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Development and use of quantum mechanical molecular models. 76. AM1: a new general purpose quantum mechanical molecular model

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TLDR
In this paper, a new parametric quantum mechanical molecular model, AM1 (Austin Model l), based on the NDDO approximation, is described, in which the major weaknesses of MNDO, in particular failure to reproduce hydrogen bonds, have been overcome without any increase in computing time.
Abstract
A new parametric quantum mechanical molecular model, AM1 (Austin Model l), based on the NDDO approximation, is described. In it the major weaknesses of MNDO, in particular failure to reproduce hydrogen bonds, have been overcome without any increase in computing time. Results for 167 molecules are reported. Parameters are currently available for C, H, 0, and N.

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Review of Hierarchical Multiscale Modeling to Describe the Mechanical Behavior of Amorphous Polymers

TL;DR: In this paper, a review of the state of the art in multiscale modeling of amorphous polymers can be found, with a focus on three distinct scales: quantum, atomistic/coarse graining, and continuum mechanics.
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Assessment of Popular DFT and Semiempirical Molecular Orbital Techniques for Calculating Relative Transition State Energies and Kinetic Product Distributions in Enantioselective Organocatalytic Reactions.

TL;DR: The performance of computationally accessible levels of calculation for the transition states of organocatalytic reaction has been assessed and it is shown that semiempirical methods cannot even be relied on to yield qualitatively correct results.
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Spectroscopic studies of rhodamine 6G dispersed in polymethylcyanoacrylate

TL;DR: In the electronic absorption, fluorescence and resonance Raman studies of rhodamine 6G laser dye dispersed in the polymethylcyanoacrylate matrix, band maxima are red shifted compared to solution and Raman spectra show some new bands.
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Analytical second-order geometrical derivatives of energy for the self-consistent-charge density-functional tight-binding method.

TL;DR: Data for a series of conjugated polyenes show that an analytical formulation of SCC-DFTB is noticeably faster than its numerical formulation, and allows for considerable computational time saving when compared to other methods while retaining similar overall accuracy.
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