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

Modeling and Similitude

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...

You might also read

Related Articles

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

Sort by

Same author

Complete genomes reveal a refined map of Mycobacterium tuberculosis genetic diversity across evolutionary scales.

Nature communications·2026

Same author

Characteristics of NAME-Accredited Medicolegal Offices in the United States in 2025.

The American journal of forensic medicine and pathology·2026

Same author

Learning Latent Representations to Bridge Coarse-Grained and Atomistic Resolutions in Polymer Simulations.

Journal of chemical theory and computation·2026

Same author

Rate variation and recurrent sequence errors in pandemic-scale phylogenetics.

Nature methods·2026

Same author

Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny.

Nature methods·2026

Same author

Accreditation Standards for Medicolegal Death Investigator Staffing: Pilot Study of Caseload and Workload Complexity.

The American journal of forensic medicine and pathology·2025

Same journal

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026

Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026

Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026

Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026

Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026

Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 30, 2025

Surrogate Model Development for Digital Experiments in Welding

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

Sim2Ls: FAIR simulation workflows and data.

Martin Hunt¹, Steven Clark², Daniel Mejia³

¹Halıcıoğlu Data Science Institute, University of California at San Diego, La Jolla, California, United States of America.

|March 10, 2022

Summary

This summary is machine-generated.

Researchers can now create and share reproducible scientific workflows using Sim2Ls (simulation tools) and the Sim2L Python library. This promotes FAIR data principles, enhancing scientific discovery and collaboration.

More Related Videos

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Published on: April 18, 2018

Related Experiment Videos

Last Updated: Sep 30, 2025

Surrogate Model Development for Digital Experiments in Welding

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

Published on: April 18, 2018

Area of Science:

Computational Science
Scientific Computing
Research Reproducibility

Background:

Scientific data management increasingly adheres to FAIR principles (Findable, Accessible, Interoperable, Reusable).
However, computational simulation workflows often lack documentation and accessibility, hindering reproducibility.
Ad hoc scripts and manual processes are common, limiting scientific progress.

Purpose of the Study:

Introduce Sim2Ls (simulation tools) and the Sim2L Python library.
Enable the creation and sharing of end-to-end computational workflows.
Promote FAIR principles for scientific simulation workflows and associated data.

Main Methods:

Developed the Sim2L Python library for creating and managing simulation workflows.
Implemented features for discoverability of Sim2Ls, their requirements, and services.
Integrated automatic verification of inputs/outputs and storage in a global simulation cache and results database.
Leveraged the nanoHUB platform for workflow publication, computational environment, and execution hardware.

Main Results:

Sim2Ls and the Sim2L library facilitate the development of FAIR simulation workflows.
The system ensures well-defined and verified inputs and outputs for simulations.
Results are automatically stored in a globally accessible cache and database.
The nanoHUB platform provides a cost-free ecosystem for simulation workflow management and execution.

Conclusions:

Sim2Ls and the Sim2L library offer a solution for achieving FAIR simulation workflows.
This approach significantly enhances the reproducibility and reusability of scientific research.
The integrated nanoHUB ecosystem supports the entire lifecycle of simulation workflows, from development to publication.