Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Second Order systems II01:18

Second Order systems II

406
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
406
First Order Systems01:21

First Order Systems

426
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
426
Second Order systems I01:20

Second Order systems I

591
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
591
Thermodynamic Systems01:06

Thermodynamic Systems

7.9K
A thermodynamic system is a set of objects whose thermodynamic properties are of interest. The system is considered to be embedded in its surroundings or the environment. The system and its environment can exchange heat and do work on each other through a boundary that separates them. However, the immediate surroundings of the system interact with it directly and therefore have a much stronger influence on its behavior and properties.
Consider an example of  tea boiling in a kettle. The...
7.9K
Classification of Systems-I01:26

Classification of Systems-I

592
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
592
Classification of Systems-II01:31

Classification of Systems-II

498
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
498

You might also read

Related Articles

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

Sort by
Same author

Protein-Solvent Interface Controls Proton-Coupled Reactivity in Cryptochrome 4a.

Journal of the American Chemical Society·2026
Same author

Atomistic Simulations of Fe(CO)<sub>5</sub> Fragmentation Dynamics on a Substrate.

The journal of physical chemistry. C, Nanomaterials and interfaces·2026
Same author

Excited-state dissociation of (η<sup>4</sup>-diene)Ru(CO)<sub>3</sub> precursors for photo-assisted chemical vapour deposition.

Physical chemistry chemical physics : PCCP·2026
Same author

Detection of the Carcinogen Benzo[<i>a</i>]pyrene through Photochemically Induced Dynamic Nuclear Polarization: Linking Liquid-State <sup>1</sup>H NMR with Spatially Resolved Imaging.

Analytical chemistry·2026
Same author

Reaction-yield detected magnetic resonance spectroscopy of radical pairs in cryptochrome-4a: a computational study.

Free radical biology & medicine·2026
Same author

Conformational Switching Controls Biradical Spin Dynamics in Flavin-Tryptophan Dyads.

Journal of the American Chemical Society·2026

Related Experiment Video

Updated: Jan 29, 2026

Determining the Contribution of the Energy Systems During Exercise
11:15

Determining the Contribution of the Energy Systems During Exercise

Published on: March 20, 2012

42.4K

Modeling MesoBioNano systems with MBN Studio made easy.

Gennady B Sushko1, Ilia A Solov'yov2, Andrey V Solov'yov1

  • 1MBN Research Center, Altenhöferallee 3, 60438, Frankfurt am Main, Germany.

Journal of Molecular Graphics & Modelling
|February 19, 2019
PubMed
Summary

MesoBioNano (MBN) Studio is a new graphical interface for MBN Explorer simulations. This tool simplifies setting up, running, and analyzing multiscale simulations for various scientific applications.

Keywords:
MesoBioNano scienceMolecular graphicsMolecular systems constructorMultiscale simulationsSimulation analysis

More Related Videos

A Mouse Model for Pathogen-induced Chronic Inflammation at Local and Systemic Sites
09:52

A Mouse Model for Pathogen-induced Chronic Inflammation at Local and Systemic Sites

Published on: August 8, 2014

18.1K
The Use of Chemostats in Microbial Systems Biology
13:19

The Use of Chemostats in Microbial Systems Biology

Published on: October 14, 2013

31.7K

Related Experiment Videos

Last Updated: Jan 29, 2026

Determining the Contribution of the Energy Systems During Exercise
11:15

Determining the Contribution of the Energy Systems During Exercise

Published on: March 20, 2012

42.4K
A Mouse Model for Pathogen-induced Chronic Inflammation at Local and Systemic Sites
09:52

A Mouse Model for Pathogen-induced Chronic Inflammation at Local and Systemic Sites

Published on: August 8, 2014

18.1K
The Use of Chemostats in Microbial Systems Biology
13:19

The Use of Chemostats in Microbial Systems Biology

Published on: October 14, 2013

31.7K

Area of Science:

  • Computational chemistry and materials science
  • Multiscale modeling and simulation

Background:

  • MBN Explorer is a widely used package for multiscale simulations.
  • A user-friendly interface is needed to streamline MBN Explorer's complex functionalities.

Purpose of the Study:

  • Introduce MesoBioNano (MBN) Studio, a graphical user interface for MBN Explorer.
  • Facilitate the setup, execution, monitoring, and analysis of MBN Explorer simulations.
  • Provide tools for constructing molecular systems and analyzing simulation outputs.

Main Methods:

  • Development of a graphical user interface (GUI) for MBN Explorer.
  • Integration of tools for various simulation types: single-point energy, structure optimization, molecular dynamics, and kinetic Monte Carlo.
  • Inclusion of built-in analysis tools for diffusion coefficients, melting temperatures, heat capacities, and radial distribution functions.
  • Implementation of a molecular system construction plug-in for diverse geometries and compositions.

Main Results:

  • MBN Studio provides a streamlined workflow for MBN Explorer users.
  • The interface supports a wide range of multiscale simulation types.
  • Built-in analysis tools and a molecular modeling plug-in enhance usability and efficiency.
  • The first public release offers a comprehensive overview of MBN Studio's capabilities.

Conclusions:

  • MBN Studio significantly enhances the accessibility and usability of MBN Explorer.
  • The software facilitates complex multiscale simulations and data analysis.
  • MBN Studio serves as a foundation for future development and extensions in computational science.