Results 171 to 180 of about 15,175 (257)

Rapid Room‐Temperature Ethanol Sensing in Bi2MoO6/rGO Heterostructures: Weak Adsorption‐Driven Charge Modulation

Advanced Materials Technologies, EarlyView.
This work establishes Bi2MoO6/rGO heterostructures as a mechanism‐guided platform for high‐performance room‐temperature ethanol gas detection by showing that modest adsorption, in conjunction with dynamic interfacial band modulation, enables rapid charge‐transfer.
Sagarika Panda, Savita Mehlawat, Kwanghyeon Jo, Neeraj Dhariwal, Chang Woo Myung, Mohd. Arif, Sung Bum Kang, Amit Sanger   +7 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

Evolution of OLED Lamination Technology With Development of Display Form Factors

Advanced Materials Technologies, EarlyView.
This review evaluates the evolution of organic light‐emitting diode (OLED) lamination technologies alongside advancing display form factors. It contrasts optically clear adhesives and resins, highlighting uniformity control for rigid screens, bubble‐free optimization for bended architectures, and visible‐light curing for foldable layers.
Kwan‐Young Han, Ji‐Hoon Park
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

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source

Thermodynamically consistent modeling of granular soils using physics-informed neural networks. [PDF]

Sci Rep
Irani N, Salimi M, Wichtmann T.
europepmc   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 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

Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications

Advanced Robotics Research, EarlyView.
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley   +1 more source

Physics-informed neural networks for predicting the surface temperature of carbon fiber reinforced polymers under laser irradiation. [PDF]

Sci Rep
Gao S, Wang J, Yang D, Zhang J, Wu L, Yang P, Wang P.   +6 more
europepmc   +1 more source