Results 51 to 60 of about 4,147,379 (313)
Approximating Ground States by Neural Network Quantum States
Entropy, 2019 Motivated by the Carleo’s work [Science, 2017, 355: 602], we focus on finding the neural network quantum statesapproximation of the unknown ground state of a given Hamiltonian H in terms of the best relative error and explore the influences of sum,
Ying Yang, Chengyang Zhang, Huaixin Cao
doaj +1 more source
The value of quantitative diffusion tensor imaging indices of spinal cord disorders
The Egyptian Journal of Radiology and Nuclear Medicine, 2021 Background Different lesions affecting the spinal cord can lead to myelopathy. Diffusion tensor imaging (DTI) is widely used to predict the degree of spinal cord microstructure affection and to assess axonal integrity and diffusion directionality.
Mohammad Koriem Mahmoud Omar +3 more
doaj +1 more source
Machine learning Lie structures & applications to physics
Physics Letters B, 2021 Classical and exceptional Lie algebras and their representations are among the most important tools in the analysis of symmetry in physical systems.
Heng-Yu Chen +3 more
doaj +1 more source
Relative entropy for coherent states in chiral CFT
, 2019 We consider the relative entropy between the vacuum state and a state obtained by applying an exponentiated stress tensor to the vacuum of a chiral conformal field theory on the lightray.
Hollands, Stefan
core +1 more source
Piezoelectric Tensor of Collagen Fibrils Determined at the Nanoscale.
ACS Biomaterials Science & Engineering, 2017 Piezoelectric properties of rat tail tendons, sectioned at angles of 0, 59, and 90° relative to the plane orthogonal to the major axis, were measured using piezoresponse force microscopy.
D. Denning +9 more
semanticscholar +1 more source
Diffusion‐based size determination of solute particles: a method adapted for postsynaptic proteins
FEBS Open Bio, EarlyView.We present a diffusion‐based approach for measuring the size of macromolecules and their complexes, and demonstrate its use on postsynaptic proteins. The method requires fluorescein‐labelled protein samples, a microfluidic device that maintains laminar flow for said samples, a microscope recording the emitted fluorescent signals, and an analytic ...
András László Szabó +7 more
wiley +1 more source
An Algebraic Duality Theory for Multiplicative Unitaries
, 2001 Multiplicative Unitaries are described in terms of a pair of commuting shifts of relative depth two. They can be generated from ambidextrous Hilbert spaces in a tensor C*-category.
Doplicher, S. +2 more
core +1 more source
A general model for analysis of linear and hyperbolic enzyme inhibition mechanisms
FEBS Open Bio, EarlyView.We developed a general enzyme kinetic model that integrates these six basic inhibition mechanism onto a single one. From this model, we deduced a general enzyme kinetic equation that through modulation of simple parameters, γ (the relative inhibitor affinity for two binding sites) and β (the reactivity of the enzyme–substrate–inhibitor complex), is ...
Rafael S. Chagas, Sandro R. Marana
wiley +1 more source
EPJ Web of Conferences, 2013 Spin correlations for the ΛΛ and ΛΛ¯$Lambda ar Lambda $ pairs, generated in relativistic heavy ion collisions, and related angular correlations at the joint registration of hadronic decays of two hyperons, in which space parity is not conserved, are ...
Lyuboshitz Valery V. +1 more
doaj +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT This article explores institutional policies on artificial intelligence (AI) in higher education. As AI tools become increasingly utilized in academia—from research and teaching to assessment and student support—institutions face growing pressure to establish clear, ethical, and practical guidelines to help guide faculty.
Lauren Azevedo +3 more
wiley +1 more source