應(yīng)yl7703永利官網(wǎng)林國教授邀請，鄭州大學(xué)任景莉教授將于2022年6月24日-6月26日與我校有關(guān)師生進行在線學(xué)術(shù)研討，其中6月25日舉行線上專題學(xué)術(shù)報告。

報告題目:Extracting governing system for the plastic deformation of metallic glasses using machine learning

時 間：6月25日下午16:50

騰訊會議ID：790 1862 7942

摘 要：This paper shows hidden information from the plastic deformation of metallic glasses using machine learning. Two model materials, are considered for nano-scratching and compression experiment, respectively. The interconnectedness among variables is probed using correlation analysis. The evolvement mechanism and governing system of plastic deformation are explored by combining dynamical neural networks and sparse identification. The governing system has the same basis function for different experiments, and the coefficient error is ≤0.14% under repeated experiments, revealing the intrinsic quality in metallic glasses. Furthermore, the governing system is conducted based on the preceding result to predict the deformation behavior. This shows that the prediction agrees well with the real value for the deformation process.

任景莉教授簡介

任景莉，鄭州大學(xué)教授，博士生導(dǎo)師，河南省大數(shù)據(jù)研究院副院長。教育部新世紀(jì)優(yōu)秀人才，德國洪堡學(xué)者，河南省學(xué)術(shù)帶頭人，河南省優(yōu)秀專家，中原科技創(chuàng)新領(lǐng)軍人才。研究方向為應(yīng)用數(shù)學(xué)、數(shù)據(jù)科學(xué)和數(shù)字政府，在中國科學(xué)數(shù)學(xué)、Acta Mater.、Appl. Phys. Lett.、IEEE Trans. SMC、Infor. Sci.、J. Stat. Phys.、J. Nonlinear Sci.、 Phys. Rev. B、Phys. Rev. E、Sci. China Phys.和Sci. China Mater.等數(shù)學(xué)、統(tǒng)計、信息、物理、材料、工程等多個學(xué)科重要期刊發(fā)表論文九十多篇。

甘肅應(yīng)用數(shù)學(xué)中心

甘肅省高校應(yīng)用數(shù)學(xué)與復(fù)雜系統(tǒng)省級重點實驗室

yl7703永利官網(wǎng)

萃英學(xué)院

2022年6月22日