Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Multicompartment Models: Overview

Multicompartment Models: Overview

Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...

The Carbon Cycle

The Carbon Cycle

Carbon is the basis of all organic matter on Earth, and is recycled through the ecosystem in two primary processes: one in which carbon is exchanged among living organisms, and one in which carbon is cycled over long periods of time through fossilized organic remains, weathering of rocks, and volcanic activity. Human activities, including increased agricultural practices and the burning of fossil fuels, has greatly affected the balance of the natural carbon cycle.

Laminar Flow: Problem Solving

Laminar Flow: Problem Solving

Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Automation and digitalization in drug product process development.

Journal of pharmaceutical sciences·2026

Same author

Current Landscape of Mental Health Conversational Agents From a Trauma-Informed Care Lens: Scoping Review.

JMIR mental health·2026

Same author

HIV Pre-exposure Prophylaxis at a Local Public Health Department in the Southern United States: Reducing Barriers, Increasing Access, and Lessons Learned.

AIDS and behavior·2026

Same author

Life cycle assessment of the complete denture fabrication process using traditional impressions versus intra-oral scanning.

British dental journal·2026

Same author

Sustainable H<sub>2</sub>‑Rich Syngas Production via Microwave-Assisted vs Conventional Catalysis of Pinewood.

Industrial & engineering chemistry research·2026

Same author

A Framework for Implementation of Dynamic Discrepancy Reduced-Order Modeling in Advanced Process Control.

Industrial & engineering chemistry research·2026

Same journal

Sustainable Refrigerants, Policy Drivers, and Emerging Technologies.

Annual review of chemical and biomolecular engineering·2026

Same journal

Introduction.

Annual review of chemical and biomolecular engineering·2026

Same journal

A Resonant Life.

Annual review of chemical and biomolecular engineering·2026

Same journal

Jamming and Yielding in Dense Suspensions.

Annual review of chemical and biomolecular engineering·2026

Same journal

Beyond Clean: Unraveling Phase Behavior and Rheology of Soaps.

Annual review of chemical and biomolecular engineering·2026

Same journal

The Nonequilibrium Self-Consistent Generalized Langevin Equation Theory of Glasses and Gels.

Annual review of chemical and biomolecular engineering·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 30, 2026

Author Spotlight: Standardizing the Development of Amine-Based Silica Composites as CO2 Adsorbents for Direct Air Capture

Author Spotlight: Standardizing the Development of Amine-Based Silica Composites as CO2 Adsorbents for Direct Air Capture

Published on: September 29, 2023

Carbon Capture Simulation Initiative: a case study in multiscale modeling and new challenges.

David C Miller¹, Madhava Syamlal, David S Mebane

¹US Department of Energy, National Energy Technology Laboratory, Pittsburgh, Pennsylvania 15236;

Annual Review of Chemical and Biomolecular Engineering

|May 7, 2014

Summary

This summary is machine-generated.

Advanced multiscale modeling and simulation accelerate carbon capture technology development. The Carbon Capture Simulation Initiative provides integrated tools for process design, optimization, and risk analysis, reducing development time and cost.

Keywords:

computational fluid dynamics optimization process control process synthesis risk analysis uncertainty quantification

More Related Videos

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

Related Experiment Videos

Last Updated: Apr 30, 2026

Author Spotlight: Standardizing the Development of Amine-Based Silica Composites as CO2 Adsorbents for Direct Air Capture

Author Spotlight: Standardizing the Development of Amine-Based Silica Composites as CO2 Adsorbents for Direct Air Capture

Published on: September 29, 2023

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

Area of Science:

Chemical Engineering
Computational Science

Background:

Developing new carbon capture technologies is time-consuming and expensive.
Advanced modeling and simulation tools can significantly improve efficiency.

Purpose of the Study:

To introduce the Carbon Capture Simulation Initiative (CCSI) and its multiscale modeling tools.
To demonstrate how these tools reduce development time and cost for carbon capture technologies.

Main Methods:

Developing and deploying a suite of integrated tools: data submodels, process models (steady-state and dynamic), optimization, uncertainty quantification, control frameworks, and CFD models.
Integrating thermodynamics and kinetics data into detailed process models.
Utilizing validated high-fidelity CFD models with quantified uncertainty.

Main Results:

The CCSI tools enable the synthesis and optimization of carbon capture processes.
Improved process control system development and equipment design through detailed simulations.
Reduced scale-up risk and enhanced design through uncertainty quantification across scales.

Conclusions:

Multiscale modeling and simulation are crucial for efficient development of carbon capture technologies.
The CCSI provides a comprehensive framework for accelerating the deployment of these technologies.