Results 181 to 190 of about 114,742 (297)

Ga Doping Enables Precision Alloy‐to‐Wire Regulation: Synergistic Enhancement of the Mechanical Properties of CuSn Alloy and the Superconducting Properties of Nb3Sn

open access: yesAdvanced Science, EarlyView.
By adjusting Ga's doping in Cu–Sn alloy, an ultra‐high elongation of 100.8% is achieved in first time. Ga forms a stable solid solution structure and a stronger electron exchange with Cu. This enhances strength‐ductility synergistically by tuning SFE to balance twinning and slip.
Dazhuo Song   +15 more
wiley   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

open access: yesAdvanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li   +23 more
wiley   +1 more source

Temporal integration in human auditory cortex is predominantly yoked to absolute time. [PDF]

open access: yesNat Neurosci
Norman-Haignere SV   +7 more
europepmc   +1 more source

A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition

open access: yesAdvanced Science, EarlyView.
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu   +10 more
wiley   +1 more source

Borophene: Crucial Challenges and the Way Forward

open access: yesAdvanced Science, EarlyView.
This review explores the challenges and progress in borophene research, focusing on synthesis strategies, structural properties, and potential applications. It highlights key experimental breakthroughs, discusses theoretical insights into borophene's unique features, and addresses pathways for overcoming stability and scalability issues.
Zhixuan Li   +3 more
wiley   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

open access: yesAdvanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy