Graph neural networks reshape electrocatalyst design for green hydrogen
A new review details how graph neural networks are accelerating the discovery of electrocatalysts for green hydrogen production by learning ...
A new review details how graph neural networks are accelerating the discovery of electrocatalysts for green hydrogen production by learning ...
A new study combines Random Forest prediction, linear programming optimization and blockchain transaction recording to balance supply chain costs and ...
A maximum entropy inverse reinforcement learning model trained on two weeks of anonymous Wi-Fi probe data at Southeast University's Wuxi ...
A newly published protocol outlines how a systematic review will assess Raman spectroscopy as a real-time, label-free diagnostic tool for ...
Machine learning models trained on hydrochemical data from nineteen stations in Odisha's Mahanadi River Basin indicate that most sampled surface ...
A new editorial collection documents how artificial intelligence is reshaping particle accelerator science, from surrogate models already in practical use ...
A new computational framework called TopoBoW combines topological data analysis with visual word encoding to distinguish healthy from pathological mouse ...
The 58th issue of Financial Innovation gathers 26 papers spanning AI-driven financial innovation, green and sustainable finance, cryptocurrency and blockchain, ...
A new study proposes a closed-loop AI framework that couples adaptive anomaly detection, probabilistic risk scoring, machine-learning measurement selection, game-theoretic ...
A new graph neural network method called MADPGraph combines relation-aware multi-head attention with adaptive dynamic pruning to improve link prediction ...
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© 2025 Scienmag - Science Magazine