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Nuwan De Silva

Researcher at Iowa State University

Publications -  21
Citations -  817

Nuwan De Silva is an academic researcher from Iowa State University. The author has contributed to research in topics: Density functional theory & Chemistry. The author has an hindex of 10, co-authored 16 publications receiving 391 citations. Previous affiliations of Nuwan De Silva include Tennessee Technological University & Western New England University.

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Recent developments in the general atomic and molecular electronic structure system.

TL;DR: A discussion of many of the recently implemented features of GAMESS (General Atomic and Molecular Electronic Structure System) and LibCChem (the C++ CPU/GPU library associated with GAMESS) is presented, which include fragmentation methods, hybrid MPI/OpenMP approaches to Hartree-Fock, and resolution of the identity second order perturbation theory.
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Computer-Aided Molecular Design of Bis-phosphine Oxide Lanthanide Extractants.

TL;DR: Evaluation of the ligand geometry provides the first characterization of a steric origin for the "anomalous aryl strengthening" effect and a number of novel bis-phosphine oxide ligands that are better organized for lanthanide complexation than previously studied examples are identified.
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Implementation of the analytic energy gradient for the combined time-dependent density functional theory/effective fragment potential method: Application to excited-state molecular dynamics simulations

TL;DR: The analytical energy gradient has been derived and implemented for the linear-response time-dependent density functional theory (TDDFT) combined with the effective fragment potential (EFP) method, and the calculated π*→n transition energy and solvatochromic shift are in good agreement with other theoretical results.
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Anharmonicity of weakly bound M(+)-H2 complexes.

TL;DR: The anharmonicity of weakly bound complexes is studied using the vibrational self-consistent field (VSCF) approach for a series of metal cation dihydrogen (M(+)-H(2)) complexes with insight into the observed trends provided by symmetry adapted perturbation theory (SAPT).
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ParFit: A Python-Based Object-Oriented Program for Fitting Molecular Mechanics Parameters to ab Initio Data

TL;DR: A newly created object-oriented program for automating the process of fitting molecular-mechanics parameters to ab initio data, termed ParFit, is presented, which uses a hybrid of deterministic and stochastic genetic algorithms.