Results 91 to 100 of about 35,950 (265)
Advanced Functional Materials, EarlyView.This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker +5 more
wiley +1 more source
More results on degree deviation and degree variance [PDF]
Journal of Mahani Mathematical ResearchThis paper investigates degree deviation and variance in graph theory, with a specific focus on $k$-regular graphs and subdivision of graphs. These metrics are fundamental for characterizing graph irregularity and have significant applications in ...
Mohsen Sayadi +2 more
doaj +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Advanced Functional Materials, EarlyView.Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Network efficiency of spatial systems with fractal morphology: a geometric graphs approach. [PDF]
Sci Rep, 2023 Flores-Ortega AC +2 more
europepmc +1 more source
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
Box graphs and resolutions II: From Coulomb phases to fiber faces
Nuclear Physics B, 2016 Box graphs, or equivalently Coulomb phases of three-dimensional N=2 supersymmetric gauge theories with matter, give a succinct, comprehensive and elegant characterization of crepant resolutions of singular elliptically fibered varieties. Furthermore, the
Andreas P. Braun, Sakura Schäfer-Nameki
doaj +1 more source
Advanced Functional Materials, EarlyView.We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj +21 more
wiley +1 more source
Geometric graphs from data to aid classification tasks with Graph Convolutional Networks. [PDF]
Patterns (N Y), 2021 Qian Y +3 more
europepmc +1 more source
Domination in Geometric Intersection Graphs [PDF]
, 2008 For intersection graphs of disks and other fat objects, polynomial-time approximation schemes are known for the independent set and vertex cover problems, but the existing techniques were not able to deal with the dominating set problem except in the special case of unit-size objects.
Erlebach, T., Leeuwen, van, E.J.
openaire +2 more sources
A study on wavelet analysis of railway track geometry
Journal of Innovative TransportationRepeated train passages and environmental conditions cause deterioration of the geometric conditions of railway lines. When track geometry graphs are examined, it is seen that railway tracks have a rough, wavy form due to geometric deterioration.
Murat Vergi Taciroğlu, Hakan Işıker
doaj +1 more source