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Materials science and engineering

CA (United States) Lawrence Livermore National Lab., D Lesuer, USDOE, Washington, DC (United States) (1997)

During FY-96, work within the Materials Science and Engineering Thrust Area was focused on material modeling. Our motivation for this work is to develop the capability to study the structural response of materials as well as material proces...

OPENALEX Open Access DOI: https://doi.org/10.2172/623044

Explainable machine learning in materials science

Xiaoting Zhong, Brian J. Gallagher, Shusen Liu, Bhavya Kailkhura et al. • npj Computational Materials (2022)

Abstract Machine learning models are increasingly used in materials studies because of their exceptional accuracy. However, the most accurate machine learning models are usually difficult to explain. Remedies to this problem lie in explaina...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41524-022-00884-7

Phase-field models in materials science

Ingo Steinbach • Modelling and Simulation in Materials Science and Engineering (2009)

The phase-field method is reviewed against its historical and theoretical background. Starting from Van der Waals considerations on the structure of interfaces in materials the concept of the phase-field method is developed along historical...

OPENALEX DOI: https://doi.org/10.1088/0965-0393/17/7/073001

Materials Science and Engineering

Lashawn M. Gehrig, Xinyu Hu • Trans Tech Publications Ltd. eBooks (2023)

This edition presents the articles devoted mainly to materials processing technologies of steel and alloys, materials properties and advanced manufacturing technologies in the related fields of materials. All of them were selected from the ...

OPENALEX DOI: https://doi.org/10.4028/b-56k662

Materials Science and Engineering

Information Resources Management Association, David Bogataj • IGI Global eBooks (2017)

The science-based stockpile stewardship program emphasizes a better understanding of how complex components function through advanced computer calculations. Many of the problem areas are in the behavior of materials making up the equipment....

OPENALEX Open Access DOI: https://doi.org/10.4018/978-1-5225-1798-6

Materials Science of Synthetic Membranes

Douglas R. Lloyd • ACS symposium series (1985)

Material science aspects of synthetic polymeric membranes are presented in this survey. The objective is to place each of the subsequent chapters of this volume into proper perspective. Therefore, frequent reference is made to the accompany...

OPENALEX DOI: https://doi.org/10.1021/bk-1985-0269

Practical Handbook of Materials Science

Charles W. Lynch • CRC Press eBooks (1989)

CRC Practical Handbooks are a series of single-volume bench manuals that feature a synthesis of frequently used, basic reference information. These highly abridged versions of existing CRC multi-volume Handbooks contain largely tabular and ...

OPENALEX DOI: https://doi.org/10.1201/9781003041047

Principles of Materials Science and Engineering

William F. Smith • Journal of International Crisis and Risk Communication Research (1986)

This book attempts to provide basic knowledge about the structure, properties, and processing of engineering materials and their applications. The first chapter gives an introduction to materials science and engineering and briefly describe...

OPENALEX Open Access

Thermodynamics and Kinetics in Materials Science

Boris S. Bokstein, Mikhail I. Mendelev, David J. Srolovitz • Oxford University Press eBooks (2005)

This text presents a concise and thorough introduction to the main concepts and practical applications of thermodynamics and kinetics in materials science. It is designed with two types of uses in mind: firstly for one or two semester unive...

OPENALEX DOI: https://doi.org/10.1093/oso/9780198528036.001.0001

Big data and machine learning for materials science

Jose Fernando Rodrigues Junior, Larisa Florea, Maria Cristina Ferreira de Oliveira, Dermot Diamond et al. • Discover Materials (2021)

Herein, we review aspects of leading-edge research and innovation in materials science that exploit big data and machine learning (ML), two computer science concepts that combine to yield computational intelligence. ML can accelerate the so...

OPENALEX cc-by DOI: https://doi.org/10.1007/s43939-021-00012-0 PMC: 8054236

CRC Materials Science and Engineering Handbook

James F. Shackelford, Young-Hwan Han, Sukyoung Kim, Se-Hun Kwon • CRC Press eBooks (2015)

CRC Materials Science and Engineering Handbook provides a convenient, single-volume source for physical and chemical property data on a wide range of engineering materials. As with the first three editions, this Fourth Edition contains info...

OPENALEX DOI: https://doi.org/10.1201/b18971