講座題目：Acceleating the Discovery of Solid State Materials:From Traditional to Machine-Learning Approaches
主講人🧛🏻：Arthur Mar教授 加拿大阿爾伯塔大學
主講人簡介：Arthur Mar教授1992年在美國西北大學獲得博士學位，2004-至今為阿爾伯塔大學教授，2003-2008年擔任Chemisty of Matenials雜誌編委。Arthur Mar教授的主要研究方向為磷化物、砷化物以及硫族化合物的合成🧙🏻♀️、結構測定及相關性能研究🐜。在Accounts of Chemical Research, Journal of the American Chemical Society等國際著名期刊上發表研究論文數百余篇。
講座內容簡介：Traditional approaches to search for new solid state materials can involve systematic investigations (e.g., phase diagrams), serendipitous discoveries, or, for limited classes of compounds, rational strategies for manipulating building blocks. Answering the call of the Materials Genome Initiative,1 launched in 2011, to “discover, develop, and deploy new materials twice as fast,” we are applying high-throughput machine-learning methods to predict the structures of new compounds and optimize properties of materials. An ambitious goal is to classify structures of intermetallics, including unknown ones, solely on the basis of their compositions; these encompass binary AB compounds, ternary ABC compounds, Heusler and half-Heusler phases. In collaboration with Citrine Informatics,2 machine-learning approaches have also been used to search for unconventional candidates for thermoelectric materials.
講座時間：2019年 5月15日 10：00-11🤸🏼：00
講座地點：實訓樓4號樓4405室
主辦單位👩🏻💻：意昂2