Results 61 to 70 of about 60,447 (263)
Quantum Entanglement in Neural Network States
Physical Review X, 2017 Machine learning, one of today’s most rapidly growing interdisciplinary fields, promises an unprecedented perspective for solving intricate quantum many-body problems.
Dong-Ling Deng +2 more
doaj +1 more source
A R\'enyi entropy perspective on topological order in classical toric code models
, 2015 Concepts of information theory are increasingly used to characterize collective phenomena in condensed matter systems, such as the use of entanglement entropies to identify emergent topological order in interacting quantum many-body systems.
Helmes, Johannes +2 more
core +2 more sources
Quantum phase transition as an interplay of Kitaev and Ising interactions [PDF]
, 2014 We study the interplay between the Kitaev and Ising interactions on both ladder and two dimensional lattices. We show that the ground state of the Kitaev ladder is a symmetry-protected topological (SPT) phase, which is protected by a $\mathbb{Z}_2 \times
Haghshenas, R. +2 more
core +2 more sources
Advanced 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
Quasi-Topological Lifshitz Black Holes
, 2011 We investigate the effects of including a quasi-topological cubic curvature term to the Gauss-Bonnet action to five dimensional Lifshitz gravity. We find that a new set of Lifshitz black hole solutions exist that are analogous to those obtained in third ...
Brenna, W. G. +2 more
core +1 more source
Optimal scales in weighted networks [PDF]
, 2013 The analysis of networks characterized by links with heterogeneous intensity or weight suffers from two long-standing problems of arbitrariness. On one hand, the definitions of topological properties introduced for binary graphs can be generalized in non-
Ahnert, Sebastian E. +3 more
core +2 more sources
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced 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
Eigenstate entanglement in the Sachdev-Ye-Kitaev model [PDF]
, 2019 We study the entanglement entropy of eigenstates (including the ground state) of the Sachdev-Ye-Kitaev model. We argue for a volume law, whose coefficient can be calculated analytically from the density of states.
Gu, Yingfei, Huang, Yichen
core +2 more sources
Covalent Organic Frameworks for Water Sorption: The Importance of Framework Physical Stability
Advanced Functional Materials, EarlyView.This study explores the water‐vapor stability of 2D covalent organic frameworks (COFs) with varying pore sizes. Results reveal microporous COFs demonstrate superior stability compared to mesoporous ones, despite lower water uptake. Mesoporous keto‐enamine‐linked COFs show enhanced stability due to intralayer hydrogen bonds, confirmed by simulations and
Wei Zhao +13 more
wiley +1 more source
Towards unambiguous calculation of the topological entropy for mixed states
, 2012 Calculation of topological order parameters, such as the topological entropy and topological mutual information, are used to determine whether states possess topological order. Their calculation is expected to give reliable results when the ground states
Wootton, James R.
core +1 more source