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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04028-9
Abstract: We present the Resilient Self-organizing Tissue (ReST) model, a self-organized neural model based on an infinitely often continuously differentiable ($$C^\infty$$C∞) energy function. ReST extends older work on energy-based self-organizing models (IEEE international conference on neural…
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Keywords:
energy;
boundary conditions;
energy function;
model ... See more keywords
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Published in 2022 at "Journal of Chemical Theory and Computation"
DOI: 10.1021/acs.jctc.2c00069
Abstract: The traditional approach of computational biology consists of calculating molecule properties by using approximate classical potentials. Interactions between atoms are described by an energy function derived from physical principles or fitted to experimental data. Their…
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Keywords:
neural network;
physics;
energy;
energy function ... See more keywords
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Published in 2022 at "Nature"
DOI: 10.1038/s41586-021-04383-5
Abstract: A protein backbone structure is designable if a substantial number of amino acid sequences exist that autonomously fold into it1,2. It has been suggested that the designability of backbones is governed mainly by side chain-independent…
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Keywords:
energy;
energy function;
backbone;
backbone centred ... See more keywords
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Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab598
Abstract: MOTIVATION Despite many successes, de novo protein design is not yet a solved problem as its success rate remains low. The low success rate is largely because we do not yet have an accurate energy…
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Keywords:
energy function;
protein design;
function based;
design ... See more keywords
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Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz926
Abstract: MOTIVATION Most proteins perform their biological functions through interactions with other proteins in cells. Amino acid mutations, especially those occurring at protein interfaces, can change the stability of protein-protein interactions (PPIs) and impact their functions,…
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Keywords:
protein;
ssipe;
protein protein;
energy function ... See more keywords
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Published in 2018 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2018.2829887
Abstract: Direct methods have been a promising development for decades, receiving, however, less attention recently. One of the reasons is the limited capacity to include more realistic models of the power systems equipment. This paper derives…
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Keywords:
energy function;
synchronous generator;
analytical energy;
energy ... See more keywords
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Published in 2017 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2015.2510866
Abstract: This paper presents an energy function-based optimal control strategy for output stabilization of integrated doubly fed induction generator (DFIG)-flywheel energy storage architecture to keep the grid power isolated from wind power output and voltage fluctuations…
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Keywords:
flywheel energy;
energy;
energy storage;
energy function ... See more keywords
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Published in 2018 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2016.2555909
Abstract: Conventional wide-area control strategies that are deployed to damp inter-area oscillations use fixed a priori schemes based on modal analysis of the power system. As these controllers cannot be tuned online, such schemes fail to…
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Keywords:
energy function;
area;
wide area;
value priority ... See more keywords
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Published in 2020 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2019.2915567
Abstract: This paper presents a novel surface registration technique using the spectrum of the shapes, which can facilitate accurate localization and visualization of non-isometric deformations of the surfaces. In order to register two surfaces, we map…
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Keywords:
surface registration;
eigenvectors feature;
eigenvalues eigenvectors;
function ... See more keywords
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Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3188546
Abstract: Analog neural networks are highly effective to solve some optimization problems, and they have been used for target localization in distributed multiple-input multiple-output (MIMO) radar. In this work, we design a new relaxed energy function…
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Keywords:
energy function;
relaxed energy;
target localization;
localization ... See more keywords
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Published in 2023 at "American Journal of Physics"
DOI: 10.1119/5.0100950
Abstract: When learning about potential energy functions, students are sometimes told that the potential energy function is analogous to that of a particle sliding along a frictionless roller coaster track or wire confined to a vertical…
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Keywords:
potential energy;
energy;
motion;
track ... See more keywords