Results 111 to 120 of about 4,461,134 (292)
Melanin content directly controls fungal spore mechanical properties, with pigmented spores achieving rupture forces two orders of magnitude higher than hyaline spores. Environmental stress drives this quantity‐quality tradeoff; stressed species invest energy in melanin‐reinforced, mechanically superior thick‐walled, super‐hydrophobic spores, while ...
Atul Agrawal, Steven E. Naleway
wiley +1 more source
XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion
Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei +4 more
wiley +1 more source
Wind power forecasting (WPF) is important for safe, stable, and reliable integration of new energy technologies into power systems. Machine learning (ML) algorithms have recently attracted increasing attention in the field of WPF.
Mao Yang +4 more
doaj +1 more source
A graphene‐supported 2D metal–organic network stabilizes highly reactive Fe(I)‐N4 single sites through Co‐induced charge redistribution. Combined experiments and theory reveal Fe(I) formation, oxygen‐driven oxidation, and O2 activation mechanisms, offering a strategy to access low‐valent iron centers relevant to catalytic and biological processes ...
Alessandro Namar +9 more
wiley +1 more source
Role of Structural Disorder on Phonon Transport and Thermal Conductivity in Li6PS5Br
Solid electrolytes are fast ion and slow heat conductors. Although both transport properties are governed by lattice dynamics and atomic structure, their interplay remains poorly understood. Here, we study this interrelation in anion‐ordered and disordered Li6PS5Br.
Lukas Ketter +4 more
wiley +1 more source
EnKSGD: A Class of Preconditioned Black Box Optimization and Inversion Algorithms
20 pages, 3 ...
Brian Irwin, Sebastian Reich
openaire +4 more sources
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Development of dynamic black-box models for DC-DC converters using neural networks
openLe scopo della tesi è quello di stimare il modello, tramite un approccio black-box, di un convertitore DC-DC tramite tecniche basate su reti neurali (ANN). Nella prima parte della tesi vengono presentati alcuni metodi per l'identificazione black box
BREGANTIN, ALBERTO
core
Three‐dimensional bioprinting transforms breast cancer modeling from simple constructs into spatially organized, multicellular, perfused, and patient‐derived platforms. This review shows how bioinks, cellular composition, architecture, and flow govern tumor behavior and drug response, while revealing why complexity alone is insufficient without ...
Mustafa Nakipoglu +7 more
wiley +1 more source
This is a 7x5 glass plate of leafless trees and multi-story buildings beneath a planetary body with a circular halo surrounding an ecliptic shape. Title(s) by Carpenter, L.397 H86-038 Lester Black Collection Vault 334-417 Box 5 of 8 Glass plates H86-037
Black, Lester
core

