Materials Science and Engineering
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Materials Science and Engineering: An Introduction
By David G. Rethwisch, William D. CallisterSupported by WileyPLUS, an integrated online learning environment containing the highly respected Virtual Materials Science and Engineering Lab (VMSE), a materials property database referenced to problems in the text, and new modules in ...
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Materials Science and Engineering: An Introduction, WileyPLUS Card with Loose-leaf Set
By David G. Rethwisch, William D. Callister, Jr.ALERT: The Legacy WileyPLUS platform retires on July 31, 2021 which means the materials for this course will be invalid and unusable.
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Materials Science and Engineering: An Introduction
By David G. Rethwisch, William D. CallisterMaterials Science and Engineering: An Introduction
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Materials Science and Engineering: An Introduction
By David G. Rethwisch, William D. CallisterMaterials Science and Engineering: An Introduction
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Materials Science and Engineering: Volumes 1 and 2 (two volume set)
By A. K. Haghi, Gennady E. Zaikov, Abbas HamrangNalwa, H.S., Nanostructured Materials and Nanotechnology: Concise Edition. 2001: Gulf Professional Publishing ... Balbuena, P. and J.M. Seminario, Nanomaterials: Design and Simulation: Design and Simulation. Vol. 18. 2006: Elsevier. 23.
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Materials Science and Engineering: Chapter 10. Materials Selection for Engineering Design
By Michael Ashby, David Cebon, Elizabeth CopeThe starting point is a set of technical requirements for component or subsystem. These are translated into a set of limits or target values for material properties or property combinations (“material indices”).
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Materials Science and Engineering: Chapter 5. Evolutionary Data-Driven Modeling
By Nirupam ChakrabortiArtificial neural networks (ANNs) and genetic programming (GP) have already emerged as two very effective computing strategies for constructing data-driven models for systems of scientific and engineering interest.
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Materials Science and Engineering: Chapter 20. Data Intensive Imaging and Microscopy: A Multidimensional Data Challenge
By Krishna RajanThis chapter provides an introduction to how data-mining techniques can help to correlate multiple modalities of signals to extract information from images.
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Materials Science and Engineering: Chapter 16. From Drug Discovery QSAR to Predictive Materials QSPR: The Evolution of Descriptors, Methods, and...
By Ke Wu, Bharath Natarajan, Lisa MorkowchukThis chapter describes some of the ways in which cheminformatics and machine learning methods have been adapted for, and utilized in, materials science and engineering applications.
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Materials Science and Engineering: An Introduction
By William D. Callister* Clear and concise discussions This text has received many accolades for its ability to clearly and concisely convey materials science and engineering concepts at an appropriate level to ensure student understanding.
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Materials Science and Engineering: An Introduction
By William D. CallisterThe latest edition of this bestselling textbook treats the important properties of three primary types of material--metals, ceramics, polymers--as well as composites. Describes the relationships that exist between the structural...
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Materials Science and Engineering: An Introduction
By William D. CallisterThe latest edition of this bestselling textbook treats the important properties of three primary types of material--metals, ceramics, polymers--as well as composites. Describes the relationships that exist between the structural...
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Materials Science and Engineering
By Garry ZhuSelected, peer reviewed paper from 2010 International Conference on Materials Science and Engineering Science (ICMSES 2010) in December 11-12, Shenzhen, China
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MATERIALS SCIENCE AND ENGINEERING: An Introduction
By WILLIAM D. CALLISTER JR.The 10th edition provides new or updated coverage on a number of topics, including: the Materials Paradigm and Materials Selection Charts, 3D printing and additive manufacturing, biomaterials, recycling issues and the Hall effect.