2011
DOI: 10.1103/physrevb.83.224114
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Hybrid quantum-classical approach for atomistic simulation of metallic systems

Abstract: The learn-on-the-fly (LOTF) method [G. Csànyi et al., Phys. Rev. Lett. 93, 175503 (2004)] serves to seamlessly embed quantum-mechanical computations within a molecular-dynamics framework by continual local retuning of the potential's parameters so that it reproduces the quantum-mechanical forces. In its current formulation, it is suitable for systems where the interaction is short-ranged, such as covalently bonded semiconductors. We propose a substantial extension of the LOTF scheme to metallic systems, where … Show more

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Cited by 7 publications
(3 citation statements)
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“…Recently, ternary potentials have been developed to address the problem of chemical complexity, but they seem to be even less transferable to structures they were not fitted to, and no general consensus has been reached in the community upon their reliability. Non-uniform precision techniques such as the 'learn on the fly' (LOTF) multiscale quantum mechanical/molecular mechanical (QM/MM) scheme [16,17] appear promising, although they have not yet been extensively applied to metallic systems [18][19][20]. Augmenting this approach by learning algorithms that allow performing QM calculations only where and when they are necessary could further reduce the overall computational cost [21].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, ternary potentials have been developed to address the problem of chemical complexity, but they seem to be even less transferable to structures they were not fitted to, and no general consensus has been reached in the community upon their reliability. Non-uniform precision techniques such as the 'learn on the fly' (LOTF) multiscale quantum mechanical/molecular mechanical (QM/MM) scheme [16,17] appear promising, although they have not yet been extensively applied to metallic systems [18][19][20]. Augmenting this approach by learning algorithms that allow performing QM calculations only where and when they are necessary could further reduce the overall computational cost [21].…”
Section: Introductionmentioning
confidence: 99%
“…Understanding the structure of liquid Cu-In alloys is also useful in investigating the properties of industrially important ternary alloys like In-Bi-Cu and In-Sb-Cu [8]. The microscopic structural aspects of liquid alloys have been investigated by ab initio molecular dynamic (AIMD) methods, Density Functional Theory (DFT) studies, Monte Carlo (MC), and Reverse Monte Carlo (RMC) simulations [12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…In fact the QM/MM techniques are classified according to the method of creating this interface with variants that are used in chemistry and biochemistry, [3][4][5] and materials. 6,7 In cases where the quantum and classical systems are not connected through chemical bonds, the interaction between the quantum and classical parts includes only nonbonded terms (Coulomb, exchange repulsion, and dispersion). case is usually referred to as "electrostatic embedding" as the quantum system is embedded in an environment of fixed charges.…”
Section: Introductionmentioning
confidence: 99%