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Related Experiment Video

Updated: Jul 9, 2026

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

A Jacobian-corrected minimum-mode following bias potential for hyperdynamics.

Lixiang Qian^1,2,3, Liang Zhang^1,2,3

¹Center for Combustion Energy, Tsinghua University, Beijing 100084, China.

The Journal of Chemical Physics

|July 8, 2026

Summary

This study introduces Jacobian-corrected minimum-mode following (J-MMF) to accelerate rare-event molecular dynamics simulations. J-MMF enhances accuracy and consistency in complex atomistic systems.

Related Experiment Videos

Last Updated: Jul 9, 2026

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

Area of Science:

Computational Physics
Materials Science
Chemical Physics

Background:

Rare-event molecular dynamics simulations face limitations due to timescale separation.
Hyperdynamics accelerates these processes using bias potentials but can face inconsistencies.

Purpose of the Study:

To develop an improved method for rare-event molecular dynamics simulations.
To enhance the accuracy and consistency of the minimum-mode following (MMF) formulation.

Main Methods:

Developed a Jacobian-corrected MMF (J-MMF) method.
Introduced a path-informed semi-analytical Jacobian and orthogonal projection.
Avoided additional force evaluations by utilizing sequential minimum-mode vector evolution.

Main Results:

J-MMF demonstrated improved accuracy and consistency in simulations.
Benchmark simulations of adatom diffusion on Cu(100) showed robust acceleration.
The acceleration was largely independent of system size (1-201 atoms).

Conclusions:

J-MMF offers a scalable and consistent framework for rare-event simulations.
The method overcomes limitations of standard MMF in high-dimensional systems.
J-MMF preserves correct transition kinetics while accelerating simulations.