2020
DOI: 10.1021/acs.jctc.0c00454
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Computational Spectroscopy in Solution by Integration of Variational and Perturbative Approaches on Top of Clusterized Molecular Dynamics

Abstract: Multiscale QM/MM approaches have become the most suitable and effective methods for the investigation of spectroscopic properties of medium- or large-size chromophores in condensed phases. On these grounds, we are developing a novel workflow aimed at improving the generality, reliability, and ease of use of the available tools. In the present paper, we report the latest developments of such an approach with specific reference to a general workplan starting with the addition of acetonitrile to the panel of solv… Show more

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Cited by 6 publications
(9 citation statements)
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“…All MD simulations were run with a locally modified version of the Gaussian 28 suite of programs using the rotational velocity Verlet (RVV1) integrator 29 with an ϵ = 10 –9 convergence criterion for the calculation of quaternion derivatives, with the exception of CH 3 OH which was treated as a flexible molecule and simulated employing the standard Velocity-Verlet integrator and enforcing holonomic constraints by means of the RATTLE method. 30 The Bussi–Donadio–Parrinello 31 thermostat was used, and a weak coupling scheme was employed in NPT simulations.…”
Section: Methodsmentioning
confidence: 99%
“…All MD simulations were run with a locally modified version of the Gaussian 28 suite of programs using the rotational velocity Verlet (RVV1) integrator 29 with an ϵ = 10 –9 convergence criterion for the calculation of quaternion derivatives, with the exception of CH 3 OH which was treated as a flexible molecule and simulated employing the standard Velocity-Verlet integrator and enforcing holonomic constraints by means of the RATTLE method. 30 The Bussi–Donadio–Parrinello 31 thermostat was used, and a weak coupling scheme was employed in NPT simulations.…”
Section: Methodsmentioning
confidence: 99%
“…In a forthcoming release of the IM-EA code we will integrate completely the Proxima python API 52 (Pyproxima) to detect topological changes on the fly, but for the present case (Ag + in aqueous solution) the presence of just two different molecular species allowed us to use a fixed topology with distinct fragments. To manipulate fragment coordinates, instead of working with Cartesian coordinates, we adopted a rigid body description based on quaternions 21 for most transformations. Mutation happens then in the following way: first, a fragment is selected; then, with user defined probabilities, one operator is selected among a panel of six choices (note that any move can be excluded by setting its probability to 0):…”
Section: Mutation and Crossover For Non-covalent Interactionmentioning
confidence: 99%
“…In previous contributions [15][16][17] we have proposed and validated the application of one of such algorithms, namely the (λ + µ) Island Model Evolutionary Algorithm (IM-EA hereafter), to the investigation of the conformational landscape of biomolecule building blocks 18 or relatively simple organometallic systems 19 . The present contribu-tion presents a number of relevant improvements to the IM-EA method: (i) in the previous contribution we simply checked the capabilities of the method in exploring PESs of flexible systems with the goal of completeness without an in depth discussion of the importance of various components in the method, which is presented in this manuscript; (ii) we previously limited the exploration to dihedral angles of isolated flexible systems, whereas here we present also a new set of operators based on quaternions 20,21 able to deal with inter-molecular interactions; (iii) we add a number of improvements to the method, with new mutation operators and the Hall of Fame mechanism (see section 2.1) and (iv) introduce effective unsupervised clustering of candidate structures in order to reduce as much as possible the number of expensive quantum chemical (QC) computations; neither the computer code, nor the case studies discussed below were presented before. Once again we carry out an in depth benchmark of several semi empirical (SE) methods [22][23][24][25] in the exploration step and of last-generation methods rooted in the density functional theory (DFT) for the exploitation of the above results to compute accurate structural and spectroscopic parameters.…”
Section: Introductionmentioning
confidence: 99%
“…The RVV1 integrator 26 was used in all simulations, with a convergence criterion ϵ = 10 –9 for the calculation of quaternion derivatives. The “rough walls” 26 boundary condition and the Bussi–Donadio–Parrinello 33 thermostat were used in all the NVT/NPBC simulations. The equilibration of the system involved an initial minimization with the conjugate gradient method and a subsequent simulation for 1000 ps with a small integration step of 0.5 fs and temperature of 298.15 K. The production run was then initiated at 298.15 K and continued for 25 ns with an integration time step of 4.0 fs.…”
Section: Theory and Computational Detailsmentioning
confidence: 99%
“…The TIP3P-FB rigid water molecule was used in all the simulations, whereas the topology and initial GAFF2 parameters of creatinine have been obtained with the PrimaDORAC web interface. The geometries of amine and imine tautomers were optimized at the B3LYP/6-31+G­(d) level taking into account bulk solvent effects by means of the polarizable continuum model (PCM), and point atomic charges were assigned performing a CM5 population analysis of the corresponding Kohn–Sham orbitals, following the protocol adopted with success for the study of several other systems. , Molecular structures, atomic labels, and charges for the two tautomers are shown Figure .…”
Section: Theory and Computational Detailsmentioning
confidence: 99%