Literature DB >> 18687955

Challenges in modeling materials properties without experimental input.

Emily A Carter1.   

Abstract

Simulations of materials behavior are an important component of materials science research, partly because measurements are indirect, requiring theoretical interpretation, and partly because often the ideal experiment simply cannot be performed (due to technological limitations). Empirical physical models used in this context often rely on parameters drawn from experiments on simpler systems, and so introduce various inaccuracies. In contrast, a quantum mechanical model can potentially offer an independent source of data more closely attuned to the complexities of the system at hand. This Perspective reviews current quantum mechanics-based materials modeling approaches and their successes and limitations, and offers a view to the future.

Year:  2008        PMID: 18687955     DOI: 10.1126/science.1158009

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  14 in total

1.  Liquid water simulations with the density fragment interaction approach.

Authors:  Xiangqian Hu; Yingdi Jin; Xiancheng Zeng; Hao Hu; Weitao Yang
Journal:  Phys Chem Chem Phys       Date:  2012-04-02       Impact factor: 3.676

2.  Molecular dynamics of the "hydrophobic patch" that immobilizes hydrophobin protein HFBII on silicon.

Authors:  Clara Moldovan; Damien Thompson
Journal:  J Mol Model       Date:  2011-09       Impact factor: 1.810

3.  Stochastic behavior of nanoscale dielectric wall buckling.

Authors:  Lawrence H Friedman; Igor Levin; Robert F Cook
Journal:  J Appl Phys       Date:  2016-03-16       Impact factor: 2.546

Review 4.  Using nature's blueprint to expand catalysis with Earth-abundant metals.

Authors:  R Morris Bullock; Jingguang G Chen; Laura Gagliardi; Paul J Chirik; Omar K Farha; Christopher H Hendon; Christopher W Jones; John A Keith; Jerzy Klosin; Shelley D Minteer; Robert H Morris; Alexander T Radosevich; Thomas B Rauchfuss; Neil A Strotman; Aleksandra Vojvodic; Thomas R Ward; Jenny Y Yang; Yogesh Surendranath
Journal:  Science       Date:  2020-08-14       Impact factor: 47.728

5.  Ab initio study of PbCr(1-x)S x O4 solid solution: an inside look at Van Gogh Yellow degradation.

Authors:  Ana B Muñoz-García; Arianna Massaro; Michele Pavone
Journal:  Chem Sci       Date:  2016-03-10       Impact factor: 9.825

Review 6.  Towards operando computational modeling in heterogeneous catalysis.

Authors:  Lukáš Grajciar; Christopher J Heard; Anton A Bondarenko; Mikhail V Polynski; Jittima Meeprasert; Evgeny A Pidko; Petr Nachtigall
Journal:  Chem Soc Rev       Date:  2018-11-12       Impact factor: 54.564

7.  Interactions between large molecules pose a puzzle for reference quantum mechanical methods.

Authors:  Yasmine S Al-Hamdani; Péter R Nagy; Andrea Zen; Dennis Barton; Mihály Kállay; Jan Gerit Brandenburg; Alexandre Tkatchenko
Journal:  Nat Commun       Date:  2021-06-24       Impact factor: 14.919

Review 8.  A review of computational methods in materials science: examples from shock-wave and polymer physics.

Authors:  Martin O Steinhauser; Stefan Hiermaier
Journal:  Int J Mol Sci       Date:  2009-12-01       Impact factor: 6.208

9.  Inversion of diffraction data for amorphous materials.

Authors:  Anup Pandey; Parthapratim Biswas; D A Drabold
Journal:  Sci Rep       Date:  2016-09-22       Impact factor: 4.379

Review 10.  Computational Design of Functionalized Metal-Organic Framework Nodes for Catalysis.

Authors:  Varinia Bernales; Manuel A Ortuño; Donald G Truhlar; Christopher J Cramer; Laura Gagliardi
Journal:  ACS Cent Sci       Date:  2017-12-21       Impact factor: 14.553

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