Results 71 to 80 of about 7,349 (250)

Single‐Atom‐Enhanced Fully Inkjet‐Printed Electrochemical Sensor for Dopamine Detection

Advanced Science, EarlyView.
Fully inkjet‐printed paper‐based dopamine sensors are fabricated using nitrogen‐doped graphene acid functionalized with copper single atoms. The copper sites uniquely enhance dopamine oxidation through strong molecular adsorption, as verified by electrochemical measurements and DFT calculations. The approach highlights the potential of single‐atom inks
Martin‐Alex Nalepa, David Panáček, Vítězslav Hrubý, Matěj Jendrišák, Rostislav Langer, Michal Langer, Petr Jakubec, Ivan Dědek, Vojtěch Kupka, Michal Mazur, Radek Zbořil, Michal Otyepka   +11 more
wiley   +1 more source

Non‐Destructive, Reference‐Free Quantitative Analysis of TaOx Memristive Devices Using Soft X‐Ray Radiation

Advanced Electronic Materials, EarlyView.
A non‐destructive, quantitative approach has been developed to explore the nanoscale dynamics of TaOx‐based memristive devices. The utilization of nano‐X‐ray fluorescence analysis enables the direct probing of spatially resolved elemental distributions, including those present in buried layers, that are critical for the resistive switching.
André Wählisch, Xin Zheng, Andreas Haidl, Jan Weser, Christian Stadelhoff, Marc Dummin, Leona J. Bauer, Rainer Unterumsberger, Ilia Valov, Burkhard Beckhoff   +9 more
wiley   +1 more source

Correcting field determination of elemental contents in soils via portable X-ray fluorescence spectrometry

Ciência e Agrotecnologia
Portable X-ray fluorescence (pXRF) spectrometry has been useful worldwide for determining soil elemental content under both field and laboratory conditions.
Thaís Santos Branco Dijair, Fernanda Magno Silva, Anita Fernanda dos Santos Teixeira, Sérgio Henrique Godinho Silva, Luiz Roberto Guimarães Guilherme, Nilton Curi   +5 more
doaj   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Geochemical Sourcing of New Zealand Obsidians by Portable X-Ray Fluorescence from 2011 to 2018

Journal of Open Archaeology Data, 2019
This dataset includes 4,582 obsidian artefacts matched to their natural geological source from 45 archaeological sites in New Zealand (Aotearoa). It is a compilation of a number of independent projects conducted in the laboratories of the University of ...
Mark D. McCoy, Alex Jorgensen, Hayley Glover, Christopher Stevenson, Brendan Kneebone, Arden Cruickshank, Andrew McAlister, Isaac McIvor, Caleb Gemmell, Dion O. O’Neale, Thegn N. Ladefoged   +10 more
doaj   +1 more source

Oxygen‐Driven Structural Reorganization by Trace Water Enabling Fast Li‐Ion Transport in a Pliable Solid Electrolyte

Advanced Energy Materials, EarlyView.
Trace water is acting as a constructive mediator in 2LiCl–GaF3, markedly increasing ionic conductivity while reorganizing local coordination. Hydration creates localized Li+ solvation environments and partially dissociates ion pairs, enhancing Li‐ion mobility.
Youngkyung Kim, Jae‐Seung Kim, Kwang Ho Shin, Jingyu Choi, Beom Jin Park, Jinyeong Choe, Jiwon Seo, Chanhyun Park, Jeongjae Lee, Dong‐Hwa Seo, Sung‐Kyun Jung   +10 more
wiley   +1 more source

Real-Time On-Site Multielement Analysis of Environmental Waters with a Portable X-ray Fluorescence (pXRF) System. [PDF]

Anal Chem, 2022
Tiihonen TE, Nissinen TJ, Turhanen PA, Vepsäläinen JJ, Riikonen J, Lehto VP.   +5 more
europepmc   +1 more source

Prediction of soil fertility properties in Southern Brazil via proximal sensing

Anais da Academia Brasileira de Ciências
Although proximal sensing coupled with machine learning (ML) algorithms have been successful for characterizing soils, questions remain regarding their effectiveness under varied soil conditions.
STEFAN D. NACHTIGALL, MARCELO MANCINI, RENATA A. REIS, ELIAS FRANK DE ARAÚJO, MARCO AURÉLIO C. CARNEIRO, NILTON CURI, SÉRGIO HENRIQUE GODINHO SILVA   +6 more
doaj   +1 more source

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

Advanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou, Cinthya Herrera, Duncan Atkins, Elixabete Ayerbe, Giorgio Baraldi, Stéphanie Belin, Anass Benayad, Didier Blanchard, Federico Capone, Ennio Capria, Isidora Cekic‐Laskovic, Robert Dominko, Kristina Edström, Ajay Gautam, Lukas Helfen, Antonella Iadecola, Quentin Jacquet, Gregor Kapun, Xinyu Li, Aleksandar Matic, Nataliia Mozhzhukhina, Andrew J. Naylor, Poul Norby, Chris O'Keefe, Alexandre Ponrouch, Jean‐Pascal Rueff, Elena Tchernykova, Deyana Tchitchekova, Israel Temprano, Nikita Vostrov, Marnix Wagemaker, Martin Winter, Christian Wölke, Tejs Vegge, Sandrine Lyonnard   +34 more
wiley   +1 more source

A portable x-ray fluorescence (pXRF) elemental dataset collected from Cambrian-age sandstone aquifer material, Wisconsin, U.S.A. [PDF]

Data Brief, 2022
Zambito JJ, Haas LD, Parsen MJ.
europepmc   +1 more source