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Metadynamics
Metadynamics (MTD; also abbreviated as METAD or MetaD) is a computer simulation method in computational physics, chemistry and biology. It is used to…
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Assisted Model Building with Energy Refinement (AMBER)
CP2K
Computational biology
Computational physics
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Computational chemistry
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Recent Results on Computational Molecular Modeling of The Origins of Life
Juan Francisco Carrascoza Mayen
,
J. Błażewicz
Foundations of Computing and Decision Sciences
2020
Corpus ID: 214764879
Abstract In the last decade of research in the origins of life, there has been an increase in the interest on theoretical…
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2018
2018
Decision functions from supervised machine learning algorithms as collective variables for accelerating molecular simulations
Mohammad M. Sultan
,
V. Pande
arXiv.org
2018
Corpus ID: 195346599
Selection of appropriate collective variables for enhancing molecular simulations remains an unsolved problem in computational…
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2017
2017
Free-energy landscapes in magnetic systems from metadynamics
J. Tóbik
,
R. Martoňák
,
V. Cambel
2017
Corpus ID: 119239468
Knowledge of free energy barriers separating different states is critically important for assessment of long-term stability of…
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2015
2015
On the accuracy of metadynamics and its variations in a protein folding process
Yunqiang Bian
,
Jian Zhang
,
Jun Wang
,
Wen Wang
2015
Corpus ID: 53684025
Metadynamics and its variations are powerful tools for exploring the free energy landscape of physical, chemical and biophysical…
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2014
2014
Attractor Metadynamics in Adapting Neural Networks
C. Gros
,
Mathias Linkerhand
,
V. Walther
International Conference on Artificial Neural…
2014
Corpus ID: 17381586
Slow adaption processes, like synaptic and intrinsic plasticity, abound in the brain and shape the landscape for the neural…
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2014
2014
SAXS-Guided Metadynamics
Farhad Kimanos
2014
Corpus ID: 92940305
In this paper a theoretical method, under the name of Metadynamics, is brought together with the data acquired from the…
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2011
2011
A VMD interface for analyzing metadynamics and molecular dynamics simulations ✩
X. Biarnés
,
F. Pietrucci
,
F. Marinelli
,
A. Laio
2011
Corpus ID: 36576877
a Institut Químic de Sarrià (IQS), Laboratory of Biochemistry, Via Augusta, 390, Barcelona, ES 08017, Spain b Centre Européen de…
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2010
2010
Effective Monte Carlo Scheme for Multicomponent Gas Adsorption and Enantioselectivity in Nanoporous Materials
T. S. V. Erp
,
D. Dubbeldam
,
T. Caremans
,
S. Calero
,
J. Martens
2010
Corpus ID: 55325416
We devise an efficient Monte Carlo scheme to study the adsorption of a multicomponent gas in a nanoporous material. The…
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2010
2010
CdTe surfaces: Characterizing dynamical processes with first-principles metadynamics
F. Pietrucci
,
G. Gerra
,
W. Andreoni
2010
Corpus ID: 94174026
We study dynamical processes at CdTe surfaces using ab initio metadynamics simulations. The c(2×2) to (2×1) transition of the Te…
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2009
2009
Immune Learning in a Dynamic Information Environment
Nikolaos Nanas
,
M. Vavalis
,
Lefteris Kellis
International Conference on Artificial Immune…
2009
Corpus ID: 15141254
In Adaptive Information Filtering, the user profile has to be able to define and maintain an accurate representation of the user…
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