Results 101 to 110 of about 160,813 (290)

Generalized planar Feynman diagrams: collections

Journal of High Energy Physics, 2020
Tree-level Feynman diagrams in a cubic scalar theory can be given a metric such that each edge has a length. The space of metric trees is made out of orthants joined where a tree degenerates.
Francisco Borges, Freddy Cachazo
doaj   +1 more source

Blend Electrodes in Lithium‐Ion Batteries: Investigation of Inhomogeneities Using a Spatially Resolved Transmission Line Model

Batteries &Supercaps, EarlyView.
A model for blend electrodes is developed, parameterized, and validated using experimental data from a SiOx/Gr electrode. The model provides information about local states, such as the degree of lithiation or material‐specific C‐rates, distinguishing between the two active materials.
Maximilian Schamel, Julian Knorr, Andrea Kinberger, Michael A. Danzer   +3 more
wiley   +1 more source

Topics in algebra, geometry and differential equations

, 2022
The study of differential equations and the study of algebraic geometry are two disciplines within mathematics that seem to be mostly disjoint from each other. Looking deeper, however, one finds that connections do exist. This thesis gives in four chapters four examples of interesting mathematical insights that can be gained from combining the concepts
openaire   +2 more sources

Experimental studies on multi‐scale data‐driven methods within the framework of structural health monitoring

Civil Engineering Design, EarlyView.
Abstract The German Research Foundation has established the priority program SPP 100+. Its subject is monitoring bridge structures in civil engineering. The data‐driven methods cluster deals with the use of measurements and their special global and local analysis methods, which complement each other in an overall multi‐scale concept in order to realize
Maximilian Rohrer, Jan Backhaus, Ulf Bestmann, Vanessa De Arriba López, Pedro Achanccaray Diaz, Markus Gerke, Carsten Könke, Armin Lenzen, Lukas Lippold, Mehdi Maboudi, Max Moeller, Carlos Luis Paz Villegas, Paul Winkler, Volkmar Zabel   +13 more
wiley   +1 more source

Self-duality from twisted cohomology

Journal of High Energy Physics
Recently a notion of self-duality for differential equations of maximal cuts was introduced, which states that there should be a basis in which the matrix for an ε-factorised differential equation is persymmetric.
Claude Duhr, Franziska Porkert, Cathrin Semper, Sven F. Stawinski   +3 more
doaj   +1 more source

Expanding Chemistry of Expanded Helicenes

Chemistry – A European Journal, EarlyView.
This review presents recent advances in the chemistry of expanded helicenes, defined as helicenes containing linearly fused benzene rings, as novel aromatic compounds. This review begins with a summary of their structural classification, followed by the synthesis, structures, properties, and chiroptical performance of expanded helicenes of various ...
Shinji Toyota
wiley   +1 more source

Scattering equations: from projective spaces to tropical grassmannians

Journal of High Energy Physics, 2019
We introduce a natural generalization of the scattering equations, which connect the space of Mandelstam invariants to that of points on ℂℙ1, to higher-dimensional projective spaces ℂℙ k − 1.
Freddy Cachazo, Nick Early, Alfredo Guevara, Sebastian Mizera   +3 more
doaj   +1 more source

Applying Quality by Design to Digital Twin Supported Scale‐Up in Modular Plants

Chemie Ingenieur Technik, EarlyView.
Modular Plants are highly flexible and scalable and thus have potential utility to support faster time‐to‐process. Digital Twins of these modules require FAIR data and prior knowledge from the different domains in process development to describe the equipment capabilities. These equipment‐based Digital Twins can be combined with methods such as Quality
Amy Koch, Isabell Viedt, Andreas Bamberg, Leon Urbas   +3 more
wiley   +1 more source

A General Approach to Dropout in Quantum Neural Networks

Advanced Quantum Technologies, EarlyView., 2023
Randomly dropping artificial neurons and all their connections in the training phase reduces overfitting issues in classical neural networks, thus improving performances on previously unseen data. The authors introduce different dropout strategies applied to quantum neural networks, learning models based on parametrized quantum circuits.
Francesco Scala, Andrea Ceschini, Massimo Panella, Dario Gerace   +3 more
wiley   +1 more source

Doubling, T-Duality and Generalized Geometry: a simple model

Journal of High Energy Physics, 2018
A simple mechanical system, the three-dimensional isotropic rigid rotator, is here investigated as a 0+1 field theory, aiming at further investigating the relation between Generalized/Double Geometry on the one hand and Doubled World-Sheet Formalism ...
Vincenzo E. Marotta, Franco Pezzella, Patrizia Vitale   +2 more
doaj   +1 more source