Date: Friday, June 03, 2011 Discipline: Engineering File Name: Smart Materials Structures.ens Publisher: American Physical Society URL: Based On: Bibliography Sort Order: Appearance-Order BibField1: Author BibField2: Journal BibField3: Volume Indent: Y Download...
Buy EndNotearrow_forward Learn morearrow_forward Request a trialarrow_forward Need help? Get support Fatigue and Fracture of Engineering Materials and Structures Citation Style:Superscripted Number Date:Friday, April 06, 2018 Discipline:Engineering ...
Multidiscipline Modeling in Materials and Structures (MMMS) is an international journal for the latest research and developments on multidiscipline modelling in materials and structures from both traditional and interdisciplinary subject areas
期刊名: Smart Materials and Structures期刊名缩写:SMART MATER STRUCT期刊ISSN:0964-1726E-ISSN:1361-665X2024年影响因子/JCR分区:3.7/Q2学科与分区:INSTRUMENTS & INSTRUMENTATION - SCIE(Q2); MATERIALS SCIENCE, MULTIDISCIPLINARY - SCIE(Q2)出版国家或地区:ENGLAND...
RIS (for EndNote, Reference Manager, ProCite) BibTeX Text RefWorks Direct Export Content Citation Only Citation and Abstract Advanced search This document does not have an outline. Article outline is loading...Fibre Science and Technology Volume 17, Issue 2, September 1982, Pages 155–...
RT,PhD candidate期间第四篇~顺便为后两篇祈福~
Previously Professor and Head of Functional Materials at Sheffield Hallam University, UK. BSc and PhD in Physics, both at UMIST, UK. Research interests include defects in electronic materials including oxides, solar cells, LEDs, semiconductor quantum structures, novel materials for electronic devices. ...
The manuscript should be submitted online via the journal’s website athttp://mater.scichina.comorhttp://www.springer.com/materials/journal/40843,or directly through the ScholarOne Manuscript System (http://mc03.manuscriptcentral.com/scms). Complete instructions and an overview of the electronic ...
没有应用，单纯制备和表征，大家建议下投materials science and engineering A B C哪个比较好啊 ...
Results are obtained from one hidden layer and two hidden layers neural network structures for both adopted algorithms. Detailed comparisons have been made based on the Root Mean Square Error. The results are demonstrating that the one hidden layer with one neuron using BFGS training algorithm ...