Chemical Dynamics Simulation
Chemical Dynamics Simulation - Related Videos
12:55
Chemical Gardens as Flow-through Reactors Simulating Natural Hydrothermal Systems
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Cited by 31 •
2015
We describe chemical garden formation via injection experiments that allow for laboratory simulations of natural chemical garden systems that form at submarine hydrothermal vents.
12:39
Computational Fluid Dynamics Simulations of Blood Flow in a Cerebral Aneurysm
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2023
Source: Joseph C. Muskat, Vitaliy L. Rayz, and Craig J. Goergen, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana The objective of this video is to describe recent advancements of computational fluid dynamic (CFD) simulations based on patient- or animal-specific vasculature. Here, subject-based vessel segmentations were created, and, using a combination of open-source and commercial tools, a high-resolution numerical solution was determined within a flow model.
06:37
Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
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Cited by 2 •
2021
Melts and fluids are ubiquitous vectors of mass transport in natural systems. We have developed an open-source package to analyze ab initio molecular-dynamics simulations of such systems. We compute structural (bonding, clusterization, chemical speciation), transport (diffusion, viscosity) and thermodynamic properties (vibrational spectrum).
07:31
Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies
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Cited by 1 •
2023
Membrane lipid diversity in structure and composition is an important contributor to cellular processes and can be a marker of disease. Molecular dynamics simulations allow us to study membranes and their interactions with biomolecules at atomistic resolution. Here, we provide a protocol to build, run, and analyze complex membrane systems.
05:57
Synthesizing Amino Acids Modified with Reactive Carbonyls in Silico to Assess Structural Effects Using Molecular Dynamics Simulations
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2024
Here, we describe a protocol for the optimization and parameterization of amino acid residues modified with reactive carbonyl species, adaptable to protein systems. The protocol steps include structure design and optimization, charge assignments, parameter construction, and preparation of protein systems.
FAQs
They provide the interaction model that determines how atoms and molecules respond to one another during a simulated process. A potential-energy surface can represent changes associated with electronic rearrangement, while a force field describes interactions for the modeled system. The selected representation therefore affects predictions of motion, reaction behavior, energy transfer, and material response.
Bond breaking and formation can involve electronic changes that fixed interaction descriptions may not capture adequately. Quantum methods model these changes directly, allowing simulations to examine reaction pathways rather than only the motion of atoms within an unchanged bonding arrangement. This capability is especially relevant when engineers study chemical transformations, catalysis, or combustion mechanisms.
Trajectory analysis can reveal how energy moves through a system, how molecular transport occurs, and which reaction pathways are available. It can also connect microscopic behavior with broader outcomes in combustion, catalysis, and materials. This mechanistic view helps separate possible causes of a measured performance change when direct experimental observation is difficult.
An engineer first identifies the molecular process or performance question, then selects an appropriate potential-energy surface, force field, or quantum description. The equations of motion are advanced numerically over time, and the resulting molecular behavior is examined for reactions, energy transfer, transport, or material changes. The findings can then inform process or model development.
The approach is useful when the important mechanism occurs at a molecular scale that is difficult to measure directly or when trial-and-error testing would be costly. Simulations can examine reaction pathways, energy transfer, transport, combustion, catalysis, and materials behavior before design decisions are finalized, helping engineers develop predictive models and evaluate alternatives.
By linking molecular behavior with measurable system performance, the method provides mechanistic information that can guide process design. Results may indicate how reactions proceed, how energy or matter moves, or how a material responds under the modeled conditions. Engineers can use that information to improve predictive models and reduce dependence on costly experimental iteration.