Results 181 to 190 of about 3,265,059 (298)

Spreading and absorption of silicone oil droplets on silicone elastomer films. [PDF]

open access: yesEur Phys J E Soft Matter
Dutcher L   +4 more
europepmc   +1 more source

Advances in Electroactive Liquid Crystal Elastomers for Intelligent Robotics and Electronics

open access: yesAdvanced Robotics Research, EarlyView.
Electroactive liquid crystal elastomers (eLCEs) integrate molecular anisotropy with electrical functionality to enable programmable actuation and reconfigurable electronics. This review classifies eLCEs into robotic actuators and adaptive electronics, summarizes key actuation mechanisms, and highlights fabrication strategies that bridge materials to ...
Kavita Ramesh Rathod   +14 more
wiley   +1 more source

High‐Performance Ternary Organic Solar Cells via Isomeric Engineering of Nonfullerene Guest Acceptors

open access: yesAdvanced Science, EarlyView.
Two isomeric nonfullerene acceptors, BTP‐γ‐Br and BTP‐δ‐Br, were designed to investigate their effects on the optoelectronic properties and photovoltaic performance of ternary blends. Incorporating BTP‐γ‐Br into the D18:N3 binary system can enhance film crystallinity and suppress charge recombination, achieving a high PCE of 19.2% and a certified JSC ...
Zhenzhong Pan   +8 more
wiley   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

open access: yesAdvanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich   +2 more
wiley   +1 more source

Topography influences megadune distribution and morphology. [PDF]

open access: yesProc Natl Acad Sci U S A
Zhao H   +6 more
europepmc   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

open access: yesAdvanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu   +4 more
wiley   +1 more source

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