Results 221 to 230 of about 7,151,756 (306)

Algorithmic Design of Disordered Networks With Arbitrary Coordination: Application to Biophotonics

open access: yesAdvanced Functional Materials, EarlyView.
Predictive Design of Disordered Networks: Disordered network‐like morphologies are abundant in nature, from cytoskeletal networks to bone structures and chalcogenide glasses. These structures are naturally hard to characterize. A new algorithmic tool extends the established Wooten–Weaire–Winer (WWW) algorithm to valencies above 4.
Florin Hemmann   +3 more
wiley   +1 more source

Correction: NanoBERTa-ASP: predicting nanobody paratope based on a pretrained RoBERTa model

open access: yesBMC Bioinformatics
Shangru Li   +4 more
doaj   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

open access: yesAdvanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

open access: yesAdvanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu   +5 more
wiley   +1 more source

Correction: Infoveillance of COVID-19 Infections in Dentistry Using Platform X: Descriptive Study.

open access: yesJ Med Internet Res
Al-Mansoori A   +7 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy