A generalized linear response framework for expanded ensemble and replica exchange simulations

Area of Science:

• Computational chemistry
• Statistical mechanics

Background:

• Expanded ensemble simulations enhance sampling over thermodynamic parameters.
• Practical implementation faces challenges in state selection, weight determination, and efficient sampling.

Purpose of the Study:

• To address practical challenges in expanded ensemble simulations.
• To present a pairwise linear response approach for enhanced sampling.

Main Methods:

• Pairwise linear response approach applied to the work fluctuation theorem.
• Tactics for selecting thermodynamic states and sampling weights.
• Efficient sampling strategies for expanded parameter spaces.

Main Results:

• The pairwise linear response approach provides comprehensive solutions for simulation challenges.
• The method is applicable to multi-dimensional parameter spaces.
• Results align with existing literature for specialized methods like replica exchange.

Conclusions:

• The presented approach offers a robust framework for expanded ensemble simulations.
• It serves as a valuable alternative or complement to replica exchange methods.
• Demonstrated utility with NAMD simulation engine.