Results 181 to 190 of about 2,074,319 (241)

Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions

open access: yesAdvanced Science, EarlyView.
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan   +8 more
wiley   +1 more source

Mapping the flow of painterly gesture. [PDF]

open access: yesPatterns (N Y)
Zhu L, Chun C, Brown K, Wang JZ.
europepmc   +1 more source

A Thickness‐Invariant Origami Robot With Integrated Actuation and Multimodal Locomotion

open access: yesAdvanced Science, EarlyView.
A thickness‐invariant variation on the Yoshimura origami pattern is used as the basis of a robot, allowing power, actuation, and control systems to be embedded within the thickened panels of the pattern. The robot uses multiple kinematic branches to achieve distinct modes of locomotion, such as walking, running, galloping, and turning. ABSTRACT Origami
Davis Wing   +4 more
wiley   +1 more source

AI‐Powered, Temperature‐Resolved Centrifugal Microfluidics for Rapid 3D Phase‐Diagram Generation of Biomolecular Condensates

open access: yesAdvanced Science, EarlyView.
By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li   +6 more
wiley   +1 more source

MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis

open access: yesAdvanced Science, EarlyView.
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort   +3 more
wiley   +1 more source

A Multi‐Scale Computational Framework for Evaluating Wireless Neuromodulation Feasibility via Magnetoelectric Nanoparticles

open access: yesAdvanced Science, EarlyView.
A multiscale computational framework links single‐nanoparticle magnetoelectric behavior to tissue‐level electric field distributions, integrating experimental data from nanoparticle characterization and in vitro stimulation setups. Applied to a cortical slice configuration, the framework predicts optimal MENP concentrations and stimulation parameters ...
Marta Bonato   +10 more
wiley   +1 more source

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