Material Science And Metallurgy By Uc Jindal 54.pdf 📌

Material Science And Metallurgy By Uc Jindal 54.pdf 📌



 
 
 
 
 
 
 

Material Science And Metallurgy By Uc Jindal 54.pdf

for example, a question one might ask is: what about the great extent of cross-disciplinary applications of statistical machine learning to materials science, which were the subject of an absolutely recent keynote on which i was a panelist? 9 some of the major applications include:

today’s data science and materials informatics scientists – and those who teach them – are at a critical juncture with’teaching by example.’ they must work with an eclectic mix of undergraduate and graduate students who may be familiar with data, say, for their artificial neural network analysis, but lack familiarity with the details of the physical and statistical theory that are behind that analysis. when describing the underlying theory to such students, often it is difficult to know where to begin. scientists who have become comfortable working with data may be unprepared to address particular aspects of a question that demand physical insight (e.g., a problem asking for to predict the growth rate or equilibrium size of a particle). likewise, students with an interest in both of these domains may need help learning how to interweave the material physical theory with that analysis.

at a more fundamental level, efforts to promote teaching and learning materials science and metallurgy should encourage students and the broader scientific community to think of material science and metallurgy 9 as a genuine science, a reality not always appreciated by those who train the next generation of materials scientists. the enduring work of some giants of materials science has shown that the pursuit of knowledge is as intellectually demanding and rewarding as that of any other science – and this must be emphasized in the teaching of new materials science and metallurgy students.

dr neeraj kumar is senior assistant professor in the department of metallurgical engineering, soe, op jindal university, raigarh, chhattisgarh, india. he obtained an m.tech in metallurgical engineering from thapar university, patiala, punjab and holds a masters degree from chaudhary charan singh university (formerly, meerut university), uttar pradesh, and ph.d. in metallurgical engineering from nit raipur, chhattisgarh, india. dr neeraj has 13 years plus experience teaching at the engineering graduate and postgraduate levels. additionally, he works on different research areas of nanotechnology, including electrochemical corrosion, composites, nanostructured materials, wear, aluminium and its composites, and also on various automotive engineering applications. dr neeraj has already been granted 3 international patents (australia, germany) and one more german patent has been filed. he has published 15+ research papers in international journals of repute, written 2+ book chapters, and presented 12+ papers at national and international conferences in various countries like the uae, nepal, and south korea.
these efforts in materials informatics, and the resulting applications in materials science and materials engineering, are expected to help in the development of advanced materials through a bottom-up (from physics to architecture) approach. a special focus on the use of such data-driven tools would allow for the direct prediction of properties at higher levels of the hierarchy, such as the single-particle structure and microstructure, rather than indirectly through the use of phenomenological models, which are commonly used in materials modelling.
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