Results 111 to 120 of about 3,008,496 (291)
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski +5 more
wiley +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Abstract Iterative and Non-iterative Simulation Algorithms
iterative simulation methods are related to rejection sampling and importance sampling, two methods which have been traditionally thought of as non-iterative.
The Gibbs Sampler, Metropolis Algorithm
core
Iterative Decoding As Dykstra''S Algorithm With Alternate I-Projection And Reverse I-Projection
Publication in the conference proceedings of EUSIPCO, Lausanne, Switzerland ...
openaire +4 more sources
Analysis of crystallographic phase retrieval using iterative projection algorithms
For protein crystals in which more than two thirds of the volume is occupied by solvent, the featureless nature of the solvent region often generates a constraint that is powerful enough to allow direct phasing of X-ray diffraction data. Practical implementation relies on the use of iterative projection algorithms with good global convergence ...
Michael J. Barnett +2 more
openaire +3 more sources
Inverse Design of Nanoparticulate Materials
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré +5 more
wiley +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim +4 more
wiley +1 more source
Nonlinear phase retrieval using projection operator and iterative wavelet thresholding
International audienceWith hard X-rays synchrotron beams, phase contrast can be obtained with the measurement of the Fresnel diffraction intensity patterns associated to a phase shift induced by the object.
Langer, M. +3 more
core +1 more source
Cross‐sectional Lorentz TEM and off‐axis electron holography visualize the magnetic domain structure and quantify interlayer coupling in Fe3GeTe2/graphite/Fe3GeTe2 heterostructures. A stray‐field coupling length of 37±$\pm$7 nm marks the onset of domain misalignment between the layers.
Joachim Dahl Thomsen +6 more
wiley +1 more source

