit entropy calculations: application to transition metals in aqueous solution''.
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'''J. Kloppenburg, L.B. Pártay, H. Jónsson, and M.A. Caro'''. ''A general-purpose machine learning Pt interatomic potential for an accurate description of bulk, surfaces, and nanoparticles''. [https://pubs.aip.org/aip/jcp/article/158/13/134704/2883270 J. Chem. Phys. '''158''', 134704 (2023)].
[https://pubs.acs.org/doi/abs/10.1021/acs.jctc.7b00314 J. Chem. Theory Comput. '''13''', 3432 (2017)].
 
 
</ref>
 
</ref>
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</references>
 
</references>

Latest revision as of 12:08, 15 August 2023

Reference list