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Updated: Sep 29, 2025

Micro-scale Engineering for Cell Biology

Micro-scale Engineering for Cell Biology

Published on: October 1, 2007

A MULTISCALE VISION-ILLUSTRATIVE APPLICATIONS FROM BIOLOGY TO ENGINEERING.

Tamar Schlick^1,2,3, Stephanie Portillo-Ledesma¹, Mischa Blaszczyk⁴

¹Department of Chemistry, New York University, New York, New York 10003, USA.

International Journal for Multiscale Computational Engineering

|March 25, 2022

Summary

This summary is machine-generated.

Multiscale modeling and simulation are now essential research tools, enabling the study of complex phenomena across various scales. These advanced computational methods are driving innovation in science, technology, and medicine.

Keywords:

applications of modeling to life and physical sciences biology computer simulations engineering machine learning multiscale modeling structural mechanics

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Area of Science:

Computational Science and Engineering
Multiscale Modeling and Simulation

Background:

Modeling and simulation are now fundamental research pillars alongside theory and experimentation.
Complex phenomena often span multiple spatial and temporal scales, necessitating advanced computational approaches.

Purpose of the Study:

To illustrate current applications of multiscale modeling and simulation across diverse scientific and engineering fields.
To highlight the significance of these methods in addressing 21st-century scientific, technological, and medical challenges.

Main Methods:

Review and compilation of applications from associate editors and co-workers.
Focus on tailored computational approaches leveraging advanced hardware and software.

Main Results:

Demonstration of multiscale modeling and simulation applications in biomolecular dynamics, civil engineering, materials science, computational mechanics, and aerospace/mechanical engineering.
Highlighting the tailored nature of these applications and their reliance on evolving computational resources.

Conclusions:

Multiscale modeling and simulation are crucial for understanding complex systems.
These computational techniques significantly contribute to advancements in science, technology, and medicine.