教師資料查詢 | 類別: 期刊論文 | 教師: 李明憲 LEE, MING-HSIEN (瀏覽個人網頁)

標題:First-Principles High-Throughput Screening Pipeline for Nonlinear Optical Materials: Application to Borates
學年
學期
出版(發表)日期2020/08/11
作品名稱First-Principles High-Throughput Screening Pipeline for Nonlinear Optical Materials: Application to Borates
作品名稱(其他語言)
著者Bingbing Zhang; Xiaodong Zhang; Jin Yu; Ying Wang; Kui Wu; Ming-Hsien Lee
單位
出版者
著錄名稱、卷期、頁數Chemistry of Materials 32(15), p.6772–6779
摘要Discovering new nonlinear optical (NLO) materials that require an optimization between multiple properties is a time-consuming and high-cost process. To speed up material development, a first-principles high-throughput screening pipeline for nonlinear optical materials (FHSP-NLO) that combines density functional theory (DFT) codes, linear and nonlinear optical property calculation codes, and data transformation and extraction codes has been developed for searching promising NLO materials from crystals collected in the Inorganic Crystal Scientific Structure Database (ICSD). The tests for a dozen of well-known NLO crystals covering deep-ultraviolet (DUV), UV, vis–NIR, and middle/far-infrared (M-F-IR) wavelength ranges verify the high-accuracy of FHSP-NLO. Subsequently, nearly 300 noncentrosymmetric borates are tested with FHSP-NLO. The screened deep-ultraviolet (DUV) NLO crystals are fully consistent with previously reported results. Besides, five crystals, whose NLO properties have not been reported, i.e., B2S2O9, Al4B6O15, HP-Na2B4O7, KB(SO3CI)4, and H3BO3-3T, are identified as new promising NLO materials. Two hydrated borates [Ca2B5O9]·[H(OH)2] and Ca(B8O11(OH)4), whose second-harmonic generation (SHG) responses are primarily measured, are screened out and suggested to grow large-size crystals for further evaluation. FHSP-NLO provides a powerful and efficient tool to screen and reduce the total number of experiments necessary for searching NLO materials from reported crystals.
關鍵字
語言英文
ISSN1520-5002
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
相關連結
SDGs
Google+ 推薦功能,讓全世界都能看到您的推薦!