Results 181 to 190 of about 7,358,573 (253)

Engineered Nanotopography to Modulate Growth and Signaling of Neuronal Networks

Advanced Functional Materials, EarlyView.
This study examines the interaction between neurons and nanoscale topographies on engineered substrates. Neurons cultured on nanowires, nanopillars and nanoneedles exhibit enhanced neurite outgrowth, form more organized neuronal circuits, and display improved synaptic connectivity, compared to flat substrates.
Hao Nguyen Tran, Kalyan Shobhana, Zlatan Trifunovic, Dan Smith, Michael Stuiber, Chennupati Jagadish, Mirella Dottori, Andrea J. O'Connor, Vini Gautam   +8 more
wiley   +1 more source

Engineering Dirac Cones in Graphene for Efficient Iodide Catalysis: Insights by Nanoscale Electrochemistry. [PDF]

Adv Sci (Weinh)
Lu YS, Chang KE, Chou TL, Garcia-Ruiz A, Lin TH, Liu YT, Kumatani A, Liu MH, Watanabe K, Taniguchi T, Chu MW, Chen TM, Chen CW, Li SS.   +13 more
europepmc   +1 more source

Bio‐Inspired Artificial Ionic Mechanoreceptor

Advanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari, Jeppe Don, Lasse A. N. Pedersen, John Noee, Rassoul Tabassian   +4 more
wiley   +1 more source

Oxidative Porphyrinoid Metamorphosis of Fourfold N-Confused [32]Octaphyrin Bis-Metal Complex to Doubly Linked 10-Oxacorrole Metal Complex Dimer. [PDF]

Angew Chem Int Ed Engl
Liu Y, Xu L, Rao Y, Yin B, Zhou M, Osuka A, Song J.   +6 more
europepmc   +1 more source

High‐Speed Photoresponse of CVD‐Grown Lateral TMD Heterostructures

Advanced Functional Materials, EarlyView.
Internal electric fields generated by p‐n junctions and asymmetric Schottky barriers enhance the photoresponse speed in CVD‐grown monolayer TMD lateral heterostructures. This results in a 1.5‐2 orders of magnitude reduction in rise and fall times for optimized device configurations compared to homogeneous single‐material devices, enabling bandwidths ...
Mario Martin, Axel Printschler, William Roberts, Jonas L. Hiller, Patrick Michel, Martin Eberle, Marco Hammer, Md Tarik Hossain, Andrey Turchanin, Marcus Scheele   +9 more
wiley   +1 more source

An integrated One Health surveillance on cyclosporiasis outbreaks in the United States. [PDF]

New Microbes New Infect
Aborode AT, Allison MO, Akinyosoye FO, Aliyu AA.   +3 more
europepmc   +1 more source

Exchange‐Coupled Two‐Dimensional MOFs

Advanced Functional Materials, EarlyView.
Graphene mediates ferromagnetic coupling between two‐dimensional metal‐organic frameworks and cobalt. Fe‐tetracyanobenzene develops a remanent magnetic response whose orientation follows the cobalt magnetization direction and persists up to room temperature, whereas Ni‐TCNB remains only field‐polarized.
Iulia Cojocariu, Pierluigi Gargiani, Manuel Valvidares, Frederik Schirdewahn, Matthias Muntwiler, Matteo Jugovac   +5 more
wiley   +1 more source

First Principles Study on the Electronic Structure and Optical Properties of NCQDs/TiO₂(101). [PDF]

Materials (Basel)
Luo C, Gao J, Gou G, Jiang K, Zhu Z.
europepmc   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Development and evaluation of a multi-source machine learning model to predict critical illness and death in patients with substance misuse. [PDF]

JAMIA Open
Gupta P, Gruenloh T, Oguss M, Safipour Afshar A, Spigner M, Gussick M, Churpek M, Lee T, Afshar M, Mayampurath A.   +9 more
europepmc   +1 more source