1. Flexible and Comprehensive Implementation of MD-PMM Approach in a General and Robust Code
- Author
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Oliver Carrillo-Parramon, Andrea Amadei, Sara Del Galdo, Vincenzo Barone, Giordano Mancini, Massimiliano Aschi, CARRILLO PARRAMON, Oliver, Del Galdo, Sara, Aschi, Massimiliano, Mancini, Giordano, Amadei, Andrea, and Barone, Vincenzo
- Subjects
Theoretical computer science ,Computer science ,Gaussian ,Complex system ,Molecular Dynamics Simulation ,010402 general chemistry ,01 natural sciences ,symbols.namesake ,Software ,0103 physical sciences ,Code (cryptography) ,Ion ,Physical and Theoretical Chemistry ,Cluster analysis ,Uridine ,Settore CHIM/02 - Chimica Fisica ,Ions ,Molecular Structure ,010304 chemical physics ,business.industry ,Water ,Computer Science Applications1707 Computer Vision and Pattern Recognition ,Observable ,Action (physics) ,0104 chemical sciences ,Computer Science Applications ,symbols ,Tyrosine ,Quantum Theory ,business ,Algorithm ,Matrix method - Abstract
The Perturbed Matrix Method (PMM) approach to be used in combination with Molecular Dynamics (MD) trajectories (MD-PMM) has been recoded from scratch, improved in several aspects, and implemented in the Gaussian suite of programs for allowing a user-friendly and yet flexible tool to estimate quantum chemistry observables in complex systems in condensed phases. Particular attention has been devoted to a description of rigid and flexible quantum centers together with powerful essential dynamics and clustering approaches. The default implementation is fully black-box and does not require any external action concerning both MD and PMM sections. At the same time, fine-tuning of different parameters and use of external data are allowed in all the steps of the procedure. Two specific systems (Tyrosine and Uridine) have been reinvestigated with the new version of the code in order to validate the implementation, check the performances, and illustrate some new features.
- Published
- 2017