Results 191 to 200 of about 23,111 (264)

Autonomous High‐Throughput Characterization of Liquid‐Liquid Phase Behavior

open access: yesAdvanced Science, EarlyView.
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

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

open access: yesAdvanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

Interfacial Growth of 420 nm Ultrathin and Dense MOFs for Composite Electrolyte to Reduce Li+ Conduction Resistance and Inhibit Lithium Dendrite

open access: yesAdvanced Science, EarlyView.
In this work, an interfacial growth method using PVDF‐HFP enables controlled permeation of 2‐methylimidazole to react with Co2+, forming an ultrathin (420 nm) ZIF‐67 layer by precisely tuning the reaction time. This dense layer promotes lithium salt dissociation and suppresses dendrite growth, while its ultrathin nature reduces Li+ transport resistance,
Xinhong Qi   +10 more
wiley   +1 more source

A Multimodal Haptic Feedback Interface with Thin‐Film Compliant Mechanism

open access: yesAdvanced Science, EarlyView.
Multimodal haptic devices can trigger different mechanoreceptors, enabling richer haptic information. This study presents an electromagnetic multimodal haptic device capable of delivering indentation, stretch, and vibration stimuli. The device is enabled by a novel polymer thin‐film compliant mechanism that provides high translational compliance along ...
Jingjing Wan   +15 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
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

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