Results 91 to 100 of about 153,465 (260)

Photochromic Artificial Synapses for Neuromorphic Electronics: Mechanisms, Device Architectures, and Emerging Applications

Advanced Functional Materials, EarlyView.
Photochromic materials offer a promising route toward light‐programmable neuromorphic electronics through reversible, multilevel, and nonvolatile state modulation. This review establishes links between photochromic switching mechanisms, device architectures, and neuromorphic functions, spanning diverse materials and platforms.
Debdatta Panigrahi, Dong Hyun Lee, Jihyun Shin, Sten Gebel, Parham Derakhshanfar, Hocheon Yoo, Ulrike Kraft   +6 more
wiley   +1 more source

High False-Positive Rate of Syphilis Serological Screening in Male Blood Donors: A Molecular Validation Study [version 2; peer review: 2 approved]

F1000Research
Background Accurate serological screening is fundamental to transfusion safety. In low-prevalence donor populations, even highly specific assays have a low positive predictive value, and non-treponemal tests such as the Venereal Disease Research ...
Mothana Ali Khalil, Huda R. Sabbar, Muntaha M. H. AL-Alouci   +2 more
doaj   +1 more source

Measuring Blood Plasma Glutamine Levels Using a Nanopore‐Based Sensor

Advanced Healthcare Materials, EarlyView.
Glutamine (GLN) is a biomarker useful for predicting toxic ammonia accumulation. Here, we used a biosensor based on the Cytolysin A (ClyA) nanopore coupled with the GLN‐specific protein substrate‐binding domain 2 (SBD2) to demonstrate real‐time measurement of GLN in blood plasma, highlighting the potential for future point‐of‐care applications ...
Sofia B. Relvas, Iris M. Kormelink, Sandra Michel‐Souzy, Florian L. R. Lucas, Nieck J. van der Heide, Hans R. Waterham, Ramon Versteeg, Judith Jans, Loes I. Segerink, Carsten Wloka   +9 more
wiley   +1 more source

Neuronal Uptake of Nano‐Sized PMMA Orthopedic Wear Particles in a Compartmentalized Microfluidic Model Revealed by Label‐Free Confocal Raman Microscopy

Advanced Healthcare Materials, EarlyView.
Nano‐sized orthopedic implant‐derived particles interact with sensory neurons, with poly(methyl methacrylate) (PMMA)‐associated signal detected in neuronal somata following selective axonal exposure in compartmentalized microfluidic cultures. Label‐free confocal Raman microscopy provides complementary chemical evidence of PMMA‐associated material in ...
Marina Couto, Ana Carolina Monteiro, Maria Gomez‐Lazaro, Cristina Ribeiro, Estrela Neto, Daniela Pereira de Vasconcelos, Meriem Lamghari   +6 more
wiley   +1 more source

Standardisation of an In-house Multiplex PCR Assay for Identifying Diffusely Adherent E. coli and ESBL Producing Resistant Isolates

Journal of Pure and Applied Microbiology
We aimed to develop a multiplex PCR (mPCR) assay utilizing the afaC gene for the detection of DAEC pathotypes and the blaTEM gene for the identification of ESBL production in clinical E. coli isolates along with an Internal Amplification Control (IAC) to
Radhika Kishor Madalgi, Sughosh Kulkarni, Ganavalli Subramanya Ajantha, Shylaja Ramlal, Shruthi Aradhya, R.D. Kulkarni   +5 more
doaj   +1 more source

n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz

Advanced Materials, EarlyView.
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis, Filip Aniés, Yiyang Yu, Mohammed Ghadiyali, Hendrik Faber, Zhanibek Bizak, Youssef Kabri, Pavlos Tzourmpakis, Suman Mandal, Linqu Luo, Temur Maksudov, Mohamad Insan Nugraha, Harold F. Mazo‐Mantilla, Patrice Vanelle, Julie Broggi, Khaled N. Salama, Udo Schwingenschlögl, Martin Heeney, Atif Shamim, Thomas D. Anthopoulos   +19 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Recent Progress in the Phase‐Controlled Synthesis of Ruthenium Nanocrystals for Catalytic Applications

Advanced Materials, EarlyView.
Template effect and kinetic control enable crystal‐phase engineering of Ru nanocrystals, granting access to either metastable fcc‐Ru or stable hcp‐Ru with distinct surface structures, thermal stabilities, and catalytic behaviors. Moreover, the hcp‐Ru can further serve as an epitaxial template to direct Pd and Rh nanocrystals into the metastable hcp ...
Jianlong He, Zhiqi Wang, Jiaqi Guan, Younan Xia   +3 more
wiley   +1 more source

Parity‐Dependent THz Harmonic Generation in Electrically Pumped Micro‐Lasers Exploiting Topological Insulator–Metamaterial Gratings

Advanced Materials, EarlyView.
Topological insulator–metamaterials integrated with electrically driven terahertz quantum cascade lasers enable parity‐dependent harmonic generation. Bulk‐dominated Bi2Se3 favors third‐harmonic emission at 9.96 THz, whereas topological‐surface‐state‐dominated Bi2Se3, Bi2Te3, and (Bi,Sb)2Te3 generate strong second harmonics near 6.5 THz.
Alessandra Di Gaspare, Craig S. Knox, Ahmet Yagmur, Sara Ghayeb Zamharir, Lianhe Li, Satoshi Sasaki, A. Giles Davies, Edmund H. Linfield, Joshua R. Freeman, Miriam S. Vitiello   +9 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source