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Deeper Insight into the Rational Design and Synthesis of Zeolites Revealed by Machine Learning: A Mini Review

DOI : 10.5614/j.eng.technol.sci.2025.57.4.4
St Mardiana (1), Arxhel S. F. Nanda (2), I Made Arcana (3), Ismunandar Ismunandar (4), Adroit T. N. Fajar (5), Grandprix T. M. Kadja (6)
(1) Division of Inorganic and Physical Chemistry, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesa no. 10, Bandung 40132, , Indonesia ,
(2) Division of Inorganic and Physical Chemistry, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesa no. 10, Bandung 40132, , Indonesia ,
(3) Division of Inorganic and Physical Chemistry, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesa no. 10, Bandung 40132, , Indonesia ,
(4) Division of Inorganic and Physical Chemistry, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesa no. 10, Bandung 40132, , Indonesia ,
(5) Center for Energy System Design (CESD), International Institute for Carbon-Neutral Energy Research (WPI-I2CNER, Kyushu University, 744 Motooka, Fukuoka 819-0395, Japan ,
(6) Research Center for Nanosciences and Nanotechnology, Institut Teknologi Bandung, Jalan Ganesa no. 10, Bandung 40132, Indonesia
475-491
Abstract : 1782
PDF : 234
DOI: https://doi.org/10.5614/j.eng.technol.sci.2025.57.4.4
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