Results 61 to 70 of about 126,268 (270)

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

Advanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang, Li Zhang, Nan‐Hai Li, Yan‐Ling Yang, Xiao‐Lei Shi, Zhi‐Gang Chen   +5 more
wiley   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Stacked Ensemble of Gradient Boosting Machine, Categorical Boosting,and Extreme Gradient Boosting for Enhanced Tuberculosis Diagnosis

IJACI : International Journal of Advanced Computing and Informatics
Tuberculosis (TB), a deadly infectious disease caused by Mycobacterium tuberculosis (MTB), remains one of the leading causes of death worldwide, particularly in low and middle-income countries. Despite over a century of eradication efforts, TB continues to pose a significant public health challenge.
Amir Hamzah Dinnillah, Muhammad Fuad Abdullah   +1 more
openaire   +1 more source

From Behavior to Dynamics: Decoding Carrier Roles in Cu‐based Photocathodes for Solar‐Driven CO2 Reduction

Advanced Materials, EarlyView.
The performance of Cu‐based photocathodes in photoelectrochemical CO2 reduction is not governed by catalytic sites alone, but by the dynamic journey of photogenerated carriers. This review decodes how carrier generation, recombination, transport, accumulation, extraction, and electrolyte coupling shape catalytic activity, selectivity, and stability ...
Yi‐Cheng Wang, Chenyu Xu, Peng‐Fei Sui, Yi Liu, Xiaolei Wang, Jing‐Li Luo   +5 more
wiley   +1 more source

Ambient Light‐Activatable Luminescent Particle‐Embedded Conformal Patch for Photochemical Tissue Bonding and Photobiomodulated Healing

Advanced Materials, EarlyView.
We report a wearable photonic patch integrating room light‐ and sunlight‐activatable luminescent particles (RSLPs) for both photochemical tissue bonding and photobiomodulation. RSLPs harvest ambient light and emit red luminescence to drive chlorin e6–mediated collagen crosslinking.
Kyungjoo Jo, Seong‐Jong Kim, Seung Oh Jung, Kyeongtaek Lee, Mungu Kim, Kwanghyeon Park, Yewon Seo, Boram Park, Dongchul Jo, Jongshin Kim, Jin Huh, Hyemin Kim, Sei Kwang Hahn   +12 more
wiley   +1 more source

Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment

Advanced Materials Interfaces, EarlyView.
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley   +1 more source

A Hybrid Computational Framework for PCF‐based SPR Sensor With Machine Learning and xAI

Advanced Materials Interfaces, EarlyView.
A photonic crystal fiber‐based surface plasmon resonance (SPR) sensor integrating rectangular air holes along with conventional circular air holes achieves exceptional wavelength sensitivity of 15,000 nm/RIU across a broad refractive index range of 1.31–1.39. Integrated machine learning with explainable AI (xAI) models achieves high prediction accuracy
Mahabur Rahman Fahim, Sudeep Paul, Musrat Jahan, Md Abu Shahid Chowdhury   +3 more
wiley   +1 more source

Enhanced Heart Attack Prediction Using eXtreme Gradient Boosting

Journal of Theory and Practice of Engineering Science
Heart attack prediction is a vital component of cardiovascular healthcare, aiming to identify individuals at risk for timely intervention and improved patient outcomes.
Mingyang Feng, Xiaosong Wang, Zhiming Zhao, Chufeng Jiang, Jize Xiong, Ning Zhang   +5 more
semanticscholar   +1 more source

Epileptic seizure detection using EEG signals and extreme gradient boosting

The Journal of Biomedical Research, 2020
The problem of automated seizure detection is treated using clinical electroencephalograms (EEG) and machine learning algorithms on the Temple University Hospital EEG Seizure Corpus (TUSZ). Performances on this complex data set are still not encountering expectations.
Paul Vanabelle, Pierre De Handschutter, El Tahry, Riëm, Mohammed Benjelloun, Mohamed Boukhebouze   +4 more
openaire   +3 more sources

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source