Nanoscale defect evaluation framework combining real-time transmission electron microscopy and integrated machine learning-particle filter estimation. [PDF]
Sasaki K +4 more
europepmc +1 more source
Fast‐Responding O2 Gas Sensor Based on Luminescent Europium Metal‐Organic Frameworks (MOF‐76)
Luminescent MOF‐76 materials based on Eu(III) and mixed Eu(III)/Y(III) show rapid and reversible changes in emission intensity in response to O2 with very short response times. The effect is based on triplet quenching of the linker ligands that act as photosensitizers. Average emission lifetimes of a few milliseconds turn out to be mostly unaffected by
Zhenyu Zhao +5 more
wiley +1 more source
Efficient Reject Options for Particle Filter Object Tracking in Medical Applications. [PDF]
Kummert J +6 more
europepmc +1 more source
There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato +9 more
wiley +1 more source
The deep latent space particle filter for real-time data assimilation with uncertainty quantification. [PDF]
Mücke NT, Bohté SM, Oosterlee CW.
europepmc +1 more source
Estimating the instantaneous reproduction number (Rt)by using particle filter
Won YS, Son W, Choi S, Kim J.
europepmc +1 more source
Unscented Particle Filter Algorithm Based on Divide-and-Conquer Sampling for Target Tracking. [PDF]
Du S, Deng Q.
europepmc +1 more source
3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries
Rheology‐guided formulation design for direct ink writing enables the fabrication of 3D sulfur copolymer cathodes with controlled architectures for lithium‐sulfur batteries. The printed electrodes exhibit multiscale porosity and high sulfur utilization, delivering enhanced electrochemical performance compared to conventional cast electrodes.
Bin Ling +7 more
wiley +1 more source
Probabilistic Estimation and Control of Dynamical Systems Using Particle Filter with Adaptive Backward Sampling. [PDF]
Omi T, Omori T.
europepmc +1 more source

