Results 241 to 250 of about 28,270 (263)

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia   +2 more
wiley   +1 more source

Fluctuation theorems for autonomous work. [PDF]

open access: yesProc Natl Acad Sci U S A
Jarzynski C, Deffner S, Rahav S.
europepmc   +1 more source

In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs

open access: yesAdvanced Intelligent Discovery, EarlyView.
A vision‐based add‐on transforms commercial spin coaters into autonomous modules of Self‐Driving Labs. Combining a width‐scaled U‐Net with classical geometric analysis, the system simultaneously measures contact angles and estimates substrate pose using a single camera.
Sven Fischer, Micha Hiegle, Holger Röhm
wiley   +1 more source

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong   +4 more
wiley   +1 more source

Generalized stochastic processes in algebras of generalized functions

open access: yesJournal of Mathematical Analysis and Applications, 2009
Stochastic processes with paths in a generalized function algebra are defined and it is shown that there exists an embedding of generalized functional stochastic processes into such ones.
Stevan Pilipovic, Dora Selesi
exaly   +2 more sources
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Lévy driven CARMA generalized processes and stochastic partial differential equations

Stochastic Processes and Their Applications, 2020
David Berger
exaly  

Probabilistic properties of generalized stochastic processes in algebras of generalized functions

Monatshefte Fur Mathematik, 2017
Snezana Gordić   +2 more
exaly  

A generalized theory of multiplicative stochastic processes using cumulant techniques

Journal of Mathematical Physics, 1975
Ronald Forrest Fox, Fox Ronald Forrest
exaly  

Generalized Feller processes and Markovian lifts of stochastic Volterra processes: the affine case

Journal of Evolution Equations, 2020
Christa Cuchiero   +2 more
exaly  

Generalized stochastic processes in algebras of generalized functions: Independence, stationarity and SPDEs

Journal of Mathematical Analysis and Applications, 2019
Snezana Gordić   +2 more
exaly  

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