Results 151 to 160 of about 26,611 (260)

Experimental validation of metaheuristic-optimized control for standalone DFIG dynamic performance enhancement. [PDF]

Sci Rep
Soued S, Boureguig K, Chabani MS, Himair Swhli KM.   +3 more
europepmc   +1 more source

Design Principles of Electrocatalysts for Industrial‐Scale Water Electrolysis

Advanced Energy Materials, EarlyView.
This Review distills electrocatalyst design for industrial‐scale water electrolysis into integrated principles linking active‐site engineering, phase and lattice modulation, interfacial microenvironment regulation and mass‐transport control. By connecting catalyst families with HER/OER mechanisms and practical operating demands, it outlines pathways ...
Hong Tang, Cui Ce, John Wang
wiley   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Correction: Dementia as a predictor of palliative care: uncovering patient patterns based on German claims data. [PDF]

BMC Palliat Care
Rakuša E, Reinke C, Doblhammer G, Radbruch L, Schmid M, Welchowski T.   +5 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Severe adverse clinical impacts are predicted by an early high positive fluid balance in patients with severe acute pancreatitis. [PDF]

Sci Rep
Zhong M, Chen WJ, Huang SW, Xu D, Qu HP, Mao EQ, Yang ZT, Chen EZ, Chen Y.   +8 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Diffusion-augmented YOLO26-Swin cascaded framework with hybrid SHAP-CAM for autonomous power grid inspection. [PDF]

Auton Intell Syst
Stefenon SF, Matos-Carvalho JP, Mariani VC, Dos Santos Coelho L, Yow KC.   +4 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

SCOT+: a comprehensive software suite for single-cell alignment using optimal transport. [PDF]

Bioinform Adv
Baker C, Pham T, Demetci P, Tran QH, Redko I, Sandstede B, Singh R.   +6 more
europepmc   +1 more source