Large-Scale Functional Group Symmetry-Adapted Perturbation Theory on Graphical Processing Units

2018 ◽  
Vol 14 (3) ◽  
pp. 1737-1753 ◽  
Author(s):  
Robert M. Parrish ◽  
Keiran C. Thompson ◽  
Todd J. Martínez
2019 ◽  
Vol 21 (40) ◽  
pp. 22491-22510
Author(s):  
Michał Chojecki ◽  
Dorota Rutkowska-Zbik ◽  
Tatiana Korona

The F-SAPT partitioning of the intermolecular interaction energy, supported with the Interacting-Quantum-Atoms analysis, is a powerful tool for studies of the origin of chiral discrimination within diastereoisomeric complexes of the RR and RS types.


2015 ◽  
Vol 6 (2) ◽  
pp. 5-16 ◽  
Author(s):  
Sergio Alberto Abreo Carrillo ◽  
Ana B. Ramirez ◽  
Oscar Reyes ◽  
David Leonardo Abreo-Carrillo ◽  
Herling González Alvarez

2020 ◽  
Vol 501 (1) ◽  
pp. L71-L75
Author(s):  
Cornelius Rampf ◽  
Oliver Hahn

ABSTRACT Perturbation theory is an indispensable tool for studying the cosmic large-scale structure, and establishing its limits is therefore of utmost importance. One crucial limitation of perturbation theory is shell-crossing, which is the instance when cold-dark-matter trajectories intersect for the first time. We investigate Lagrangian perturbation theory (LPT) at very high orders in the vicinity of the first shell-crossing for random initial data in a realistic three-dimensional Universe. For this, we have numerically implemented the all-order recursion relations for the matter trajectories, from which the convergence of the LPT series at shell-crossing is established. Convergence studies performed at large orders reveal the nature of the convergence-limiting singularities. These singularities are not the well-known density singularities at shell-crossing but occur at later times when LPT already ceased to provide physically meaningful results.


2013 ◽  
Vol 46 (3) ◽  
pp. 594-600 ◽  
Author(s):  
ElSayed Mohamed Shalaby ◽  
Miguel Afonso Oliveira

In the past few years, new hardware tools have become available for computing using the graphical processing units (GPUs) present in modern graphics cards. These GPUs allow efficient parallel calculations with a much higher throughput than microprocessors. In this work, fast Fourier transformation calculations used inSIR2011software algorithms have been carried out using the power of the GPU, and the speed of the calculations has been compared with that achieved using normal CPUs.


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