【IMPORTANT】T2R2 and STAR Search: Service Discontinuation and Successor Systems

Journal Paper

• Md. Rubel, AVIAN CRIES, M.M. Harussani, Eric Kolor, Sasipa Boonyubol, Koichi Mikami, Muhammad Aziz, Jeffrey S. Cross. Bayesian optimized automated ensemble machine learning for predicting biodiesel yield from waste cooking oil: A SHAP interpretability approach, Chemical Engineering Research and Design, Elsevier, Vol. 230, Page 985-999, May 2026.
• Eric Kolor, Edoardo Magnone, Muhammad Harussani Moklis, Md. Rubel, Sasipa Boonyubol, Koichi Mikami, Jeffrey S. Cross. Hydrogen permeability prediction in palladium alloys and virtual screening of B2 phase-stabilized Pd(100-x-y)CuxMy ternary alloys using machine learning, Materials Today Communications, Elsevier, vol. 51, Page 114875, Feb. 2026.
• Md. Rubel, Cheng Shuo, Sasipa Boonyubol, M.M. Harussani, Surendra Singh Kachhwaha, Jeffrey S. Cross. Optimization of a two-step biodiesel production from waste cooking oil: Comparative evaluation of n-hexane and CPME as transesterification cosolvents, Chemical Engineering Research and Design, Elsevier, Vol. 226, Page 282-295, Jan. 2026.

Book

• Muhammad Harussani Moklis, Cries Avian, Eric Kolor, Md. Rubel, Jeffrey S. Cross. Review on Recent Development of Artificial Intelligence and Machine Learning Approaches in Energy Applications, Advancemets in Smart Energy Systems, Springer, Mar. 2026.

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