polymer processing: modeling and simulation (Verlag GmbH)
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Polymer Processing: Modeling And Simulation, supplied by Verlag GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Polymer:Article Title: Monte Carlo Approach to the Simulation of Ethylene Oxide and Propylene Oxide Polymerization and Copolymerization Article Snippet: The simulation of block or random ethylene oxide (EO) and propylene oxide (PO) copolymerization with a deterministic model requires the solution of many thousands of differential and algebraic equations.. This approach, therefore, is not practicable, requiring too long computer calculation time.. The use of a stochastic model allows overcoming this drawback. Article Title: Mechanical Microstructure Characterization of Discontinuous‐Fiber Reinforced Composites by means of Experimental‐Numerical Micro Tensile Tests Article Snippet: .. 2019;19:e201900120. www.gamm-proceedings.com 1 of 2 https://doi.org/10.1002/pamm.201900120 c© 2019 The Authors Proceedings in Applied Mathematics & Mechanics published by Wiley-VCH Verlag GmbH & Co. KGaA Weinheim Two reasons for the discrepancy of the simulations are possible: (i) the accuracy of the model geometry and (ii) the quality of the Article Title: Flow Activation Energy Estimation by Thermo‐Rheological Method Article Snippet: .. Keywords annular flow, polymers, temperature, thermal dependence, viscosity Received: March 2, 2023 Revised: May 22, 2023 Published online: June 4, 2023 [1] J. F. Agassant, P. Avenas, P. J. Carreau, B. Vergnes, M. Vincent, Article Title: Modeling of Diffusive Transport of Polymers Moments Using Limiting Cases of the Maxwell–Stefan Model Article Snippet: .. [8] K.-D. Hungenberg, M. Wulkow, Modeling and Simulation in Article Title: Functional Macromolecular Systems: Kinetic Pathways to Obtain Tailored Structures Article Snippet: .. [212] J.-F. Agassant, P. Avenas, P. J. Carreau, B. Vergnes, M. Vincent, Article Title: In-line viscosity identification via thermal-rheological measurements in an annular duct for polymer processing Article Snippet: .. Carreau, B. Vergnes, M. Vincent, Article Title: Thermo-rheological reduced order models for non-Newtonian fluid flows with power-law viscosity via the modal identification method Article Snippet: In the framework of melted polymer flows characterization, this study deals with the formulation, construction and validation of thermo-rheological Reduced Order Models (ROMs) for incompressible flows of pseudoplastic fluids.. The dynamic viscosity is described by a shear rate power law defined by consistency index K and pseudoplastic index n . The flow dynamics are assumed to be quasi-static whereas the thermal state is unsteady.. Viscous dissipation acts as a heat source term in the energy equation. Article Title: Modeling Strategies for the Propagation of Terminal Double Bonds During the Polymerization of N‐Vinylpyrrolidone and Experimental Validation Article Snippet: .. [14] K.-D. Hungenberg, M. Wulkow, Modeling and Simulation in Molecular Weight:Article Title: Monte Carlo Approach to the Simulation of Ethylene Oxide and Propylene Oxide Polymerization and Copolymerization Article Snippet: The simulation of block or random ethylene oxide (EO) and propylene oxide (PO) copolymerization with a deterministic model requires the solution of many thousands of differential and algebraic equations.. This approach, therefore, is not practicable, requiring too long computer calculation time.. The use of a stochastic model allows overcoming this drawback. Viscosity:Article Title: Flow Activation Energy Estimation by Thermo‐Rheological Method Article Snippet: .. Keywords annular flow, polymers, temperature, thermal dependence, viscosity Received: March 2, 2023 Revised: May 22, 2023 Published online: June 4, 2023 [1] J. F. Agassant, P. Avenas, P. J. Carreau, B. Vergnes, M. Vincent, |
![Overview of Methodological Workflows for Multi-Omics and Spatial Transcriptomics Analysis. a <t>Nicheformer</t> Model for Gene Expression Integration: The Nicheformer model processes tokenized gene expression data and assay-specific markers using transformer embeddings, producing unified outputs for gene ranking and modality integration. This enables accurate predictions for gene regulatory networks (GRN) and drug response analysis . b LocalCLiP for Spatial Transcriptomics: LocalCLiP utilizes a local transformer model to integrate spatial transcriptomics data, using KNN for image patch analysis and gene expression prediction, providing insights into tissue-specific molecular patterns . c BioTask Executor for Task-Specific Analysis: The BioTask Executor handles various biological tasks, from zero-shot learning to GRN inference and drug response prediction, by preprocessing data, initializing pretrained models (e.g., SCGPT, Geneformer), and fine-tuning them for task-specific applications . d Human-8CATAC-CorpuS for Multi-Tissue Analysis: The Human-8CATAC-CorpuS dataset, with 5 million cells from 31 tissues, is used to train models for gene expression prediction and cCRE signal reconstruction, enabling comprehensive analysis of tissue-specific regulatory elements . The schematics were adapted from [ , , ] and](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_0279/pmc12560279/pmc12560279__12967_2025_7091_Fig3_HTML.jpg)