Results 261 to 270 of about 281,995 (369)

Intelligent analysis algorithm for power engineering data based on improved BiLSTM. [PDF]

Sci Rep
Xu Y, Yang J, Cai X.
europepmc   +1 more source

Cu‐Based MOF/TiO2 Composite Nanomaterials for Photocatalytic Hydrogen Generation and the Role of Copper

Advanced Functional Materials, EarlyView.
HKUST‐1/TiO2 composite materials show a very high photocatalytic hydrogen evolution rate which increases as a function of the irradiation time until reaching a plateau and even surpasses the performance of the 1%Pt/TiO2 material after three photocatalytic cycles.
Alisha Khan, Marie Le Pivert, Alireza Ranjbari, Diana Dragoe, Daniel Bahena‐Uribe, Christophe Colbeau‐Justin, Christian Herrero, Dorota Rutkowska‐Zbik, Johnny Deschamps, Hynd Remita   +9 more
wiley   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source

A software reliability model for open source big data systems based on Weibull-Weibull distribution. [PDF]

Sci Rep
Wang J, Geng H, Li P.
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

A Hybrid Model Based on a Dual-Attention Mechanism for the Prediction of Remaining Useful Life of Aircraft Engines. [PDF]

Sensors (Basel)
He C, Li Z, Zheng C, Zhang Z, Zhang L.
europepmc   +1 more source

Sonication‐Assisted Palladium Nanogaps in a Capacitive Structure: A Tunable and Reliable Solution for Sensitive Hydrogen Monitoring

Advanced Functional Materials, EarlyView.
This study presents a capacitive hydrogen sensor with a simple structure and process. Sonication‐induced Pd nanogaps modulate the effective electrode area in response to hydrogen concentration, resulting in capacitance changes within a range predefined by physical parameters.
Sang‐kil Lee, Joonho Lee, Jiwoo Hong, Seyoung Park, Eugene Cho, Seunghyun Lee, Keunhyung Lee, Hyun‐Sook Lee, Kyu Hyoung Lee, Wooyoung Lee   +9 more
wiley   +1 more source

Intelligent Fault Diagnosis System for Running Gear of High-Speed Trains. [PDF]

Sensors (Basel)
Yang S, Gao G, Wang Z, Zeng S, Ouyang Y, Zhang G.   +5 more
europepmc   +1 more source

Biodegradable and Recyclable Luminescent Mixed‐Matrix‐Membranes, Hydrogels, and Cryogels based on Nanoscale Metal‐Organic Frameworks and Biopolymers

Advanced Functional Materials, EarlyView.
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner, Julian Burkhart, Kateryna Borysova, Chiara Mazzariol, Klaus Müller‐Buschbaum   +4 more
wiley   +1 more source

Elevator fault precursor prediction based on improved LSTM-AE algorithm and TSO-VMD denoising technique. [PDF]

PLoS One
Cao H, Du X.
europepmc   +1 more source