Results 241 to 250 of about 190,308 (299)

Machine Learning‐Driven Prediction and Optimization of Cu‐Based Catalysts for CO2 Hydrogenation to Methanol

open access: yesCarbon and Hydrogen, EarlyView.
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su   +11 more
wiley   +1 more source

Functionalized carbon nanoparticles for smartphone-based sensing of formaldehyde. [PDF]

open access: yesNanoscale Adv
Cavallaro A   +13 more
europepmc   +1 more source

Air Pollutants in Puerto Rico: Key Pollutants and Carcinogenic Properties. [PDF]

open access: yesInt J Environ Res Public Health
Kaya D   +6 more
europepmc   +1 more source

Electrostatically mediated phosphorescence enhancement of micro-nano composites. [PDF]

open access: yesNat Commun
Xu W   +7 more
europepmc   +1 more source

Emission of formaldehyde from indoor surface materials

open access: yes, 2009
Kolarik, Barbara   +2 more
openaire   +1 more source

Emission of formaldehyde from plywood

open access: yesEmission of formaldehyde from plywood
openaire  

Formaldehyde Emissions from Dry Low Emissions Industrial Gas Turbines

Volume 3B: Combustion, Fuels, and Emissions, 2022
Abstract Formaldehyde is listed as a Hazardous Air Pollutant (HAP) by various regulatory agencies around the world because of its role as a carcinogen. To address this impact, several countries have regulated formaldehyde emissions from land-based gas turbines. In the United States (U.S.), the federal regulatory level is 91 ppb and state
Ivan Carlos   +3 more
openaire   +1 more source

Home - About - Disclaimer - Privacy