Results 241 to 250 of about 3,278,052 (298)

Spatio-temporal transformer and graph convolutional networks based traffic flow prediction. [PDF]

Sci Rep
Zhang J, Yang Y, Wu X, Li S.
europepmc   +1 more source

Dynamic Reconstruction of Atomically Dispersed Copper Catalysts for CO2 Reduction: From In Situ Observations to Rational Design

EcoEnergy, EarlyView.
Dynamic reconstruction transforms atomically dispersed Cu catalysts into authentic working‐state active phases during CO2 electroreduction. By integrating operando characterization, multiscale simulations, and AI‐assisted predictive modeling, this review establishes a framework for understanding, predicting, and rationally engineering catalyst ...
Jin Liu, Yue‐Wen Fang
wiley   +1 more source

Predicting drug solubility in binary solvent mixtures using graph convolutional networks: a comprehensive deep learning approach. [PDF]

Sci Rep
Amiri M, Khaleseh F.
europepmc   +1 more source

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

ECG-GraphNet: Advanced arrhythmia classification based on graph convolutional networks. [PDF]

Heart Rhythm O2
Lee M, Lim J, Kim J.
europepmc   +1 more source

Machine Learning Unveils Isolated‐Surrounded Pt Motifs in High‐Entropy Alloys for Superior Low‐Temperature Ammonia Oxidation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A physics‐informed machine learning approach successfully decodes the complex catalytic activity of high‐entropy alloys for ammonia oxidation. By revealing a synergistic mechanism involving lattice and electronic couplings, the study identifies a superior “isolated‐surrounded” platinum motif.
Shangfeng Jiang, Ting Tao, Kexiang Guo, Xinyu Fan, Xu Zhang, Zhen Zhou   +5 more
wiley   +1 more source

Nanophotonic Biosensors and the Paradigm of Trans‐Scale Autonomous Bio‐Integrated Diagnostics for Addressing Health Complexities

Electron, EarlyView.
Physics‐driven advances in optical nanobiosensors for rapid, miniaturized, and point‐of‐care diagnostics for next‐generation decentralized and personalized healthcare based on sensor intelligence. ABSTRACT Public health emergencies and the escalating burden of chronic diseases necessitate a paradigm shift from centralized laboratory testing to rapid ...
Vishal Chaudhary, Harsh Sable, Sonu Sonu, Lakshita Phor, Reddicherla Umapathi, Pradeep Bhadola   +5 more
wiley   +1 more source

Emoji-Driven Sentiment Analysis for Social Bot Detection with Relational Graph Convolutional Networks. [PDF]

Sensors (Basel)
Zeng K, Li Z, Wang X.
europepmc   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

Dynamic graph convolutional networks with Temporal representation learning for traffic flow prediction. [PDF]

Sci Rep
Zhang A.
europepmc   +1 more source