International Journal for Multiscale Computational Engineering
Выходит 6 номеров в год
ISSN Печать: 1543-1649
ISSN Онлайн: 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
Том 17, 2019 Выпуск 3
SPECIAL ISSUE: COMPUTATIONAL MULTI-SCALE MODELING AND DESIGN OF NEW ENGINEERING MATERIALS
GUEST EDITORS: ALFREDO HUESPE, XAVIER OLIVER, MACIEJ PIETRZYK, & TADEUSZ BURCZYŃSKI
DOI: 10.1615/IntJMultCompEng.v17.i3
PREFACE: COMPUTATIONAL MULTISCALE MODELLING AND DESIGN OF NEW ENGINEERING MATERIALS
pp. v-vi
DOI: 10.1615/IntJMultCompEng.v17.i3.10
HIGHER ORDER MULTIPOINT MESHLESS FINITE DIFFERENCE METHOD FOR TWO-SCALE ANALYSIS OF HETEROGENEOUS MATERIALS
pp. 239-260
DOI: 10.1615/IntJMultCompEng.2019028866
MAKING USE OF SYMMETRIES IN THE THREE-DIMENSIONAL ELASTIC INVERSE HOMOGENIZATION PROBLEM
pp. 261-280
DOI: 10.1615/IntJMultCompEng.2019029111
HYBRID MORI-TANAKA/FINITE ELEMENT METHOD IN HOMOGENIZATION OF COMPOSITE MATERIALS WITH VARIOUS REINFORCEMENT SHAPE AND ORIENTATION
pp. 281-295
DOI: 10.1615/IntJMultCompEng.2019028827
METHODOLOGY FOR EFFICIENT PERFORMANCE OF MULTISCALE MODELING METHODS IN HETEROGENEOUS HARDWARE INFRASTRUCTURES
pp. 297-315
DOI: 10.1615/IntJMultCompEng.2019028552
COMPUTATIONAL MODELING OF THERMOPLASTIC BEHAVIOR OF INCONEL 718 IN APPLICATION TO LASER-ASSISTED BENDING OF THIN-WALLED TUBES
pp. 317-338
DOI: 10.1615/IntJMultCompEng.2019029858
BASIC MECHANICAL PROPERTIES OF 2H AND 1T SINGLE-LAYER MOLYBDENUM DISULFIDE POLYMORPHS. A SHORT COMPARISON OF VARIOUS ATOMIC POTENTIALS
pp. 339-359
DOI: 10.1615/IntJMultCompEng.2019029100
PREDICTION OF DISTRIBUTION OF MICROSTRUCTURAL PARAMETERS INMETALLIC MATERIALS DESCRIBED BY DIFFERENTIAL EQUATIONS WITH RECRYSTALLIZATION TERM
pp. 361-371
DOI: 10.1615/IntJMultCompEng.2019030591
Последний выпуск
MULTISCALE MECHANOBIOLOGICAL MODELING OF THE CORTICAL/SPONGY INTERFACE USING FINITE ELEMENTS
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
Статьи, принятые к публикации
Multiscale 3D TransUNet-aided Tumor Segmentation and Multi-Cascaded Model for Lung Cancer Diagnosis System from 3D CT Images with Fused Feature Pool Formation
Fine-tuning MobileNetV3 with different weight optimization algorithms for classification of denoised blood cell images using convolutional neural network
A Comparative Biomechanical Analysis of Posterior Lumbar Interbody Fusion Constructs with Four Established Scenarios
Computational Biomedical Framework Using IoT and MR for Detecting, Tracking and Preventing Asymptomatic COVID-19 Patients
COMPUTATIONAL FRAMEWORK FOR PREDICTION OF CARDIAC DISORDERS BY ANALYZING ECG SIGNALS USING MACHINE LEARNING TECHNIQUE
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 images using feature fusion hypergraph convolutional neural network (F2HCN2)