Experiments in Materials Science And Engineering

Computational Methods And Experiments In Materials Characterisation II (repost)

C. A. Brebbia, A. A. Mammoli, "Computational Methods And Experiments In Materials Characterisation II"
English | 2005 | ISBN: 1845640314 | 368 pages | PDF | 13,8 MB
Deformation Processes in TRIP/TWIP Steels: In-Situ Characterization Techniques (Springer Series in Materials Science

Anja Weidner, "Deformation Processes in TRIP/TWIP Steels: In-Situ Characterization Techniques (Springer Series in Materials Science "
English | ISBN: 3030371484 | 2020 | 514 pages | EPUB, PDF | 97 MB + 22 MB

Materials Characterisation  eBooks & eLearning

Posted by Underaglassmoon at Dec. 31, 2018
Materials Characterisation

Materials Characterisation
WIT Press| English | 2018 | ISBN-10: 1784663077 | 178 pages | PDF | 34.33 MB

Computational Mechanics by D. O. Northwood (Author, Editor), T. Rang (Editor), J. De Hosson (Editor), C. A. Brebbia (Editor)
Containing selected papers on Materials Characterisation this volume presents the latest research in the field. Material and contact characterisation is a rapidly advancing field that requires the application of a combination of numerical and experimental methods

Thermodynamics and Kinetics in Materials Science (Repost)  eBooks & eLearning

Posted by DZ123 at March 23, 2018
Thermodynamics and Kinetics in Materials Science (Repost)

Boris S. Bokstein, Mikhail I. Mendelev, David J. Srolovitz, "Thermodynamics and Kinetics in Materials Science"
English | 2005 | ISBN: 0198528035 | PDF | pages: 341 | 2.3 mb

Electron Backscatter Diffraction in Materials Science (2nd edition) [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Nov. 12, 2013
Electron Backscatter Diffraction in Materials Science (2nd edition) [Repost]

Adam J. Schwartz, Mukul Kumar, Brent L. Adams, David P. Field - Electron Backscatter Diffraction in Materials Science (2nd edition)
Published: 2009-06-25 | ISBN: 0387881352 | PDF | 403 pages | 29 MB

"Fire Safety: Science and Engineering" ed. by Harmathy T.Z.  eBooks & eLearning

Posted by exLib at May 6, 2013
"Fire Safety: Science and Engineering" ed. by Harmathy T.Z.

"Fire Safety: Science and Engineering" ed. by Harmathy T.Z.
American Society for Testing and Materials, ASTM Special Technical Paper 882
ASTM | 1985 | ISBN: 080310426X 9780803104266 | 442 pages | PDF | 7 MB

The techniques, models, and research results provide engineering approaches for predicting the course of fire, the response of fire safety features, and the impact on people and property.

Multiscale Characterization of Biological Systems  eBooks & eLearning

Posted by Underaglassmoon at Dec. 9, 2015
Multiscale Characterization of Biological Systems

Multiscale Characterization of Biological Systems: Spectroscopy and Modeling
Springer | Chemistry | December 02, 2015 | ISBN-10: 1493934511 | 93 pages | pdf | 6.58 mb

by Vikas Tomar (Author), Tao Qu (Author), Devendra K. Dubey (Author), Devendra Verma (Author), Yang Zhang (Author)
Details spectroscope experiments as well as nanomechanic experiments
Reviews exhaustively phenomenological models and Raman spectroscopy of biological systems
Covers the latest in multiscaling for molecular models to predict lab-scale sample properties and investigates interface thermomechanics

Experimental Methods on Polymers, Nanomaterials and Their Nanocomposites  eBooks & eLearning

Posted by Underaglassmoon at March 13, 2018
Experimental Methods on Polymers, Nanomaterials and Their Nanocomposites

Experimental Methods on Polymers, Nanomaterials and Their Nanocomposites
Nova | English | 2016 | ISBN-10: 1634843584 | 369 pages | PDF | 6.52 mb

by Niranjan Karak (Editor)

Shock Compression of Condensed Materials  eBooks & eLearning

Posted by insetes at July 5, 2020
Shock Compression of Condensed Materials

Shock Compression of Condensed Materials By R. F. Trunin
2005 | 180 Pages | ISBN: 0521019249 | PDF | 3 MB

Materials Data Science  eBooks & eLearning

Posted by AvaxGenius at May 11, 2024
Materials Data Science

Materials Data Science: Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering by Stefan Sandfeld
English | PDF EPUB (True) | 2024 | 629 Pages | ISBN : 3031465644 | 139.7 MB

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods and algorithms introduced are implemented “from scratch” using Python and NumPy.