Results 41 to 50 of about 98,858 (265)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Reliability Analysis of the Reconfigurable Integrated Modular Avionics Using the Continuous-Time Markov Chains

open access: yesInternational Journal of Aerospace Engineering, 2018
The integrated modular avionics (IMA) has been widely deployed on the new designed aircraft to replace the traditional federated avionics. Hosted in different partitions which are isolated by the virtual boundaries, different functions are able to share ...
Changxiao Zhao, Peng Wang, Fang Yan
doaj   +1 more source

Markov Chains and Dynamical Systems: The Open System Point of View [PDF]

open access: yes, 2010
This article presents several results establishing connections be- tween Markov chains and dynamical systems, from the point of view of open systems in physics.
Attal, Stéphane
core   +4 more sources

Exceptional Antimodes in Multi‐Drive Cavity Magnonics

open access: yesAdvanced Electronic Materials, EarlyView.
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith   +4 more
wiley   +1 more source

Markov Models in health care [PDF]

open access: yesEinstein (São Paulo), 2010
Markov Chains provide support for problems involving decision on uncertainties through a continuous period of time. The greater availability and access to processing power through computers allow that these models can be used more often to represent ...
Renato Cesar Sato   +1 more
doaj   +4 more sources

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

On the Properties of the Reaction Counts Chemical Master Equation

open access: yesEntropy, 2019
The reaction counts chemical master equation (CME) is a high-dimensional variant of the classical population counts CME. In the reaction counts CME setting, we count the reactions which have fired over time rather than monitoring the population state ...
Vikram Sunkara
doaj   +1 more source

Random time-changes and asymptotic results for a class of continuous-time Markov chains on integers with alternating rates

open access: yesModern Stochastics: Theory and Applications, 2020
We consider continuous-time Markov chains on integers which allow transitions to adjacent states only, with alternating rates. This kind of processes are useful in the study of chain molecular diffusions.
Luisa Beghin   +2 more
doaj   +1 more source

The power of averaging at two consecutive time steps: Proof of a mixing conjecture by Aldous and Fill [PDF]

open access: yes, 2016
Let $(X_t)_{t = 0 }^{\infty}$ be an irreducible reversible discrete time Markov chain on a finite state space $\Omega $. Denote its transition matrix by $P$.
Hermon, Jonathan, Peres, Yuval
core   +2 more sources

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

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