Results 231 to 240 of about 5,919,808 (365)

Ion‐Selective Microporous Membranes via One‐Step Copolymerization Enable High‐Performance Redox Flow Batteries

Advanced Functional Materials, EarlyView.
A scalable one‐step copolymerization strategy is developed to produce low‐cost microporous ion exchange membranes that boost both the efficiency and lifespan of flow batteries. When combined with organic electrolytes in aqueous systems, these membranes enable safe and cheap flow battery energy storage, supporting the widespread integration of renewable
Jiaye Liu, Chunchun Ye, Ying Ma, Rui Tan, Xiangwen Wang, Huiting Zhang, Peng Song, Quan‐Fu An   +7 more
wiley   +1 more source

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

Advanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon, Dong Ho Lee, Seyoung Oh, Jongwon Yoon, Hyo‐Bae Kim, Ji‐Hoon Ahn, Woojin Park, Han Seul Kim, Byungjin Cho   +8 more
wiley   +1 more source

Potentiality of generative AI tools in higher education: Evaluating ChatGPT's viability as a teaching assistant for introductory programming courses

Zishan Ahmed, Shakib Sadat Shanto, Akinul Islam Jony   +2 more
openalex   +1 more source

Supraparticles Composed of Graphitic Carbon Nitride Nanoparticles and Silica‐Supported Horseradish Peroxidase as Customizable Hybrid Catalysts for Photo‐Biocatalytic Cascade Reactions in Continuous Flow

Advanced Functional Materials, EarlyView.
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig, Egzon Cermjani, Doris Hanselmann, Johannes Prieschl, Angelika Schmitt, Michael S. Moritz, Christian Papp, Greta Nölke, Stefano Di Fiore, Christoph Deckers, Thomas H. Rehm, Susanne Wintzheimer   +11 more
wiley   +1 more source

Feasibility of AI as first reader in the 4-IN-THE-LUNG-RUN lung cancer screening trial: impact on negative-misclassifications and clinical referral rate [PDF]

A. Walstra, Harriet L Lancaster, Marjolein A. Heuvelmans, Carlijn M. van der Aalst, J Hubert, Dana Moldovanu, Sytse F. Oudkerk, Daiwei Han, Jan W. Gratama, Mario Silva, Harry J. de Koning, Matthijs Oudkerk   +11 more
openalex   +1 more source

At‐Home Early Diagnosis of Mastitis: Calibration‐Free Analysis of Sodium to Potassium Ratio in Breast Milk

Advanced Functional Materials, EarlyView.
MAMAWEL is introduced as the first calibration‐free potentiometric sensor for at‐home mastitis diagnosis. By measuring the sodium‐to‐potassium ratio in breast milk, the device reliably differentiates between healthy and mastitis‐affected samples with less than 10% error.
Ali Soleimani, Farbod Amirghasemi, Melissa Banks, Abdulrahman Al‐Shami, Sina Khazaee Nejad, Abdalrhman Sheer, Clare Dominique Sanchez, Haozheng Ma, Daniel Vargas Ramos, Maral P.S. Mousavi   +9 more
wiley   +1 more source

Explaining women's skepticism toward artificial intelligence: The role of risk orientation and risk exposure. [PDF]

PNAS Nexus
Borwein S, Magistro B, Alvarez RM, Bonikowski B, Loewen PJ.   +4 more
europepmc   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Love, marriage, pregnancy: Commitment processes in romantic relationships with AI chatbots

Ray Djufril, Jessica R. Frampton, Silvia Knobloch‐Westerwick   +2 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source