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Path Integral Metadynamics.

Ruge Quhe1,2, Marco Nava1, Pratyush Tiwary1

  • 1Department of Chemistry and Applied Biosciences, ETH Zurich, and Facoltà di Informatica, Istituto di Scienze Computazionali, Università della Svizzera Italiana , Via G. Buffi 13, 6900 Lugano, Switzerland.

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|November 18, 2015
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Summary
This summary is machine-generated.

We developed an efficient quantum system simulation method using path integral molecular dynamics and metadynamics. This approach enhances sampling of high free energy regions, improving the discovery of global energy minima.

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Area of Science:

  • Quantum mechanics
  • Computational chemistry
  • Statistical mechanics

Background:

  • Simulating static properties of quantum systems is computationally challenging.
  • Traditional methods struggle to overcome energy barriers and explore complex free energy landscapes.

Purpose of the Study:

  • To develop an efficient computational approach for simulating quantum systems.
  • To enhance the exploration of free energy landscapes and identify global minima.

Main Methods:

  • Utilizing path integral molecular dynamics (PIMD) combined with metadynamics.
  • Mapping quantum systems to isomorphic classical ring polymers.
  • Employing a history-dependent biasing potential based on polymer elastic energy.

Main Results:

  • The developed method effectively enhances fluctuations in polymer shape and size.
  • The technique allows for efficient escape from deep energy minima within limited computation time.
  • High free energy regions and otherwise insurmountable barriers are successfully sampled.

Conclusions:

  • The new approach significantly improves the ability to find global free energy minima.
  • It facilitates the exploration of metastable states in quantum systems.
  • Demonstrated performance on model potentials of varying complexity validates the technique.