Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
The solubility of n-alkanes, perfluoroalkanes, noble gases and light gases in four elastomer polymers containing silicon is examined based on molecular simulation and macroscopic equation of state modelling. Polymer melt samples generated from Molecular Dynamics (MD) are used for the calculation of gas and solvent solubilities using the test particle insertion method of Widom. Polymer chains are modelled using recently developed realistic atomistic force fields. Calculations are performed at various temperatures and ambient pressure. A crossover in the temperature dependence of solubility as a function of the gas / solvent critical temperature is observed for all polymers. A recently developed macroscopic model based on the Perturbed Chain-Statistical Associating Fluid Theory (PC-SAFT) is used for the prediction and correlation of solubilities in poly(dimethylsilamethylene) and poly(dimethylsiloxane) and also the phase equilibria of these mixtures over a wide composition range. In all cases, the agreement between model predictions / correlations and literature experimental data, when available, is excellent.
The solubility of n-alkanes, perfluoroalkanes, noble gases and light gases in four elastomer polymers containing silicon is examined based on molecular simulation and macroscopic equation of state modelling. Polymer melt samples generated from Molecular Dynamics (MD) are used for the calculation of gas and solvent solubilities using the test particle insertion method of Widom. Polymer chains are modelled using recently developed realistic atomistic force fields. Calculations are performed at various temperatures and ambient pressure. A crossover in the temperature dependence of solubility as a function of the gas / solvent critical temperature is observed for all polymers. A recently developed macroscopic model based on the Perturbed Chain-Statistical Associating Fluid Theory (PC-SAFT) is used for the prediction and correlation of solubilities in poly(dimethylsilamethylene) and poly(dimethylsiloxane) and also the phase equilibria of these mixtures over a wide composition range. In all cases, the agreement between model predictions / correlations and literature experimental data, when available, is excellent.
Within this work GROMACS computational molecular dynamics simulations were performed to determine the free energy of solvation of an n-decane molecule. The pull-code was utilized to draw the molecule across z-space to span from an initial gas state to a final solubilized state. The free energy was computed at each location of the molecule and this quantity is presented as a function of space for multiple alcohol contents. A single simulation of n-dodecane is considered for comparison in 100% water.
The article contains sections titled: 1. Molecular Modeling and Simulation for Chemical Product and Process Design 1.1. Introduction 1.2. Elementary Statistical Mechanics 1.3. Major Molecular Simulation Methods 1.3.1. Molecular Dynamics (MD) 1.3.2. Metropolis Monte Carlo Simulation 1.4. Applications 1.4.1. Pharmaceuticals 1.4.2. Polymer Membranes for Gas Separation 1.4.3. Ionic Liquids for Sustainable Chemical Processes 1.5. Conclusions 2. Energy Systems Engineering 2.1. Introduction 2.2. Methods/Tools/Algorithm 2.2.1. Superstructure‐Based Modeling 2.2.2. Mixed‐Integer Programming (MIP) 2.2.3. Multiobjective Optimization 2.2.4. Optimization under Uncertainty 2.2.5. Life‐Cycle Assessment 2.3. Energy Systems Examples 2.3.1. Example 1–Polygeneration Energy Systems 2.3.2. Example 2–Hydrogen Infrastructure Planning 2.3.3. Example 3–Energy Systems in Commercial Buildings 2.4. Conclusions and Future Directions 3. Pharmaceutical Processes 3.1. Introduction 3.2. Pharmaceutical Process Development and Operation 3.2.1. Crystallization 3.2.2. Chromatography 3.3. Conclusion 4. Biochemical Engineering 4.1. Introduction 4.2. Industrial Biotechnology Processes 4.2.1. Fermentation Processes 4.2.2. Microbial Catalysis 4.2.3. Enzyme Processes 4.3. Modeling of Bioprocesses 4.3.1. Modeling of Bioprocesses–Mechanistic Models 4.3.2. Modeling of Bioprocesses–Data‐Driven Models 4.4. The Role of Process Systems Engineering 4.4.1. Evaluation of Process Options 4.4.2. Evaluation of Platform Chemicals 4.4.3. Process Integration 4.4.4. Biorefinery Design 4.4.5. Biocatalyst Design 4.5. Assessing the Sustainability of Bioprocesses 4.5.1. Life‐Cycle Inventory and Assessment 4.6. Future Outlook and Perspectives 5. Policies and Policy Making 5.1. Introduction 5.2. Policies and Policy Measures 5.3. Policy Making and the Systems Approach 5.4. Similarities between Policy Formulation and Conceptual Process Design 5.5. The Nature of Policy Formulation 5.6. The Nature of Sociotechnical Systems 5.7. Challenges for Modelers of Sociotechnical Systems 5.7.1. Multiple Stakeholders 5.7.2. Incommensurable Values 5.7.3. Externalities 5.7.4. Uncertainty 5.7.5. Emergent Behavior 5.7.6. Complexity of Causation 5.7.7. Objectivity in Policy Analysis 5.8. Types of Models used in the Analysis of Policies 5.8.1. Macroeconomic Models (Mainstream, Descriptive, Aggregated, Mechanistic) 5.8.2. Optimization Models (Mainstream, Normative, Aggregated, Mechanistic) 5.8.3. Control Models (Mainstream, Normative, Aggregated, Mechanistic) 5.8.4. Data‐Based Models 5.8.5. Game Theory (Descriptive) 5.8.6. System Dynamics (Aggregated, Mechanistic) 5.8.7. Network Theory (Descriptive) 5.8.8. Agent‐Based Approaches 5.8.9. Some Conclusions on Models for the Analysis of Policies 5.9. Synthesis of Policies 5.10. Future Directions 6. Acknowledgments
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.