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Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

Discrete-time neural Markov models. [PDF]

open access: yesBMC Med Res Methodol
Sundell J, Wahlquist Y, Soltesz K.
europepmc   +1 more source

Empirical Transition Probability Indexing Sparse-Coding Belief Propagation (ETPI-SCoBeP) Genome Sequence Alignment

open access: yesCancer Informatics, 2015
Aminmohammad Roozgard   +4 more
doaj  

Markov transition probabilities. I

Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete, 1967
A continuous-parameter Markov process on a general state space has transition function P t (x,E). The theory of regenerative phenomena is applied to the question: what functions of t can arise in this way? Particular attention is paid to processes of purely discontinuous type, to which are extended known results for ...
openaire   +2 more sources

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