Data-Driven Search Algorithm for Discovery of Synthesizable Zeolitic Imidazolate Frameworks

Zeolitic imidazolate frameworks (ZIFs), metal–organic analogues of zeolites, hold great potential for carbon-neutral applications due to their exceptional stability and porosity. However, ZIF discovery has been hindered by the limited topologies resulting from a mismatch between numerous predicted a...

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المؤلف الرئيسي:	Soochan Lee (4912054) (author)
مؤلفون آخرون:	Hyein Jeong (4591042) (author), Sungyeop Jung (2811829) (author), Yeongjin Kim (10878837) (author), Eunchan Cho (18055708) (author), Joohan Nam (10878840) (author), D. ChangMo Yang (20844662) (author), Dong Yun Shin (706192) (author), Jung-Hoon Lee (770126) (author), Hyunchul Oh (1467694) (author), Wonyoung Choe (2166163) (author)
منشور في:	2025
الموضوعات:	Biophysics Medicine Pharmacology Inorganic Chemistry Hematology Space Science Astronomical and Space Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified two novel topologies synthesized zeolitic networks neutral applications due limited topologies resulting energy calculations facilitated driven search algorithm combining structural predictions hold great potential advance material discovery 2 </ sub uft </ synergistic potential 2 ). zif discovery vertex symbols successful synthesis study highlights selective adsorption screening tool numerous predicted known materials exceptional stability chemical intuition angle differences 33 (< 31 (<
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Data-Driven Search Algorithm for Discovery of Synthesizable Zeolitic Imidazolate Frameworks

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