Results 151 to 160 of about 203,799 (303)

Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning

open access: yesAdvanced Science, EarlyView.
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park   +3 more
wiley   +1 more source

films of Mae West

open access: yes, 2013
Mae West's career including appearances in vaudeville, stage and screen, photographs and stills from her ...

core  

Interface Charge Induced Multifunctional Manipulations in Metals

open access: yesAdvanced Science, EarlyView.
Voltage‑controlled interface charge enables giant, reversible modulation of magnetic anisotropy, magnetization, and resistivity in common metals. Space‑separated ions and electrons accumulate at interfaces, producing strong interfacial capacitor effect and high‑density electrons injection.
Qiang Cao   +10 more
wiley   +1 more source

Letter from Mae Wynne McFarland to Jesse A. Ziegler

open access: yes
A typed letter to Jesse A. Ziegler from Mae Wynne McFarland, requesting Mr.
McFarland, Mae Wynne
core  

Machine Learning–Guided Surface Strain Engineering in Connected Platinum–Nickel Nanoparticle Catalysts for Advanced Oxygen Reduction Performance

open access: yesAdvanced Science, EarlyView.
Machine learning‐guided strain engineering enables highly active, durable, support‐free Pt–Ni nanonetwork catalysts for the oxygen reduction reaction. Analysis of a Pt‐based catalyst dataset identifies surface compressive strain as an effective descriptor associated with enhanced activity and provided practical design guidelines.
Aparna Chitra Sudheer   +4 more
wiley   +1 more source

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