Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
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
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Accelerating a coherent Ising machine by XY-Ising spin transition. [PDF]
Kim K, Yamamoto Y.
europepmc +1 more source
Discrete-time neural Markov models. [PDF]
Sundell J, Wahlquist Y, Soltesz K.
europepmc +1 more source
Fragmentation of Nuclear Remnants in Electron-Nucleus Collisions at High Energy as a Nonextensive Process. [PDF]
Duan TT +4 more
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The Challenge of Time-to-Event Analysis for Multiple Events: A Guided Tour From Time-to-First-Event to Recurrent Time-to-Event Analysis. [PDF]
Schmeller S +4 more
europepmc +1 more source
Modelling the Effects of Treatment Failure on the Minor Outbreak Duration for Carrier-Related Infectious Disease. [PDF]
Voottipruex P +2 more
europepmc +1 more source
How Useful are Transitional Probabilities in Adult-Directed Speech?
Kelly Enochson
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Dynamic disease progression in non-metastatic nasopharyngeal carcinoma post-radical radiotherapy: a Markov model-based analysis in a Chinese cohort. [PDF]
Li Y +10 more
europepmc +1 more source
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Markov transition probabilities. I
Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete, 1967A 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 ...
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