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Related Concept Videos

Accelerating Fluids01:17

Accelerating Fluids

When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
Flame Photometry: Overview01:02

Flame Photometry: Overview

Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...
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Related Experiment Video

Updated: Jun 16, 2026

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
11:29

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

High performance cellular level agent-based simulation with FLAME for the GPU.

Paul Richmond1, Dawn Walker, Simon Coakley

  • 1Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello, Sheffield S1 4DP, UK. p.richmond@sheffield.ac.uk

Briefings in Bioinformatics
|February 4, 2010
PubMed
Summary
This summary is machine-generated.

The cellular scale is ideal for middle-out modelling, requiring significant computational power. The Flexible Large-scale Agent Modelling Environment (FLAME) framework enables efficient agent-based modelling on parallel architectures, speeding up simulations.

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Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies
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Published on: September 1, 2023

Area of Science:

  • Computational biology
  • Agent-based modeling
  • Systems biology

Background:

  • Cellular scale simulations are crucial for biological research but demand substantial computational resources.
  • Traditional simulation approaches often face limitations in scalability and performance.
  • Middle-out modeling is emerging as a powerful approach for simulating biological systems at the cellular level.

Purpose of the Study:

  • To introduce the Flexible Large-scale Agent Modelling Environment (FLAME) as a solution for efficient cellular-scale simulations.
  • To highlight FLAME's capability for agent-based modeling (ABM) on parallel computing architectures.
  • To demonstrate the performance improvements offered by FLAME, particularly FLAME GPU, over conventional ABM frameworks.

Main Methods:

  • Utilizing a template-driven framework for agent-based modeling (ABM).
  • Employing parallel computing architectures, including high-performance computing clusters and GPU hardware.
  • Implementing a formal specification technique as a universal modeling format for abstraction.

Main Results:

  • FLAME provides an abstraction from underlying hardware, simplifying the programming of complex simulations.
  • FLAME GPU demonstrates significant performance enhancements compared to traditional ABM frameworks.
  • Reduced development and testing times for cellular system modeling are achieved.

Conclusions:

  • FLAME is a highly effective framework for large-scale agent-based modeling of cellular systems on parallel architectures.
  • FLAME GPU offers substantial performance gains, enabling faster simulation development and real-time visualization.
  • The framework's formal specification technique simplifies complex modeling tasks and reduces the learning curve.