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A Few Key Scientific Advances of MGE

Xiaodong Xiang^1,*

1 Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China

* Corresponding Author: Xiaodong Xiang. Email:

The International Conference on Computational & Experimental Engineering and Sciences 2024, 29(1), 1-1. https://doi.org/10.32604/icces.2024.012861

Abstract

Material genes could be understood as the relationship between composition (element, valence state, function group, etc.), structure (lattice, molecular weight, defect, etc.), thermodynamic parameters (temperature, time, pressure, etc.) and physical properties, represented as materials phase diagrams [1-3]. I will discuss 1) a recently developed an optical plasma resonance spectrum method to characterize the electrical transport properties; 2）the progress in studying dynamic phase diagrams；3）the progress using advanced neural network algorisms to predict materials key properties.

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Keywords

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