Results 71 to 80 of about 460,152 (328)

Decoherence for Markov chains

open access: yesStochastics, 2022
11 ...
Francesco Fidaleo, Elia Vincenzi
openaire   +4 more sources

Chemical AI in the Limelight: The Contribution of Photochromic Materials and Oscillatory Chemical Reactions

open access: yesAdvanced Optical Materials, EarlyView.
Photochromic compounds are versatile ingredients for the development of Chemical AI. When they are embedded in a tight microenvironment, they become Markov blankets. They are also valuable for processing Boolean and Fuzzy logic. They contribute to neuromorphic engineering in wetware based on opto‐chemical signals exchanged with oscillatory chemical ...
Pier Luigi Gentili
wiley   +1 more source

Strong Ergodicity in Nonhomogeneous Markov Systems with Chronological Order

open access: yesMathematics
In the present, we study the problem of strong ergodicity in nonhomogeneous Markov systems. In the first basic theorem, we relax the fundamental assumption present in all studies of asymptotic behavior.
P.-C.G. Vassiliou
doaj   +1 more source

Metastable Markov chains

open access: yesProbability Surveys, 2019
We review recent results on the metastable behavior of continuous-time Markov chains derived through the characterization of Markov chains as unique solutions of martingale problems.
openaire   +6 more sources

On automorphisms of Markov chains [PDF]

open access: yesTransactions of the American Mathematical Society, 1992
We prove several theorems about automorphisms of Markov chains, using the weight-per-symbol polytope.
Brian Marcus   +2 more
openaire   +1 more source

Density of States and Binding Energy Informatics for Exploring Early Disease Detection in MOF‐Metal Oxide Chemiresistive Sensors

open access: yesAdvanced Theory and Simulations, EarlyView.
Binding energy and electronic structure calculations are used to assess the ability of metal–organic framework (MOF)‐TiO2 composite materials to detect volatile organic compounds found in human breath. Electronic structure changes are measured by comparing density of states profiles using Wasserstein distances.
Maryam Nurhuda   +3 more
wiley   +1 more source

Hydrogeological feasibility of mine water deep geological storage in Baotashan coarse sandstone: A case study in Ordos Basin

open access: yesDeep Underground Science and Engineering, Volume 1, Issue 2, Page 148-164, December 2022., 2022
We conducted a new approach of mine water‐deep geological storage, the results showed that the hydrogeological feasibility of Baotashan coarse sandstone (BCS) was impressive and useful for real project. The effective porosity of BCS aquifers ranged from 1.36% to 3.46% and the capacity of mine water geological storage was 0.455–1.266 Mm3 for 1 km2 in ...
Ge Chen, Yajun Sun, Zhimin Xu, Xin Li
wiley   +1 more source

Concentration optimization of combinatorial drugs using Markov chain-based models

open access: yesBMC Bioinformatics, 2021
Background Combinatorial drug therapy for complex diseases, such as HSV infection and cancers, has a more significant efficacy than single-drug treatment.
Shuang Ma   +4 more
doaj   +1 more source

The Markov Process as a Model of Migration Based on the Example of the Movement of Banknotes

open access: yesStudia i Materiały, 2021
This paper presents a way of using the Markov chain model for the analysis of migration based on the example of banknote migration between regions in Poland.
Arkadiusz Manikowski
doaj   +1 more source

Variational Formulas of Asymptotic Variance for General Discrete-time Markov Chains [PDF]

open access: yesarXiv, 2020
The asymptotic variance is an important criterion to evaluate the performance of Markov chains, especially for the central limit theorems. We give the variational formulas for the asymptotic variance of discrete-time (non-reversible) Markov chains on general state space. The variational formulas provide many applications, extending the classical Peskun'
arxiv  

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