Literature DB >> 32166206

Elastic properties of bulk and low-dimensional materials using Van der Waals density functional.

Kamal Choudhary1, Gowoon Cheon2, Evan Reed2, Francesca Tavazza1.   

Abstract

In this work, we present a high-throughput first-principles study of elastic properties of bulk and monolayer materials mainly using the vdW-DF-optB88 functional. We discuss the trends on the elastic response with respect to changes in dimensionality. We identify a relation between exfoliation energy and elastic constants for layered materials that can help to guide the search for vdW bonding in materials. We also predicted a few novel materials with auxetic behavior. The uncertainty in structural and elastic properties due to the inclusion of vdW interactions is discussed. We investigated 11,067 bulk and 257 monolayer materials. Lastly, we found that the trends in elastic constants for bulk and their monolayer counterparts can be very different. All the computational results are made publicly available at easy-to-use websites: https://www.ctcms.nist.gov/~knc6/JVASP.html and https://jarvis.nist.gov/. Our dataset can be used to identify stiff and flexible materials for industrial applications.

Entities:  

Year:  2018        PMID: 32166206      PMCID: PMC7067065          DOI: 10.1103/physrevb.98.014107

Source DB:  PubMed          Journal:  Phys Rev B            Impact factor:   4.036


  32 in total

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Journal:  Nat Commun       Date:  2014-12-17       Impact factor: 14.919

9.  Elastic properties of chemical-vapor-deposited monolayer MoS2, WS2, and their bilayer heterostructures.

Authors:  Kai Liu; Qimin Yan; Michelle Chen; Wen Fan; Yinghui Sun; Joonki Suh; Deyi Fu; Sangwook Lee; Jian Zhou; Sefaattin Tongay; Jie Ji; Jeffrey B Neaton; Junqiao Wu
Journal:  Nano Lett       Date:  2014-08-19       Impact factor: 11.189

10.  Computational methods for 2D materials: discovery, property characterization, and application design.

Authors:  J T Paul; A K Singh; Z Dong; H Zhuang; B C Revard; B Rijal; M Ashton; A Linscheid; M Blonsky; D Gluhovic; J Guo; R G Hennig
Journal:  J Phys Condens Matter       Date:  2017-11-29       Impact factor: 2.333

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  13 in total

1.  Machine learning with force-field inspired descriptors for materials: fast screening and mapping energy landscape.

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Journal:  Phys Rev Mater       Date:  2018       Impact factor: 3.989

2.  Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics.

Authors:  Rama K Vasudevan; Kamal Choudhary; Apurva Mehta; Ryan Smith; Gilad Kusne; Francesca Tavazza; Lukas Vlcek; Maxim Ziatdinov; Sergei V Kalinin; Jason Hattrick-Simpers
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3.  Convergence and machine learning predictions of Monkhorst-Pack k-points and plane-wave cut-off in high-throughput DFT calculations.

Authors:  Kamal Choudhary; Francesca Tavazza
Journal:  Comput Mater Sci       Date:  2019       Impact factor: 3.300

4.  Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods.

Authors:  Kamal Choudhary; Marnik Bercx; Jie Jiang; Ruth Pachter; Dirk Lamoen; Francesca Tavazza
Journal:  Chem Mater       Date:  2019       Impact factor: 9.811

5.  Uncertainty Quantification in Atomistic Modeling of Metals and Its Effect on Mesoscale and Continuum Modeling: A Review.

Authors:  Joshua J Gabriel; Noah H Paulson; Thien C Duong; Francesca Tavazza; Chandler A Becker; Santanu Chaudhuri; Marius Stan
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6.  Moving closer to experimental level materials property prediction using AI.

Authors:  Dipendra Jha; Vishu Gupta; Wei-Keng Liao; Alok Choudhary; Ankit Agrawal
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

7.  Uncertainty Prediction for Machine Learning Models of Material Properties.

Authors:  Francesca Tavazza; Brian DeCost; Kamal Choudhary
Journal:  ACS Omega       Date:  2021-11-23

8.  Stacking effects in van der Waals heterostructures of blueP and Janus XYO (X = Ti, Zr, Hf: Y = S, Se) monolayers.

Authors:  Qaisar Alam; M Idrees; S Muhammad; Chuong V Nguyen; M Shafiq; Y Saeed; H U Din; B Amin
Journal:  RSC Adv       Date:  2021-03-25       Impact factor: 3.361

9.  Density functional theory-based electric field gradient database.

Authors:  Kamal Choudhary; Jaafar N Ansari; Igor I Mazin; Karen L Sauer
Journal:  Sci Data       Date:  2020-10-21       Impact factor: 6.444

10.  Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning.

Authors:  Dipendra Jha; Kamal Choudhary; Francesca Tavazza; Wei-Keng Liao; Alok Choudhary; Carelyn Campbell; Ankit Agrawal
Journal:  Nat Commun       Date:  2019-11-22       Impact factor: 14.919

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