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Related Concept Videos

Double Integrals in Polar Coordinates01:27

Double Integrals in Polar Coordinates

Double integrals provide an effective method for calculating areas and other physical quantities distributed across two-dimensional regions. In engineering and design applications, curved geometries often appear in structures such as ponds, reservoirs, and circular foundations. When these regions possess circular symmetry, polar coordinates offer a more natural and efficient description than Cartesian coordinates. This coordinate system simplifies the integration process by representing points...
Integration Applied to Polar Coordinates to Find Areas01:15

Integration Applied to Polar Coordinates to Find Areas

A rotating lawn sprinkler with an uneven spray pattern produces a variable reach as it distributes water in different directions. This directional variation in spray distance can be effectively described using polar coordinates, where the distance from the center is represented as a function of the angle of rotation. The path traced by the spray then forms a polar curve, which captures the irregularities in the sprinkler’s reach across the full rotation.To calculate the total area watered by...
Integration Applied to Polar Coordinates to Find Arc Lengths01:26

Integration Applied to Polar Coordinates to Find Arc Lengths

In polar coordinates, a plane curve is described by a radial distance r from a fixed point, called the pole, and an angle θ measured from a reference direction. This system is especially useful for paths that naturally involve rotation, such as an expanding spiral followed by a search drone. If the hiker’s last known position is treated as the pole, then the drone’s location at any instant can be represented by the polar equation r = f(θ), where the distance from the pole changes as the drone...
Central-Force Motion01:17

Central-Force Motion

The central force system operates by exerting a force on an object directed towards a fixed point, typically the origin, with the force magnitude determined by the object's distance from this fixed point. In the context of an object with mass 'm,' polar coordinates are employed to express the equation of motion. Notably, the azimuthal component of force is nonexistent in this system. A comprehensive rewrite and integration of this equation reveal that the product of the squared radial distance...
Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:

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Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies
07:31

Realistic Membrane Modeling Using Complex Lipid Mixtures in Simulation Studies

Published on: September 1, 2023

A fast path integral method for polarizable force fields.

George S Fanourgakis1, Thomas E Markland, David E Manolopoulos

  • 1Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, GR-711 10, Heraklion, Greece. fanourg@iesl.forth.gr

The Journal of Chemical Physics
|September 11, 2009
PubMed
Summary
This summary is machine-generated.

Quantum simulations of path integrals are computationally intensive. This study introduces a method using potential decomposition to reduce computational effort, achieving near-classical efficiency for polarizable force fields in systems like water and ice.

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Area of Science:

  • Computational Chemistry
  • Quantum Simulation
  • Statistical Mechanics

Background:

  • Quantum simulations of imaginary time path integrals are computationally demanding, scaling with the number of ring polymer beads (n).
  • Classical simulations offer a computational advantage, but accurately capturing quantum effects requires specialized techniques.

Purpose of the Study:

  • To develop and test a novel quantum simulation method that reduces computational cost for systems with polarizable force fields.
  • To achieve computational efficiency approaching classical methods for complex molecular systems.

Main Methods:

  • Decomposing the potential into slowly and rapidly varying contributions.
  • Utilizing a contracted ring polymer approach with fewer beads for slowly varying parts.
  • Iterating induction on the contracted ring polymer and applying transformations to obtain forces.
  • Splitting the Coulomb potential into short- and long-range components.

Main Results:

  • The developed method significantly reduces computational effort for quantum simulations of path integrals.
  • The approach achieves near-classical computational cost in the limit of large system sizes.
  • Successful application to simulations of liquid water and hexagonal ice using a polarizable Thole-type potential.

Conclusions:

  • The proposed method offers a computationally efficient alternative for quantum simulations of systems with polarizable force fields.
  • This technique is particularly advantageous for large molecular systems, bridging the gap between quantum and classical simulation costs.
  • The study demonstrates the practical applicability of the method in condensed-phase systems.