Robotics & Machine Learning Daily News2024,Issue(Jan.22) :29-29.

Researchers from University of Texas Austin Detail New Studies and Findings in the Area of Machine Learning (Thermophysical Property Prediction of Anion-functionalized Ionic Liquids for Co2 Capture)

Robotics & Machine Learning Daily News2024,Issue(Jan.22) :29-29.

Researchers from University of Texas Austin Detail New Studies and Findings in the Area of Machine Learning (Thermophysical Property Prediction of Anion-functionalized Ionic Liquids for Co2 Capture)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating in Austin, Texas, by NewsRx journalists, research stated, “We develop amachine learning framework for predicting the density, viscosity, and heat capacity of a family of anionfunctionalizedionic liquids for CO2 capture, specifically those with tetraalkylphosphonium cations andaprotic N-heterocyclic anions (AHAs). We screen several feature sets using group contribution-based(GC) descriptors and descriptors extracted from COSMO-RS sigma profiles (SP) to build Support VectorRegression (SVR) and Gradient-Boosted Regression (GBR) machine learning models.”

Key words

Austin/Texas/United States/North and Central America/Cyborgs/Emerging Technologies/Ionic Liquids/Machine Learning/Solvents/University of Texas Austin

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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