2006
DOI: 10.1103/physrevlett.97.170201
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Structural Relaxation Made Simple

Abstract: We introduce a simple local atomic structure optimization algorithm which is significantly faster than standard implementations of the conjugate gradient method and often competitive with more sophisticated quasi-Newton schemes typically used in ab initio calculations. It is based on conventional molecular dynamics with additional velocity modifications and adaptive time steps. The surprising efficiency and especially the robustness and versatility of the method is illustrated using a variety of test cases fro… Show more

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Cited by 1,538 publications
(1,182 citation statements)
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“…All our structural relaxations were performed under constant stress using the Fast Inertial Relaxation Engine (FIRE). 19,20 For this purpose, we had to modify the algorithm accordingly (see Appendix A). Every 10 steps, we cycled through non-magnetic, ferromagnetic, antiferromagnetic-checkerboard, stripe-type antiferromagnetic (along unit cell axis a) and stripe-type antiferromagnetic (along unit cell axis b) spin configurations, and then we continued the relaxation with the lowest energy spin configuration.…”
Section: Methodsmentioning
confidence: 99%
“…All our structural relaxations were performed under constant stress using the Fast Inertial Relaxation Engine (FIRE). 19,20 For this purpose, we had to modify the algorithm accordingly (see Appendix A). Every 10 steps, we cycled through non-magnetic, ferromagnetic, antiferromagnetic-checkerboard, stripe-type antiferromagnetic (along unit cell axis a) and stripe-type antiferromagnetic (along unit cell axis b) spin configurations, and then we continued the relaxation with the lowest energy spin configuration.…”
Section: Methodsmentioning
confidence: 99%
“…Prior to nanoscratching, the as-created nt Cu samples are first relaxed to their equilibrium configurations by the following procedure: The atoms in the samples are first relaxed to their minimum energy configurations using the FIRE (fast inertia relaxation engine) algorithm. 25 Then the samples are heated up to 30 K by dynamic MD simulation using the Nose-Hoover thermostat for 40 ps in the isothermal-isobaric NPT ensemble. The equilibrated Cu samples are then subjected to nanoscratching using a spherical diamond probe with a radius of 4 nm in the microcanonical NVE ensemble.…”
Section: Simulation Methodsmentioning
confidence: 99%
“…We study a mixture of particles with radii distributed uniformly between a and 1.4a all with the same mass m. The units of length, mass, and energy are a, m, and . The initial particle configurations were prepared by randomly placing the particle centers within the simulation box and then quenching to zero temperature using a fast inertial relaxation engine algorithm [21] to relax the total energy. The particle packing fraction was adjusted to yield the desired pressure p, as in Ref.…”
mentioning
confidence: 99%