International Journal for Multiscale Computational Engineering
年間 6 号発行
ISSN 印刷: 1543-1649
ISSN オンライン: 1940-4352
IF:
1.4
5-Year IF:
1.3
Immediacy Index:
2.2
Eigenfactor:
0.00034
JCI:
0.46
SJR:
0.333
SNIP:
0.606
CiteScore™::
3.1
H-Index:
31
Indexed in
巻 8, 2010 発行 2
DOI: 10.1615/IntJMultCompEng.v8.i2
SPECIAL ISSUE On Advances in Multiscale and Multiphysics Methods
vii pages
DOI: 10.1615/IntJMultCompEng.v8.i2.10
A Molecular Mechanics Study on the Effect of Surface Modification on the Interfacial Properties in Carbon Nanotube/Polystyrene Nanocomposites
pp. 151-165
DOI: 10.1615/IntJMultCompEng.v8.i2.20
A Nonclassical Reddy-Levinson Beam Model Based on a Modified Couple Stress Theory
pp. 167-180
DOI: 10.1615/IntJMultCompEng.v8.i2.30
Molecular Dynamics Study of the Specimen Size and Imperfection Effects on the Failure Responses of Multi-Nanobar Structures
pp. 181-194
DOI: 10.1615/IntJMultCompEng.v8.i2.40
Hybrid Model for Simulation of Magneto-Optical Response of Layers of Semiconductor Nano-Objects
pp. 195-205
DOI: 10.1615/IntJMultCompEng.v8.i2.50
Analysis of Multi-Transmitting Formula for Absorbing Boundary Conditions
pp. 207-219
DOI: 10.1615/IntJMultCompEng.v8.i2.60
Dynamic Crack Propagation Using a Combined Molecular Dynamics/Extended Finite Element Approach
pp. 221-235
DOI: 10.1615/IntJMultCompEng.v8.i2.70
Molecular Modeling of Normal and Sickle Hemoglobins
pp. 237-244
DOI: 10.1615/IntJMultCompEng.v8.i2.80
The Stability and Mechanical Properties of Boron Nanotubes Explored through Density Functional Calculations
pp. 245-250
DOI: 10.1615/IntJMultCompEng.v8.i2.90
最新号
FAST FOURIER TRANSFORM METHOD FOR PERIDYNAMIC BAR OF PERIODIC STRUCTURE
THERMODYNAMICS ANALYSIS OF CASSON HYBRID NANOFLUID FLOW OVER A POROUS RIGA PLATE WITH SLIP EFFECT
DIAGNOSIS OF KIDNEY CYST, TUMOR AND STONE FROM CT SCAN IMAGESUSING FEATURE FUSION HYPERGRAPH CONVOLUTIONAL NEURAL NETWORK (F2HCN2)
COMPUTATIONAL FRAMEWORK FOR PREDICTION OF CARDIAC DISORDERS BY ANALYZING ECG SIGNALS USING MACHINE LEARNING TECHNIQUE
EFFICIENT SEGMENTATION MODEL USING MRI IMAGES AND DEEP LEARNING TECHNIQUES FOR MULTIPLE SCLEROSIS CLASSIFICATION
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