Multiscale modelling

Part 1 of ebook "Dynamic deformation, damage and fracture in composite materials and structures" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - Damage tolerance of composite structures under low-velocity impact; Chapter 3 - Damage in laminates from low-velocity impacts; Chapter 4 - Multiscale modeling of delamination damage in laminated structures; Chapter 5 - Low-velocity impact of composite laminates, damage evolution; Chapter 6 - Low-velocity impact on laminates; Chapter 7 - High-velocity impact damage in CFRP laminates; Chapter 8 - Dynamic damage in FRPs...

304p tuongmothua 11-07-2024 2 0   Download

Part 2 of ebook "IUTAM symposium on mesoscopic dynamics of fracture process and materials strength" provides readers with contents including: multiscale modeling of defect nucleation and reaction bulk to nanostructures; discrete-continuum modeling of metal matrix composites plasticity; computational evaluation of micro- to macroscopic deformation behavior of amorphous polymer with slightly heterogeneous distribution of initial shear strength; critical behavior near the crack/dislocation depinning threshold;...

221p mothoiphong 28-06-2024 1 1   Download

Ebook "Multiscale structural topology optimization" discusses the development of a multiscale design framework for topology optimization of multiscale nonlinear structures. With the intention to alleviate the heavy computational burden of the design framework, the authors present a POD-based adaptive surrogate model for the RVE solutions at the microscopic scale and make a step further towards the design of multiscale elastoviscoplastic structures.

174p khuynhlinhnguyet1009 05-04-2024 8 1   Download

Cerebral amyloidosis, neuroinflammation, and tauopathy are key features of Alzheimer’s disease (AD), but interactions among these features remain poorly understood. Our previous multiscale molecular network models of AD revealed TYROBP as a key driver of an immune- and microglia-specific network that was robustly associated with AD pathophysiology.

20p vibransone 28-03-2024 3 2   Download

Cancer is a somatic evolutionary disease and adenocarcinomas of the stomach and gastroesophageal junction (GC) may serve as a two-dimensional model of cancer expansion, in which tumor subclones are not evenly mixed during tumor progression but rather spatially separated and diversified.

19p vibransone 28-03-2024 2 1   Download

Ebook "Multiscale modelling of organic and hybrid photovoltaics" presents critical reviews of the present and future trends in modern chemical research. The scope of coverage is all areas of chemical science including the interfaces with related disciplines such as biology, medicine and materials science. The goal of each thematic volume is to give the non-specialist reader, whether in academia or industry, a comprehensive insight into an area where new research is emerging which is of interest to a larger scientific audience.

407p tudohanhtau1006 29-03-2024 3 1   Download

Ebook "Multiscale and multiphysics computational frameworks for nano- and bio-systems" develops multiscale and multiphysics simulation methods to understand nano- and bio-systems by overcoming the limitations of time- and length-scales. Here the key issue is to extend current computational simulation methods to be useful for providing microscopic understanding of complex experimental systems.

191p manmanthanhla0201 26-02-2024 5 1   Download

Ebook "Control and optimization of multiscale process systems" presents general methods for feedback controller synthesis and optimization of multiscale systems, illustrating their application to thin-film growth, sputtering processes, and catalytic systems of industrial interest. Beginning with an introduction to general issues on control and optimization of multiscale systems and a review of previous work in this area, the book discusses detailed modeling approaches for multiscale processes with emphasis on the theory and implementation of kinetic Monte Carlo simulation.

247p manmanthanhla0201 27-02-2024 4 1   Download

Multiscale model reduction approach for a nonlinear equation arising from elasticity - We present a multiscale model reduction framework utilizing generalized multiscale finite element method, for a twodimensional nonlinear equation emerging from strain-limiting elasticity.

5p nhanchienthien 25-07-2023 6 4   Download

Continued part 1, part 2 of ebook "Coupled multiscale simulation and optimization in nanoelectronics" provides readers with content including: model order reduction; model order reduction - methods, concepts and properties; parameterized model order reduction; advanced topics in model order reduction; optimization methods and applications to microelectronics CAD; comson methodology; comson demonstrator platform;...

