Modeling for Structural Engineering and Synthesis of Two-Dimensional WSe2 Using a Newly Developed ReaxFF Reactive Force Field
Modeling for Structural Engineering and Synthesis of Two-Dimensional WSe2 Using a Newly Developed ReaxFF Reactive Force Field
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DOI:
10.1021/acs.jpcc.0c09155
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发表时间:
2020-12
影响因子:
3.7
通讯作者:
Nadire Nayir;Yuanxi Wang;S. Shabnam;D. R. Hickey;L. Miao;Xiaotian Zhang;S. Bachu;N. Alem;J. Red
中科院分区:
文献类型:
--
作者:
Nadire Nayir;Yuanxi Wang;S. Shabnam;D. R. Hickey;L. Miao;Xiaotian Zhang;S. Bachu;N. Alem;J. Red
Atomistic simulation techniques have become an indispensable tool to acquire a fundamental understanding of growth and structural characteristics of two-dimensional (2D) materials of interest, thereby accelerating experimental research in the same field. A new ReaxFF reactive force field presented here is the first comprehensive empirical potential that is explicitly designed to capture the most prominent features of 2D WSe2solid-phase chemistry, such as defect formation as a function of local geometry and chalcogen chemical potential, vacancy migration and phase transition, thus enabling cost-effective and reliable characterization of 2D WSe2at large length scales and time scales much longer than what is accessible by first-principles theory. This potential, validated using extensive first-principles energetics data on both periodic and nonperiodic systems and experimental measurements, can accurately describe the mechanochemical coupling between monolayer deformations and vacancy energetics, providing valuable atomistic insights into the morphological evolution of a monolayer in different environments in terms of loading conditions and various concentrations and distributions of defects. Since understanding how growth is affected by the local chemical environment is vital to fabricating efficient and functional atomically thin 2D WSe2, the new ReaxFF description enables investigations of edge-controlled growth of single crystals of 2D WSe2using reactive environments closely matching experimental conditions at a low computational cost.