Iterative learning control for spatio-temporal dynamics using Crank-Nicholson discretization
Iterative learning control is now well established for linear and nonlinear dynamics in terms of both the underlying theory and experimental application.
Rogers, E, Galkowski, K, Cichy, B
core
Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley +1 more source
Iterative Method for Linear Ordering of Multidimentional Objects
Andrzej Sokołowski +1 more
openalex +1 more source
Solution of Linear Equation Systems with a Dominant Skew-symmetric Part Using the Product Triangular Iterative Method [PDF]
Л.Г. Чикина +1 more
openalex +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Efficient Computation of EXIT Functions for Nonbinary Iterative Decoding
The calculation of nonbinary extrinsic information transfer charts for the iterative decoding of concatenated index-based codes is addressed. We show that the extrinsic information at the output of a constituent a posteriori probability decoder can be ...
Ng, S.X, Kliewer, Jorg, Hanzo, L
core
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Novel iterative method for the approximation of fixed point of a class of generalized ([Formula: see text])-nonexpansive mapping with applications to seir epidemic model. [PDF]
Alharthi NH +4 more
europepmc +1 more source
Telescoping Representations of Classical Iterative Methods and Constants
Joshua Bald
openalex +1 more source

