Results 71 to 80 of about 846,338 (367)

Topological entanglement entropy relations for multi phase systems with interfaces [PDF]

open access: yes, 2010
We study the change in topological entanglement entropy that occurs when a two-dimensional system in a topologically ordered phase undergoes a transition to another such phase due to the formation of a Bose condensate.
Bais, F. A., Slingerland, J. K.
core   +1 more source

Direct Evidence of Topological Dirac Fermions in a Low Carrier Density Correlated 5d Oxide

open access: yesAdvanced Functional Materials, EarlyView.
The 5d oxide BiRe2O6 is discovered as a low‐carrier‐density topological semimetal hosting symmetry‐protected Dirac fermions stabilized by nonsymmorphic symmetries. Angle‐resolved photoemission spectroscopy, quantum oscillations, and magnetotransport measurements reveal gapless Dirac cones, quasi‐2D Fermi surfaces, high carrier mobility, and a field ...
Premakumar Yanda   +11 more
wiley   +1 more source

Topological Entropy of Cournot-Puu Duopoly

open access: yesDiscrete Dynamics in Nature and Society, 2010
The aim of this paper is to analyze a classical duopoly model introduced by Tönu Puu in 1991. For that, we compute the topological entropy of the model and characterize those parameter values with positive entropy.
Jose S. Cánovas, David López Medina
doaj   +1 more source

Mechanochemistry‐Assisted Solvent‐Free Supramolecular Engineering for Atomic‐Layered Carbon Nitride Nanosheets with Enhanced Photocatalytic Hydrogen Evolution

open access: yesAdvanced Functional Materials, EarlyView.
A solvent‐free mechanochemistry‐enabled supramolecular engineering strategy is developed to directly synthesize covalent‐interconnected two‐dimensional atomic‐layered carbon nitride nanosheets photocatalyst, bypassing conventional top‐down exfoliation requirements.
Fanglei Yao   +7 more
wiley   +1 more source

Topological entropy of DNA sequences [PDF]

open access: yesBioinformatics, 2011
Abstract Motivation: Topological entropy has been one of the most difficult to implement of all the entropy-theoretic notions. This is primarily due to finite sample effects and high-dimensionality problems. In particular, topological entropy has been implemented in previous literature to conclude that entropy of exons is higher than of ...
openaire   +3 more sources

Topological pressures for $\epsilon$-stable and stable sets

open access: yes, 2010
Topological pressures of the preimages of $\epsilon$-stable sets and some certain closed subsets of stable sets in positive entropy systems are investigated.
Ercai Chen, Walters, Xianfeng Ma, Xiong
core   +1 more source

Synthesis and Electronic Structure of the Fractionally Occupied Double Perovskite EuTa2O6 with Ordered Europium Vacancies

open access: yesAdvanced Functional Materials, EarlyView.
Two‐dimensional electronic states are the foundation of modern semiconductor technology. Here, we report molecular‐beam epitaxy growth of fractional double perovskite, EuTa2O6. Reciprocal space mapping and transmission electron microscopy confirm a layered ordering of A‐site cations.
Tobias Schwaigert   +15 more
wiley   +1 more source

Entanglement spectrum and entropy in topological non-Hermitian systems and nonunitary conformal field theory [PDF]

open access: yesPhysical Review Research, 2019
We propose a method of computing and studying entanglement quantities in non-Hermitian systems by use of a biorthogonal basis. We find that the entanglement spectrum characterizes the topological properties in terms of the existence of mid-gap states in ...
P. Chang, J. You, X. Wen, S. Ryu
semanticscholar   +1 more source

Analytic Expression for the Entanglement Entropy of a 2D Topological Superconductor

open access: yes, 2016
We study a model of two dimensional, topological superconductivity on a square lattice. The model contains hopping, spin orbit coupling and a time reversal symmetry breaking Zeeman term.
Borchmann, Jan, Pereg-Barnea, T.
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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