Results 231 to 240 of about 70,698 (294)
Tuning the state: Matching condensate material properties with physiological demands and pathological dysfunction. [PDF]
Luo J +8 more
europepmc +1 more source
Abstract Understanding a population's distribution depends on observing the presence and movement of individuals throughout their range. For highly mobile marine species, these observations typically rely on high effort monitoring programs. Tracking enough individuals to understand trends in movement behavior is not always logistically feasible, and ...
Abigail M. Kreuser +3 more
wiley +1 more source
Statistical downscaling reproduces high-resolution ocean transport for particle tracking in the Bering Sea. [PDF]
Kristiansen T, Miller J, Butenschön M.
europepmc +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
Multiscale Uncertainty Quantification of Woven Composite Structures by Dual-Correlation Sampling for Stochastic Mechanical Behavior. [PDF]
Yang G +5 more
europepmc +1 more source
This review provides the latest advancement on lead‐free all‐inorganic perovskites, covering fundamental aspects, emerging synthetic routes, and scintillation properties. We highlight the dopant engineering strategy to favor the formation and efficient radiative recombination of self‐trapped excitons and the future development direction for the next ...
Galfin Anderias Adu +6 more
wiley +1 more source
Thermomechanical Behavior and Mesoscale Simulation of Conglomerate under Impact Loading for Geothermal Engineering. [PDF]
Cheng W +5 more
europepmc +1 more source
An uncertainty‐aware FEM–GPR active learning framework efficiently explores the design space of 3D braided W–Cu composites, identifying architectures with higher yield strength and preserved electrical conductivity, whereas SHAP interpretation highlights yarn spacing in the braid plane as the key structural factor controlling composite performance ...
Lai Zhang +6 more
wiley +1 more source
Identification of modulated whole-brain dynamical models from nonstationary electrophysiological data. [PDF]
Schwamb A, Yu Z, Ching S.
europepmc +1 more source

