Results 211 to 220 of about 61,093 (305)
Autonomous High‐Throughput Characterization of Liquid‐Liquid Phase Behavior
This study introduces an automated dual modality platform, combining asymmetric capacitance deviation and multiangle turbidimetry, for high‐throughput characterization of liquid‐liquid phase behavior across chemically diverse fluid systems. The platform enables miscibility classification, resolution of phase separation kinetics and emulsion stability ...
Tarek Eid +3 more
wiley +1 more source
Bayesian Clustering Factor Models. [PDF]
Shin H, Ferreira MAR, Tegge AN.
europepmc +1 more source
Multiscale Circuit Architecture Associated With Memory Dysfunction in Temporal Lobe Epilepsy
A multiscale precision‐mapping framework reveals that memory impairment in temporal lobe epilepsy arises from the convergence of focal medial temporal pathology, strategic white matter disconnection, and limbic‐centered metabolic network dysfunction.
Jiajie Mo +12 more
wiley +1 more source
A Bottom-Up Design Framework for Multifunctional Lattice Metamaterials. [PDF]
Hu Z +13 more
europepmc +1 more source
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
High-Uniformity Flat-Top Light Spot Based on a Dielectric Metasurface. [PDF]
Pu X +6 more
europepmc +1 more source
Liquid metal catalysts are widely assumed to promote high‐quality 2D growth. In this work, operando experiments and machine‐learning‐accelerated simulations show that hBN on Cu breaks this graphene‐derived expectation, where molten Cu promotes multilayer/3D growth, but re‐solidified single‐crystal Cu stabilizes monolayer formation.
Nikoo Ghanadan +17 more
wiley +1 more source
Density Estimation Based on Mixtures of Gaussians for Perovskite Solar Cells Modeling. [PDF]
Sepúlveda FA +2 more
europepmc +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Ocean transit times: from basin to planetary scales. [PDF]
Cessi P.
europepmc +1 more source

