A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
From safer alternative to public health crisis: the unintended consequences of e-cigarettes. [PDF]
Ahmed SS +4 more
europepmc +1 more source
El bagazo como combustible industrial
Se realiza un estudio para utilizar el bagazo como combustible industrial. Se estudia la cantidad de bagazo en la caña de azúcar, almacenamiento, composición química, valor calorífico y combustión del bagazo.
Totoy Alvaro, Genaro
core
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
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 +1 more
wiley +1 more source
Porous Organic Cages for CO2 Capture and Confined Reduction
Porous organic cages (POCs) enable the coupling of CO2 capture and conversion through the interplay of molecular structure and solid‐state organization. Beyond intrinsic cavities, packing‐dependent pore accessibility and mass transport govern local CO2 concentration and catalytic performance, linking adsorption to reactivity in integrated capture ...
Valeria Amendola, Sonia La Cognata
wiley +2 more sources
Nicotine Risk Education and Its Impact on Knowledge, Perceptions, and Behavioral Intentions: A Scoping Review of U.S. Studies. [PDF]
Imran R, Patel A, Snell M.
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Entropy‐Stabilized Aluminate Catalysts That Break the Activity–Stability Tradeoff in CF4 Hydrolysis
Entropy‐stabilized aluminate breaks the activity–stability tradeoff in CF4 hydrolysis by combining a multication aluminate framework with an entropy‐stabilized lattice. An electron‐deficient Al–O environment is F‐philic but O‐phobic, enabling C–F activation while suppressing H2O poisoning. Under steam‐rich, strongly fluorinating conditions, the entropy‐
Seunghyuck Chi +7 more
wiley +2 more sources
Cessation outcomes and healthcare provider advice to quit among tobacco users: A cross-sectional analysis of the 2018-2019 Tobacco Control Policy (TCP) India survey. [PDF]
Kodali PB +6 more
europepmc +1 more source

