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Predicting drug solubility in supercritical carbon dioxide green solvent using machine learning models based on thermodynamic properties

admin November 21, 2025

Bai, T., Kobayashi, K., Tamura, K., Jun, Y. & Zheng, L. Supercritical CO2 dyeing for nylon, acrylic, polyester, and casein...

Climate-adaptive energy forecasting in green buildings via attention-enhanced Seq2Seq transfer learning

admin September 2, 2025

Problem descriptionGreen building energy consumption prediction requires understanding the complex mathematical relationships between building systems, environmental conditions, and temporal dynamics....

Machine Learning Enhances Green Building Efficiency

admin September 18, 2024

By Nidhi DhullReviewed by Susha Cheriyedath, M.Sc.Sep 9 2024 A recent article published in Scientific Reports proposed integrating machine learning...

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Predicting drug solubility in supercritical carbon dioxide green solvent using machine learning models based on thermodynamic properties

Climate-adaptive energy forecasting in green buildings via attention-enhanced Seq2Seq transfer learning

Machine Learning Enhances Green Building Efficiency

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