Results 211 to 220 of about 29,946 (302)

Resolving energy transfer dynamics in Eu²⁺-activated multi-site phosphors via metaheuristic optimization and physics-informed neural networks. [PDF]

Nat Commun
Lee BD, Seo YH, Cho MY, Hong JS, Park WB, Sohn KS.   +5 more
europepmc   +1 more source

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

Advanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon, Thomas Rduch, Salma Sherif Azer, Inge K. Herrmann   +3 more
wiley   +1 more source

Dynamics and forecasting of an age-structured stochastic SIR model with Lévy perturbations via physics-informed neural networks. [PDF]

Infect Dis Model
Zhang G, Wang Z, Li Z, Chen S, Chen Q.
europepmc   +1 more source

The Evolution of Aerosol Jet Printing, A Review: Enhancing Material Versatility and Improvements for Next‐Generation Applications

Advanced Materials Technologies, EarlyView.
Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee, Rocco Lupoi, Michael J. Gibbons   +2 more
wiley   +1 more source

Physics-Informed Neural Networks for Thermo-Responsive Hydrogel Swelling: Integrating Constitutive Models with Sparse Experimental Data. [PDF]

Materials (Basel)
Takmili SA, Choi E, Ostadrahimi A, Baghani M.   +3 more
europepmc   +1 more source

Non‐Volatile Silicon Mach‐Zehnder Switches with 0.7 π Phase Shift Based on Graphene Heaters and Sb2Se3 Phase Change Material

Advanced Optical Materials, EarlyView.
ABSTRACT Photonic integrated circuits (PICs) can deliver unparalleled performance for future neuromorphic computing applications. Such neuromorphic PICs require a large number of tunable switches, which are typically realized with current‐controlled heaters, resulting in considerable energy consumption.
Jens Samland, Felix Hoff, Timo Veslin, Holger Lerch, Bartos Chmielak, Martin Otto, Caroline Porschatis, Bárbara Canto, Stephan Suckow, Matthias Wuttig, Max C. Lemme   +10 more
wiley   +1 more source

Physics-informed neural networks for physiological signal processing and modeling: a narrative review. [PDF]

Physiol Meas
Zhao A, Fattahi D, Hu X.
europepmc   +1 more source

Data‐Efficient Electromagnetic Surrogate Solver Through Dissipative Relaxation Transfer Learning

Advanced Optical Materials, EarlyView.
Dissipative relaxation transfer learning (DIRTL) enables data‐efficient training of electromagnetic surrogate solvers by pretraining data generated with artificial material loss before fine‐tuning on target lossless data. The framework suppresses resonant outlier effects during early training, allowing effective adaptation to high‐amplitude resonances ...
Sunghyun Nam, Chan Y. Park, Min Seok Jang   +2 more
wiley   +1 more source

Time-Varying Autoregressive Models: A Novel Approach Using Physics-Informed Neural Networks. [PDF]

Entropy (Basel)
Jia Z, Zhang C.
europepmc   +1 more source

Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles

Advanced Optical Materials, EarlyView.
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov, Mahdi Shanei, Mikael Käll   +2 more
wiley   +1 more source