董源教授学术报告:Multiscale Modeling and Deep Learning of Heat Transfer in Low-Dimensional Materials

发布者:赵佳腾发布时间:2020-01-14浏览次数:101


报告题目:Multiscale Modeling and Deep Learning of Heat Transfer in Low-Dimensional Materials


报 告 人:董源 教授


单    位:杭州电子科技大学


报告时间:2020115日 上午10:00


报告地点:计算机楼B215




摘要:

The heat transfer in low-dimensional materials is very important and intriguing phenomena containing the following non-trivial effects: The strong boundary scattering induced thermal conductivity reduction and the low-dimensional effect induced thermal conductivity enhancement. Understanding the underlying mechanism and building reliable models for such heat transfer are critical for the applications in advanced chip cooling, high efficient thermal electrics as well as other energy related nanomaterials. Here we present our work in recent years which targeted on the multiscale modelling of nanoscale heat transfer. The first principles calculation is on the electron scale. The molecular dynamics simulation is on the atomic and molecular scale. The phonon gas model based on the thermomass theory is on the mesoscopic scale. Bridge these scales we have developed a series of fundamental understanding and engineering applicable models, which enhance our capability to harness the energy flow in nanoscale. Finally, the most recent deep learning approaches have yielded initial success through large data training and prediction, which show promising potential in trans-scale modeling of nanoscale heat and mass transfer and energy related phenomena.

报告人简介:

董源,本科与博士均毕业于清华大学航天航空学院,师从过增元院士。曾赴美国麻省理工学院访学,师从陈刚院士。2014年至2019年在美国密苏里大学机械与航空工程系担任研究科学家。现任杭州电子科技大学机械工程学院特聘教授。主要从事新概念热学-热质理论、传热传质学、纳米材料、多尺度模拟等研究工作。目前以第一作者、通讯作者已发SCI论文20篇,其中JCR一区论文15篇,影响因子最高14.356。基于Google Scholar检索的引用数453。他的博士论文被评为清华大学优秀博士论文一等奖,并入选国际知名学术出版社SpringerSpringer Theses--Recognizing Outstanding Ph.D. Research丛书作为专著出版。此外,他的工作还先后获得由中国工程热物理学会颁发的“吴仲华优秀学生奖”以及中国工程热物理学会传热传质学术会议青年优秀论文一等奖等荣誉。兼任中国工程热物理学会传热传质分会青年工作委员会委员,深圳市人工智能产业专家委员会人工智能材料应用首席科学家。

Yuan Dong is currently the distinguished professor in School of Mechanical Engineering, Hangzhou Dianzi University, China. He received a bachelor’s degree in Engineering Mechanics and Aerospace Engineering in 2008, and doctorate in Power Engineering and Engineering Thermophysics in 2014, both from Tsinghua University, Beijing, respectively. He was the Research Scientist in Mechanical and Aerospace Engineering Department at the University of Missouri from 2014 to 2019, before he joined the HDU. His current research interests include the heat and mass transport phenomena in low dimensional materials, novel interfaces and intelligent materials, which are investigated through large scale atomistic simulation tools. He also did some pioneer work in the deep learning approach to intelligently design nano-materials. He has published 20 papers as first, co-first and corresponding author in international peer-reviewed journals. His Google Scholar citation is 453 and the current H-index is 13.

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主办:江苏省高效储能技术与装备工程实验室