Results 141 to 150 of about 1,404,805 (284)
2D Skeletal Muscle Thin Film Actuators Enhance Efficiency of Biohybrid Robots
2D skeletal muscle thin film actuators generate millinewton‐scale forces and millimeter‐scale strokes while remaining functional for over 30 days. Their force density is 20‐fold higher than 3D skeletal muscle actuators, enabling multi‐fin robots with tunable speed and multidirectional steering.
Maheera Bawa +5 more
wiley +1 more source
WALS estimation and forecasting in factor-based dynamic models with an application to Armenia [PDF]
Two model averaging approaches are used and compared in estimating and forecasting dynamic factor models, the well-known BMA and the recently developed WALS. Both methods propose to combine frequentist estimators using Bayesian weights.
Magnus, J.R., Poghosyan, K.
core
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
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Randomly weighted averages on multivariate Dirichlet distributions with generalized parameters
Summary: We study the distributional properties of the product of random stochastic matrices by using the Dirichlet distribution. Our observations widely generalize some known results on the randomly weighted averages about multivariate Dirichlet distributions.
Hazhir Homei +2 more
openaire +2 more sources
Maximum Likelihood Method for Predicting Environmental Conditions from Assemblage Composition: The R Package bio.infer [PDF]
This paper provides a brief introduction to the R package bio.infer, a set of scripts that facilitates the use of maximum likelihood (ML) methods for predicting environmental conditions from assemblage composition.
Lester L. Yuan
core
In our study, we define aggregation operators for cubic hesitant fuzzy sets which includes generalized cubic hesitant fuzzy averaging (geometric) operator, cubic hesitant fuzzy ordered weighted averaging (geometric) operator, generalized cubic hesitant ...
Faisal Mehmood; Department of Mathematics and Statistics, International Islamic University, Islamabad +2 more
core
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall +4 more
wiley +1 more source
Defect‐free transfer principles enable scalable fabrication of 15 µm‐thin garnet‐based hybrid solid electrolytes. Hansen solubility parameters correlate interfacial compatibility with coating, transfer, and impregnation behavior, guiding rational selection of slurry/substrate, binder/substrate, and binder/polymer electrolyte combinations.
Seul Gi Chu +8 more
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

