首页|New Machine Learning Research from Indian Institute of Technology Delhi Discusse d (Interpretable machine learning for understanding compositional and testing co ndition effects on refractive index, density, dielectric constant, and loss tang ent ...)
New Machine Learning Research from Indian Institute of Technology Delhi Discusse d (Interpretable machine learning for understanding compositional and testing co ndition effects on refractive index, density, dielectric constant, and loss tang ent ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from New Del hi, India, by NewsRx correspondents, research stated, “Artificial intelligence ( AI) and machine learning (ML) have enabled property-targeted design of glasses.” The news journalists obtained a quote from the research from Indian Institute of Technology Delhi: “Several machine learning models and open-source tools in the literature allow researchers to predict the optical, physical, mechanical, and electrical properties of glasses as a function of their chemical compositions. H owever, these properties also depend on testing conditions. In this paper, we tr ain machine learning models by considering composition and wavelength, temperatu re, and frequency to predict the refractive index, density, and the two electric al properties, i.e., dielectric constant and loss tangent of glasses, respective ly. The predictions of trained models are explained using SHAP analysis, reveali ng that testing conditions, such as wavelength and temperature, interact majorly with network formers while predicting refractive index and density. In the case of electrical properties, network formers and frequency have the highest intera ctions, followed by network modifiers and intermediates, and hence govern predic tions of dielectric constant and loss tangent.”
Indian Institute of Technology DelhiNe w DelhiIndiaAsiaCyborgsEmerging TechnologiesMachine Learning
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