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

PD Controller: Design01:26

PD Controller: Design

655
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
655
PI Controller: Design01:24

PI Controller: Design

1.2K
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
1.2K
The Fluid Mosaic Model01:34

The Fluid Mosaic Model

178.1K
The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
178.1K
Design Example: Deciding Thickness of Lubricating Fluid in a Shaft01:23

Design Example: Deciding Thickness of Lubricating Fluid in a Shaft

340
Effective lubrication between a rotating shaft and its bearing housing is essential in rotating machinery to minimize friction, wear, and energy loss. With carefully controlled thickness and viscosity, the lubricant layer prevents metal-to-metal contact, ensuring smooth operation.
To calculate the required thickness of the lubricant layer, the tangential velocity at the shaft's surface must first be determined. This velocity is calculated by converting the rotational speed to angular velocity...
340
Fluid Mosaic Model01:19

Fluid Mosaic Model

16.5K
Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich...
16.5K
pH Scale02:41

pH Scale

79.8K
Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
79.8K

You might also read

Related Articles

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

Sort by
Same author

Microelectrode array technology for organoids and microphysiological systems.

Trends in biotechnology·2026
Same author

High-throughput contractility analysis platform for drug-response evaluation of hiPSC-derived cardiac models based on dynamic frequency conditioning.

Biosensors & bioelectronics·2026
Same author

Publisher Correction: Editors' Choice 2025.

Communications engineering·2026
Same author

Editors' Choice 2025.

Communications engineering·2026
Same author

Tapered Pillar Design for High-Precision Force Readout in Miniaturized Engineered Heart Tissues From Human Pluripotent Stem Cells.

Advanced healthcare materials·2025
Same author

High-Speed Raman Readout of Single Polypeptides via Plasmonic Nanopores.

Advanced materials (Deerfield Beach, Fla.)·2025

Related Experiment Video

Updated: Feb 2, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

442

Fluid-Mediated Stochastic Self-Assembly at Centimetric and Sub-Millimetric Scales: Design, Modeling, and Control.

Bahar Haghighat1, Massimo Mastrangeli2, Grégory Mermoud3

  • 1Distributed Intelligent Systems and Algorithms Laboratory (DISAL), School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne (EPFL), EPFL ENAC IIE DISAL, Building GR, Station 2, 1015 Lausanne, Switzerland. bahar.haghighat@epfl.ch.

Micromachines
|November 9, 2018
PubMed
Summary

Researchers explored stochastic self-assembly, developing frameworks for controlling micro- and nano-structure formation. This work advances methods for designing and modeling distributed self-assembling systems across various scales.

Keywords:
controlmodelingself-assemblystochastic systems

More Related Videos

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.7K
Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
08:02

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

Published on: February 25, 2015

13.1K

Related Experiment Videos

Last Updated: Feb 2, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

442
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.7K
Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
08:02

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

Published on: February 25, 2015

13.1K

Area of Science:

  • Robotics and Automation
  • Materials Science
  • Complex Systems

Background:

  • Stochastic self-assembly offers a promising route for creating micro-/nano-structures with diverse properties.
  • Existing research utilizes varied approaches for controlling self-assembly based on module capabilities, from passive particles to intelligent robots.

Purpose of the Study:

  • To develop a unifying control and modeling framework for stochastic self-assembly.
  • To adapt stochastic control strategies across different length scales (centimeter to sub-millimeter) and technologies (mechatronic to MEMS).

Main Methods:

  • Experimental platform for centimeter-scale self-assembly of passive modules with real-time tracking, modeling, and control.
  • Microfluidic system for controlled microparticle self-assembly with fast-dynamics real-time tracking.
  • Novel fluid-mediated programmable stochastic self-assembly system using centimeter-sized active robots (Lily robots) for distributed control.

Main Results:

  • Demonstrated controlled self-assembly of passive modules at the centimeter scale.
  • Achieved controlled self-assembly of microparticles into predefined clusters within a microfluidic chamber.
  • Introduced a novel system for programmable self-assembly of active modules, enabling exploration of centralized to distributed control strategies.

Conclusions:

  • The research extends state-of-the-art methodologies for designing, modeling, and controlling massively-distributed stochastic self-assembling systems.
  • Provides a significant advancement in structure formation through controlled self-assembly across multiple length scales and module complexities.