This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Renewable Energy Literacy and Multidimensional Energy-Saving Behavior in Indonesia: The Roles of Personal Energy Values and Energy Attitudes. [PDF]
Budiman R +3 more
europepmc +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
From "Supplementing Points" to "Strengthening Network": The triple logic of new quality productivity empowering green and low-carbon manufacturing. [PDF]
Liang S, Jiang H, Wang P, Zhang M.
europepmc +1 more source
Drivers of sustainable practices in a developing country's garment and textile industry: The role of sustainability challenges, limited material access, and economic constraints. [PDF]
Safo-Ankama K +3 more
europepmc +1 more source
Social science for climate-resilient grasslands: Strategies to support individual and systemic adaptation. [PDF]
Gonzalez-Coffin S +3 more
europepmc +1 more source
Advancing the WEFE nexus: Expert insights on implementation and challenges. [PDF]
Mellios N +6 more
europepmc +1 more source
Human Rights First: Reflections from the Mobilization on Human Rights and Drug Policy Conference. [PDF]
Kankainen V, Tammi T.
europepmc +1 more source
Underrepresented transition factors from social sciences in energy and emissions modeling
Kunnas S, Trutnevyte E.
europepmc +1 more source

