Results 201 to 210 of about 4,813,747 (265)

High‐Efficiency Quantum Defect Generation in Carbon Nanotubes via Oxygen‐Free Photochemistry

Advanced Functional Materials, EarlyView.
We show that oxygen plays an important role in quantum defect formation in carbon nanotubes and identify reaction conditions to create a range of different quantum defects for photonics and biosensing. ABSTRACT Single‐walled carbon nanotubes (SWCNTs) offer potential for a wide range of applications from optoelectronic devices to biomedical diagnostics.
Christina Derichsweiler, Valeriia D. Andreeva, Jan Stegemann, Julia Ackermann, Janus A. C. Wartmann, Svenja Herbertz, Sebastian Kruss   +6 more
wiley   +1 more source

Electron ptychography reveals correlated lattice vibrations at atomic resolution. [PDF]

Nat Commun
Gladyshev A, Haas B, Pekin TC, Boland TM, Schloz M, Rez P, Koch CT.   +6 more
europepmc   +1 more source

Particle‐Level ZrO2 Atomic Layer Deposition Enables Fast‐Cycling and Long‐Life Graphite Cathodes for Dual‐Ion Batteries

Advanced Functional Materials, EarlyView.
A spatial location of atomic layer deposition (ALD)‐derived ZrO2 coatings is demonstrated to be a critical design parameter for stabilizing graphite cathodes in DIBs. Direct particle‐level ALD (PALD) screening of representative metal oxides identified ZrO2 as the coating that provides the most favorable balance of high‐rate capability and interfacial ...
Jieun Kang, Sung Eun Jo, Yunah Ji, Dongjoo Kim, Sungho Kim, Jaegeon Ryu, Jihwan An, Soojin Park   +7 more
wiley   +1 more source

A Dual-Mode Photoconductive Colorimetric Wearable UV-Dosimeter: Strategies for Tunable UV-Band Sensitivity. [PDF]

Small
Kundu S, Jaggernauth A, O'Connor R, K Vijayaraghavan R.   +3 more
europepmc   +1 more source

XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion

Advanced Functional Materials, EarlyView.
Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei, Pascal Bertsch, Juliette Lafosse, Sander C. G. Leeuwenburgh, Mani Diba   +4 more
wiley   +1 more source

Lessons learned from using high efficiency particulate air (HEPA) filtration units in care homes: interviews with care home staff, residents and relatives from the AFRI-c trial. [PDF]

NIHR Open Res
Rees S, Brierley R, Clement C, Hay A, Sargent K, Sprackman J, Kipping R.   +6 more
europepmc   +1 more source

Stabilization of Strongly Reduced Fe(I) Single Atom Species Coordinated in a 2D Self‐Assembled Metal–Organic Network

Advanced Functional Materials, EarlyView.
A graphene‐supported 2D metal–organic network stabilizes highly reactive Fe(I)‐N4 single sites through Co‐induced charge redistribution. Combined experiments and theory reveal Fe(I) formation, oxygen‐driven oxidation, and O2 activation mechanisms, offering a strategy to access low‐valent iron centers relevant to catalytic and biological processes ...
Alessandro Namar, Basant Roondhe, Michela De Col, Stefania Baronio, Matteo Jugovac, Mattia Scardamaglia, Eleanor Frampton, Nikolay Vinogradov, Paolo Giannozzi, Erik Vesselli   +9 more
wiley   +1 more source

Doping-Free Polymer Nanoparticle Engineering of n-Type Organic Mixed Ion-Electron Conductors for Enhancement-Mode Organic Electrochemical Transistors. [PDF]

Macromol Rapid Commun
Yamamoto S, Abe K, Mitsuishi M.
europepmc   +1 more source

Degradable, Skin‐Conformal Nanocomposite‐Based Bioelectronic Patches for High‐Fidelity Electrophysiology and Gesture‐Controlled Robotics

Advanced Functional Materials, EarlyView.
A degradable, skin‐conformal bioelectronic patch combines a starch‐dominated nanocomposite conductor with a gelatin substrate to enable sensitive strain sensing, high‐fidelity electrocardiography, electromyography, electrooculography, and machine‐learning‐assisted gesture control.
Ming Dong, Hongna Yuan, Shubo Liu, Abdulkadir Sanli, Emiliano Bilotti, Han Zhang, Pietro Cataldi, Karin Hing, Oliver Fenwick, Colin J. Humphreys, Dimitrios G. Papageorgiou   +10 more
wiley   +1 more source

A Machine Learning Approach to Understand Thermal Desorption Profiles of Levoglucosan from FIGAERO-CIMS. [PDF]

Environ Sci Technol
Gramlich Y, Spahr R, Upadhyay A, Siegel K, Haslett SL, Krejci R, Yttri KE, Mohr C.   +7 more
europepmc   +1 more source