Results 171 to 180 of about 1,412,360 (277)
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang +5 more
wiley +1 more source
Mechanics reshapes chemistry: plastic flow actively governs two divergent, atomic‐scale mechanochemical pathways that tailor strain localization and ductility in high‐strength 7xxx Al alloys. Rather than relying on static structures, deformation dynamically reinforces the solution‐treated state via clustering, yet destabilizes the peak‐aged condition ...
Huan Zhao +9 more
wiley +1 more source
A Primer on Inference and Prediction With Epidemic Renewal Models and Sequential Monte Carlo. [PDF]
Steyn N +3 more
europepmc +1 more source
Valutazione di opzioni exchange attraverso la simulazione Monte Carlo e stima delle sensitivita'. [PDF]
Exchange options give the holder the right to exchange the asset V for the asset D. They present an important role for the evaluation of investment projects which have uncertainty both in the gross value (underlying asset) and in the investment costs ...
Giovanni Villani
core
Adult human organotypic cortical slices undergo marked neuronal loss, laminar disruption, and glial activation, yet their network activity progressively stabilizes after a variable period. Electrophysiology, longitudinal calcium imaging, and quantitative histology show that structurally remodeled human circuits show adaptive capacity resulting in ...
Estilla Zsófia Tóth +20 more
wiley +1 more source
An introduction to Sequential Monte Carlo for Bayesian inference and model comparison-with examples for psychology and behavioral science. [PDF]
Hinne M.
europepmc +1 more source
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source
Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo. [PDF]
Huijsdens H +3 more
europepmc +1 more source

