Results 231 to 240 of about 490,186 (290)

Low‐Temperature Processed Optoelectronic Synapses With Enhanced Responsivity for Edge‐Oriented In‐Sensor Reservoir Computing

Advanced Materials Technologies, EarlyView.
Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen, Shi‐Qian Guo, Yu‐Chuan Chiu, Po‐Tsun Liu   +3 more
wiley   +1 more source

3D printing of hydrogels: a synergistic approach of rheology and computational fluid dynamics (CFD) modeling. [PDF]

RSC Adv
Ahmad S, Alam H, Thareja P.
europepmc   +1 more source

Enhancing Small Molecule Sensing With Aptameric Functionalized Nano Devices

Advanced Materials Technologies, EarlyView.
Unveiling an ultra‐sensitive, non‐invasive neurotransmitter sensor. For the first time, a nanoscale sensor for detecting an important neurotransmitter was demonstrated using micro‐electromechanical systems (MEMS) technology. Our approach utilized field‐effect transistor (FET)‐based readout to enable pico‐molar detection of biomarkers in sweat.
Thi Thanh Ha Nguyen, Cong Minh Nguyen, Quang Thang Trinh, Minh Anh Huynh, Khanh Vinh Ho, Dang Co Pham, Dzung Dao, Sven Ingebrandt, Sina Jamali, Xuan Thang Vu, Nam‐Trung Nguyen, Tuan‐Khoa Nguyen   +11 more
wiley   +1 more source

Modelling of the Soft Shell Technique Using Computational Fluid Dynamics. [PDF]

Clin Ophthalmol
Watanabe I, Mukuno H.
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Modeling Pharmaceutical Batch Cooling Crystallization Processes Using Computational Fluid Dynamics Coupled with a One-Dimensional Population Balance Model. [PDF]

Cryst Growth Des
M Camacho Corzo D, Rosette JAF, Rana AS, Ma CY, Roberts KJ, Mahmud T.   +5 more
europepmc   +1 more source

The Evolution of Laser‐Induced Damage Patterns in Polymer Stabilized Liquid Crystals: Insights From Morphological Characterization and Thermo‐Driven Simulations

Advanced Optical Materials, EarlyView.
A dual‐domain PSLC architecture enables direct comparison of alignment‐dependent laser damage within a single device. Crack‐like and seal‐like morphologies emerge under different damage conditions, and their evolution is interpreted through quantitative image analysis and heat‐driven simulations.
Dengcheng Chen, Zoey S. Davidson, Brian P. Radka, Selim Elhadj, Liang‐Chy Chien   +4 more
wiley   +1 more source

Correction: Hemodynamic predictors of rupture in abdominal aortic aneurysms: a case series using computational fluid dynamics. [PDF]

Front Cardiovasc Med
Moon K, Lee Y, Lee J, Son Y, Woo Y, Jang E, Yun S, Park S, Kim J.   +8 more
europepmc   +1 more source

Hemodynamic Study of Plaque Progression and Regression Based on Coronary CTA Imaging using Computational Fluid Dynamics Method: Preliminary Results. [PDF]

J Cardiovasc Transl Res
Lv S, Yang L, Jiang J, Liu X, Huang W, Mao J, Zhang J, Chen T, Tang L, Leng X, Mao W, Du C.   +11 more
europepmc   +1 more source

Subject-specific modeling framework for particle deposition using computational fluid dynamics. [PDF]

J Aerosol Sci
Bartol IR, Graffigna Palomba MS, Dawson RJ, Bolch WE, Tano ME, Dewji SA.   +5 more
europepmc   +1 more source