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Open AccessJournal ArticleDOI

Artificial Force Induced Reaction (AFIR) Method for Exploring Quantum Chemical Potential Energy Surfaces.

TLDR
The AFIR method is one of the automated reaction-path search methods developed by the authors, and has been applied extensively to a variety of chemical reactions, such as organocatalysis, organometallic catalysis, and photoreactions.
Abstract
In this account, a technical overview of the artificial force induced reaction (AFIR) method is presented. The AFIR method is one of the automated reaction-path search methods developed by the authors, and has been applied extensively to a variety of chemical reactions, such as organocatalysis, organometallic catalysis, and photoreactions. There are two modes in the AFIR method, i.e., a multicomponent mode and a single-component mode. The former has been applied to bimolecular and multicomponent reactions and the latter to unimolecular isomerization and dissociation reactions. Five numerical examples are presented for an Aldol reaction, a Claisen rearrangement, a Co-catalyzed hydroformylation, a fullerene structure search, and a nonradiative decay path search in an electronically excited naphthalene molecule. Finally, possible applications of the AFIR method are discussed.

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Automated exploration of the low-energy chemical space with fast quantum chemical methods

TL;DR: An efficient scheme for the in silico sampling for parts of the molecular chemical space by semiempirical tight-binding methods combined with a meta-dynamics driven search algorithm is proposed and discussed, opening many possible applications in modern computational chemistry and drug discovery.
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Computational Approach to Molecular Catalysis by 3d Transition Metals: Challenges and Opportunities

TL;DR: The challenges and capabilities of modern electronic structure methods for studying the reaction mechanisms promoted by 3d transition metal molecular catalysts are discussed, with particular focus on the ways of addressing the multiconfigurational problem in electronic structure calculations and the role of expert bias in the practical utilization of the available methods.
Journal ArticleDOI

Methods for exploring reaction space in molecular systems

TL;DR: Several of these approaches, which are categorized based on their overarching TS finding strategies, have been described in this paper, and future advances are discussed that may revolutionize the ability of simulation to fully predict not just the reaction mechanism but reaction outcomes.
Journal ArticleDOI

Exploration of Reaction Pathways and Chemical Transformation Networks

TL;DR: The different algorithmic approaches for the investigation of chemical reaction networks differ in their application range, the level of completeness of the exploration, and the amount of heuristics and human intervention required.
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Journal ArticleDOI

Scalable molecular dynamics with NAMD

TL;DR: NAMD as discussed by the authors is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems that scales to hundreds of processors on high-end parallel platforms, as well as tens of processors in low-cost commodity clusters, and also runs on individual desktop and laptop computers.
Journal ArticleDOI

A climbing image nudged elastic band method for finding saddle points and minimum energy paths

TL;DR: In this article, a modification of the nudged elastic band method for finding minimum energy paths is presented, where one of the images is made to climb up along the elastic band to converge rigorously on the highest saddle point.
Journal ArticleDOI

Self-consistent-charge density-functional tight-binding method for simulations of complex materials properties

TL;DR: In this paper, an extension of the tight-binding (TB) approach to improve total energies, forces, and transferability is presented. The method is based on a second-order expansion of the Kohn-Sham total energy in density-functional theory (DFT) with respect to charge density fluctuations.
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