Literature DB >> 29410499

Two-dimensional materials from high-throughput computational exfoliation of experimentally known compounds.

Nicolas Mounet1, Marco Gibertini2, Philippe Schwaller2, Davide Campi2, Andrius Merkys2,3, Antimo Marrazzo2, Thibault Sohier2, Ivano Eligio Castelli2, Andrea Cepellotti2, Giovanni Pizzi2, Nicola Marzari4.   

Abstract

Two-dimensional (2D) materials have emerged as promising candidates for next-generation electronic and optoelectronic applications. Yet, only a few dozen 2D materials have been successfully synthesized or exfoliated. Here, we search for 2D materials that can be easily exfoliated from their parent compounds. Starting from 108,423 unique, experimentally known 3D compounds, we identify a subset of 5,619 compounds that appear layered according to robust geometric and bonding criteria. High-throughput calculations using van der Waals density functional theory, validated against experimental structural data and calculated random phase approximation binding energies, further allowed the identification of 1,825 compounds that are either easily or potentially exfoliable. In particular, the subset of 1,036 easily exfoliable cases provides novel structural prototypes and simple ternary compounds as well as a large portfolio of materials to search from for optimal properties. For a subset of 258 compounds, we explore vibrational, electronic, magnetic and topological properties, identifying 56 ferromagnetic and antiferromagnetic systems, including half-metals and half-semiconductors.

Year:  2018        PMID: 29410499     DOI: 10.1038/s41565-017-0035-5

Source DB:  PubMed          Journal:  Nat Nanotechnol        ISSN: 1748-3387            Impact factor:   39.213


  67 in total

1.  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
Journal:  MRS Commun       Date:  2019       Impact factor: 2.566

Review 2.  Supercritical Fluid-Facilitated Exfoliation and Processing of 2D Materials.

Authors:  Zhenyu Sun; Qun Fan; Mingli Zhang; Shizhen Liu; Hengcong Tao; John Texter
Journal:  Adv Sci (Weinh)       Date:  2019-07-24       Impact factor: 16.806

3.  Engineering covalently bonded 2D layered materials by self-intercalation.

Authors:  Xiaoxu Zhao; Peng Song; Chengcai Wang; Anders C Riis-Jensen; Wei Fu; Ya Deng; Dongyang Wan; Lixing Kang; Shoucong Ning; Jiadong Dan; T Venkatesan; Zheng Liu; Wu Zhou; Kristian S Thygesen; Xin Luo; Stephen J Pennycook; Kian Ping Loh
Journal:  Nature       Date:  2020-05-13       Impact factor: 49.962

Review 4.  Infrared Light Emission Devices Based on Two-Dimensional Materials.

Authors:  Wenyi Li; Hui Li; Karim Khan; Xiaosong Liu; Hui Wang; Yanping Lin; Lishang Zhang; Ayesha Khan Tareen; S Wageh; Ahmed A Al-Ghamdi; Daoxiang Teng; Han Zhang; Zhe Shi
Journal:  Nanomaterials (Basel)       Date:  2022-08-30       Impact factor: 5.719

Review 5.  Multiscale Design of Graphyne-Based Materials for High-Performance Separation Membranes.

Authors:  Jingjie Yeo; Gang Seob Jung; Francisco J Martín-Martínez; Jennifer Beem; Zhao Qin; Markus J Buehler
Journal:  Adv Mater       Date:  2019-01-15       Impact factor: 30.849

6.  Chemical and Colloidal Dynamics of MnO2 Nanosheets in Biological Media Relevant for Nanosafety Assessment.

Authors:  Evan P Gray; Cynthia L Browning; Charles A Vaslet; Kyle D Gion; Allen Green; Muchun Liu; Agnes B Kane; Robert H Hurt
Journal:  Small       Date:  2020-03-19       Impact factor: 13.281

7.  Iron-based binary ferromagnets for transverse thermoelectric conversion.

Authors:  Akito Sakai; Susumu Minami; Takashi Koretsune; Taishi Chen; Tomoya Higo; Yangming Wang; Takuya Nomoto; Motoaki Hirayama; Shinji Miwa; Daisuke Nishio-Hamane; Fumiyuki Ishii; Ryotaro Arita; Satoru Nakatsuji
Journal:  Nature       Date:  2020-04-27       Impact factor: 49.962

Review 8.  Ab Initio Machine Learning in Chemical Compound Space.

Authors:  Bing Huang; O Anatole von Lilienfeld
Journal:  Chem Rev       Date:  2021-08-13       Impact factor: 60.622

9.  A roadmap for interlayer excitons.

Authors:  Kai-Qiang Lin
Journal:  Light Sci Appl       Date:  2021-05-08       Impact factor: 17.782

10.  Simplifying inverse materials design problems for fixed lattices with alchemical chirality.

Authors:  Guido Falk von Rudorff; O Anatole von Lilienfeld
Journal:  Sci Adv       Date:  2021-05-19       Impact factor: 14.136

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