Gaussian Process Regression for Mapping Free EnergyLandscape of Mg<sup>2+</sup>-Cl<sup>-</sup> Ion Pairing in Aqueous Solution: Molecular Insights and Computational Efficiency. [PDF]
Pornpatcharapong W.
europepmc +1 more source
AngioPlate384 is a 384‐well open‐top platform that automates production of more than 100 miniaturized, perfusable blood vessels embedded in hydrogel and supported by stromal cells. Stromal‐endothelial co‐culture strengthens blood vessel barrier function and yields responses useful for translational planning. Scalable and automation‐ready, it suits drug
Dawn S. Y. Lin +14 more
wiley +1 more source
To dissect how mechanical forces influence intestinal physiology, we developed a stretchable 3D colon‐on‐chip that integrates tunable topography, stiffness and peristalsis‐like motion within a physiologically relevant microenvironment. We showed that stretching is a dominant factor governing epithelial behavior, markedly enhancing proliferation and ...
Moencopi Bernheim‐Dennery +10 more
wiley +1 more source
Applying Gaussian Process Machine Learning and Modern Probabilistic Programming to Satellite Data to Infer CO<sub>2</sub> Emissions. [PDF]
Jeong S +5 more
europepmc +1 more source
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
Planning under uncertainty for safe robot exploration using Gaussian process prediction. [PDF]
Stephens A +7 more
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A Gaussian-process approximation to a spatial SIR process using moment closures and emulators. [PDF]
Trostle P, Guinness J, Reich BJ.
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Gaussian-process-based Bayesian optimization for neurostimulation interventions in rats. [PDF]
Choinière L +5 more
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GPMelt: A hierarchical Gaussian process framework to explore the dark meltome of thermal proteome profiling experiments. [PDF]
Le Sueur C, Rattray M, Savitski M.
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Bayesian optimization with Gaussian-process-based active machine learning for improvement of geometric accuracy in projection multi-photon 3D printing. [PDF]
Johnson JE +4 more
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