Results 211 to 220 of about 9,265,494 (295)

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

Extrinsic and Intrinsic Charge Transfer at Interfaces of Membrane‐Based Oxide Heterostructures

Advanced Electronic Materials, EarlyView.
Freestanding oxides have emerged as a new opportunity to tailor oxides outside of the typical epitaxial constraints. We present the fabrication of TiO2‐terminated SrTiO3 membranes via direct growth control. We demonstrate competing ionic and electronic charge transfer in LaAlO3/SrTiO3 bilayers using near ambient pressure XPS.
Kapil Nayak, Marcus A. Wohlgemuth, Anton Kaus, Lisa Heymann, Alexandros Sarantopoulos, Lee‐Kang Huang, Christoph Baeumer, Regina Dittmann, Felix Gunkel   +8 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

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

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

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

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

Dynamic Landau–Khalatnikov Modeling of Ferroelectric Hafnium–Zirconium Oxides Across Volatile and Non‐Volatile Switching

Advanced Electronic Materials, EarlyView.
Compositionally engineered hafnium–zirconium oxide capacitors are described by an extended Landau–Khalatnikov framework incorporating inertial and nonlinear damping terms. The unified model captures ferroelectric and volatile regimes within a single material platform, linking free‐energy landscapes to circuit‐level behavior.
Davide Rossetti, Yichun Xu, Shiva Asapu, Taehwan Moon, Seung Ju Kim, Drake R. Austin, Ruoyu Zhao, Tong Wang, Jian Zhao, Brian M. Everhart, Michele Bonnin, Alon Ascoli, Fernando Corinto, Nicholas R. Glavin, R. Stanley Williams, J. Joshua Yang   +15 more
wiley   +1 more source

Design and Performance Analysis of Split Ring Resonator-Based Sensor for Soil Moisture Content Characterization. [PDF]

Sensors (Basel)
Alduwish S, Li Y, Scott J, Hourani A, Mahmood N.   +4 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