Results 231 to 240 of about 2,291,078 (312)

Rapid prediction of MRI-induced RF heating of active implantable medical devices using machine learning [PDF]

, 2023
Jasmine Vu, Pia Sanpitak, Bhumi Bhusal, Fuchang Jiang, Laleh Golestanirad   +4 more
openalex   +1 more source

Laser‐Induced Graphene‐Assisted Patterning and Transfer of Silver Nanowires for Ultra‐Conformal Breathable Epidermal Electrodes in Long‐Term Electrophysiological Monitoring

Advanced Functional Materials, EarlyView.
This study presents a novel method using laser‐induced graphene (LIG) to enable high‐yield transfer of silver nanowire (AgNW) networks onto ultra‐low modulus, breathable silicone substrates. This approach creates ultra‐conformal epidermal electrodes (≈50 µm) for long‐term, high‐fidelity electrophysiological monitoring, even in challenging conditions ...
Jiuqiang Li, Senhao Zhang, Jun Zhong, Benkun Bao, Kai Guo, Yingying Zhang, Kerong Yang, Yao Tong, Donghai Qiu, Hongbo Yang, Huanyu Cheng   +10 more
wiley   +1 more source

Accelerated Discovery of High‐Performance PCFC Cathodes: Computational‐Experimental Optimization of Cobalt‐Substituted Ba0.95La0.05FeO3‐δ

Advanced Functional Materials, EarlyView.
An integrated computational–experimental strategy accelerates the discovery of high‐performance PCFC cathodes. Computational screening using machine learning interatomic potentials and targeted experiments identifies optimal cobalt substitution in Ba0.95La0.05FeO3‐δ, reducing area‐specific resistance by 58% at 500 °C.
Abdullah Tahir, Yuhao Wang, Jingwei Li, Yunfeng Tian, Francesco Ciucci   +4 more
wiley   +1 more source

Active flow control using machine learning: A brief review

Journal of Hydrodynamics, 2020
Feng Ren, Hai-bao Hu, Hui Tang
semanticscholar   +1 more source

Quantum Dots and Perovskites‐Based Physically Unclonable Functions for Binary and Ternary Keys via Optical‐to‐Electrical Conversion

Advanced Functional Materials, EarlyView.
This study investigates optoelectronic PUFs that improve on traditional optical and electrical PUFs. The absorber materials are randomly coated through spray coating, ligand exchange, and dynamic spin coating. Incident light generates wavelength‐dependent binary multikey and enhances security ternary keys, approaching near‐ideal inter‐ and intra ...
Hanseok Seo, Taesung Park, Awais Ali, Byung Ku Jung, Young Kyun Choi, Junhyeok Park, Soong Ju Oh   +6 more
wiley   +1 more source

Bioengineering Strategies for Treating Neointimal Hyperplasia in Peripheral Vasculature: Innovations and Challenges

Advanced Healthcare Materials, Volume 14, Issue 7, March 14, 2025.
This review highlights emerging bioengineering strategies for treating neointimal hyperplasia in the peripheral vasculature, focusing on approaches that promote re‐endothelialization, modulate smooth muscle cell phenotype, reduce inflammation, mitigate oxidative stress, and optimize biomechanical compliance.
Nikita Wilson John, Caitlyn Dang, Nidhi Reddy, Calvin Chao, Karen J. Ho, Bin Jiang   +5 more
wiley   +1 more source

A machine learning algorithm for reliably predicting active galactic nucleus absorbing column densities

, 2023
R. Silver, N. Torres-Albà, X. Zhao, Stefano Marchesi, A. Pizzetti, I. Cox, M. Ajello   +6 more
openalex   +1 more source

Gasotransmitters in Modern Medicine: Promises and Challenges in the Use of Porous Crystalline Carriers

Advanced Healthcare Materials, EarlyView.
This perspective provides an overview of the growing interest in utilizing various gasotransmitters—small gaseous signaling molecules namely nitric oxide (NO), carbon monoxide (CO), and hydrogen sulfide (H2S)—for several therapeutic applications, with emphasis on the potential use of porous materials as carriers to provide safe and controlled local ...
Rosana V. Pinto, Moisés L. Pinto, Christian Serre   +2 more
wiley   +1 more source

Morphometric‐Assisted Prediction of Developmental Toxicity Using Stem Cell‐Based Embryo Models in Microwells

Advanced Healthcare Materials, EarlyView.
This proof‐of‐concept study involves high‐throughput teratogenicity screening of compounds using XEn/EpiCs, a 3D stem cell‐based embryo model, within microwells. The term ‘morphotoxicity’ is introduced to complement traditional cytotoxicity assays through automated feature extraction and machine‐learning‐assisted classification of morphologies.
Vinidhra Shankar, Athanasia Zoi Pappa, Clemens van Blitterswijk, Erik Vrij, Stefan Giselbrecht   +4 more
wiley   +1 more source

GPCRLigNet: rapid screening for GPCR active ligands using machine learning

, 2023
Jacob M. Remington, Kyle T. McKay, Noah B Beckage, Jonathon B. Ferrell, Severin T. Schneebeli, Jianing Li   +5 more
openalex   +2 more sources