402p dieptieuung 19-07-2023 7 3   Download

Part 1 of ebook "Coupled multiscale simulation and optimization in nanoelectronics" provides readers with content including: introduction; the comson project; partial differential algebraic equations; PDAE modeling and discretization; simulation of coupled PDAEs - dynamic iteration and multirate simulation;...

172p dieptieuung 19-07-2023 3 2   Download

Bài viết Đánh giá các tác động sức khỏe cộng đồng do phơi nhiễm ngắn hạn ô nhiễm PM2.5: Nghiên cứu điển hình tại tỉnh Bình Dương đánh giá những tác động sức khỏe cấp tính do ô nhiễm PM2.5 trong tháng 1/2019 và 7/2019. Để ước tính sự phân bố PM2.5, nghiên cứu đã áp dụng các mô hình khí tượng WRF (Weather Research and Forecast) kết hợp với chất lượng không khí CMAQ (Community Multiscale Air Quality Modeling System) và mô hình thiệt hại sức khỏe để phân tích, định lượng.

17p viironman 02-06-2023 9 3   Download

Genome graphs allow very general representations of genetic variation; depending on the model and implementation, variation at different length-scales (single nucleotide polymorphisms (SNPs), structural variants) and on different sequence backgrounds can be incorporated with different levels of transparency.

27p viarchimedes 26-01-2022 11 0   Download

Using a molecular dynamics (MD) model, we subject a nanocrystalline carbon steel work piece to grinding by hard alumina abrasives and study material removal and surface topography. A second, much larger MD model allows us to additionally study the microstructural and stress response of a polycrystalline ferritic work piece with a grain size that qualitatively reproduces macroscopic material behavior.

14p guernsey 28-12-2021 8 0   Download

The present paper develops a polynomial chaos expansion (PCE)-based surrogate model for characterizing the microstructure-properties relationships of acoustic monodisperse foams. First, the acoustic properties of the considered structures are estimated numerically by homogenization techniques using an idealized periodic unit cell and the Johnson-Champoux-Allard-Pride-Lafarge (JCAPL) model.

14p inception36 30-11-2021 18 1   Download

Biological processes such as metabolism, signaling, and macromolecular synthesis can be modeled as large networks of biochemical reactions. Large and comprehensive networks, like integrated networks that represent metabolism and macromolecular synthesis, are inherently multiscale because reaction rates can vary over many orders of magnitude.

6p viwyoming2711 16-12-2020 17 0   Download

Genome-scale models of metabolism and macromolecular expression (ME) significantly expand the scope and predictive capabilities of constraint-based modeling. ME models present considerable computational challenges: they are much (> 30 times) larger than corresponding metabolic reconstructions (M models), are multiscale, and growth maximization is a nonlinear programming (NLP) problem, mainly due to macromolecule dilution constraints.

10p vioklahoma2711 19-11-2020 18 0   Download

Macrophages cover a major role in the immune system, being the most plastic cell yielding several key immune functions. Methods: Here we derived a minimalistic gene regulatory network model for the differentiation of macrophages into the two phenotypes M1 (pro-) and M2 (anti-inflammatory).

10p vioklahoma2711 19-11-2020 16 0   Download

Inference of gene regulatory networks from gene expression data has been a long-standing and notoriously difficult task in systems biology. Recently, single-cell transcriptomic data have been massively used for gene regulatory network inference, with both successes and limitations.

19p vijisoo2711 27-10-2020 13 1   Download

Due to the recent advances in deep learning, this model attracted researchers who have applied it to medical image analysis. However, pathological image analysis based on deep learning networks faces a number of challenges, such as the high resolution (gigapixel) of pathological images and the lack of annotation capabilities.

15p vijisoo2711 27-10-2020 12 1   Download