Results 181 to 190 of about 70,439 (268)

Fuzzy Vaults in Biometric Cryptosystems: A Survey of Techniques, Performance, and Applications. [PDF]

Sensors (Basel)
Farheen F, Yang WY, Sharma S, Singh S.
europepmc   +1 more source

A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration

Advanced Electronic Materials, EarlyView.
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti, K. Nikiruy, A.S. Demirkol, Alon Ascoli, M. Ziegler, R. Tetzlaff, Fernando Corinto   +6 more
wiley   +1 more source

Study of nanoparticle morphology effect on fluid flow between two active parallel plates. [PDF]

Discov Nano
Punith Gowda RJ, Rajeev Banakar V, Juneja S, Singh S, Anil Kumar KM.   +4 more
europepmc   +1 more source

Wetting‐Driven Transfer of Flexible Ultra‐Thin Temperature Sensors

Advanced Electronic Materials, EarlyView.
A wetting‐driven transfer approach enables ultra‐thin temperature sensors to be transferred from a super‐hydrophilic donor substrate onto rigid, curved, and biological receiver substrates. By combining controlled wetting with a conformal Parylene carrier layer, the method preserves stable thermal sensing performance while expanding the integration of ...
Hafiza Faiqa Maqsood, Annelot Nijkoops, Fahimeh Masoumi, Giuseppe Cantarella, Niko Münzenrieder, Riccardo Zamboni   +5 more
wiley   +1 more source

Predicting global horizontal irradiance using regression-based machine learning models in high-altitude environments. [PDF]

Front Artif Intell
Humpiri-Flores ME, Mamani-Pari D, Lévano D, Gomez Apaza RD, Tocto-Cano E, Condori-Coaquira ÁR, López-Gonzales JL.   +6 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

GMDH-Guided Variable Prioritization in PAGE Block Growth of PEO-<i>b</i>-PAGE via Living Anionic Ring-Opening Polymerization. [PDF]

Polymers (Basel)
Lee S, Jang JD, Bae J, Kim TH.
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Random regression model for growth analysis in female buffaloes. [PDF]

Trop Anim Health Prod
Vilarinho BDRDS, Nóbrega L, de Abreu Santos DJ, Guimarães TP, Tonhati H, Aspilcueta-Borquis RR, de Araujo Neto FR.   +6 more
europepmc   +1 more source