Robotics & Machine Learning Daily News2024,Issue(Sep.6) :32-33.

ITMO University Details Findings in Photocatalytics (Optimization of G-c3n4 Synt hesis Parameters Based On Machine Learning To Predict the Efficiency of Photocat alytic Hydrogen Production)

Robotics & Machine Learning Daily News2024,Issue(Sep.6) :32-33.

ITMO University Details Findings in Photocatalytics (Optimization of G-c3n4 Synt hesis Parameters Based On Machine Learning To Predict the Efficiency of Photocat alytic Hydrogen Production)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; Investigators publish new report on Nanotechnolog y - Photocatalytics. According to news reportingout of St. Petersburg, Russia, by NewsRx editors, research stated, “This study demonstrated a machinelearning approach to predict the photocatalytic properties of graphitic carbon nitride (g -C3N4) 3 N 4 )depending on its synthesis parameters to enhance photocatalytic h ydrogen production. In connection withthe task, a database was experimentally f ormed to prepare g-C3N4 3 N 4 samples by heat treatment ofnitrogen-containing p recursors in air at a temperature of 450-600 degrees C with varying time and heating rates of the synthesis.”

Key words

St. Petersburg/Russia/Cyborgs/Element s/Emerging Technologies/Gases/Hydrogen/Inorganic Chemicals/Machine Learning/Nanotechnology/Photocatalyst/Photocatalytics/ITMO University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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