2 papers
cs.LG2025
SAGE-Amine: Generative Amine Design with Multi-Property Optimization for Efficient CO2 Capture
Hocheol Lim, Hyein Cho, Jeonghoon Kim
Efficient CO2 capture is vital for mitigating climate change, with amine-based solvents being widely used due to their strong reactivity with CO2. However, optimizing key propertie…
quant-ph2025
Hybrid Quantum Neural Networks with Variational Quantum Regressor for Enhancing QSPR Modeling of CO2-Capturing Amine
Hyein Cho, Jeonghoon Kim, Hocheol Lim
Accurate amine property prediction is essential for optimizing CO2 capture efficiency in post-combustion processes. Quantum machine learning (QML) can enhance predictive modeling b…