Algorithmic iterative reticular synthesis of zeolitic imidazolate framework crystals

Abstract The discovery of crystalline reticular materials remains largely trial-and-error despite their societal importance. We introduce our algorithmic iterative reticular synthesis (AIRES) cycle, which integrates automated synthesis, image recognition, single-crystal X-ray diffraction and, crucially, customized algorithmic decision-making, to maximize distinct crystal discoveries rather than optimizing single targets. Demonstrated on zeolitic imidazolate frameworks (ZIFs), AIRES achieves twice the discovery rate of random exploration, crystallizing 10 new linkers into diverse ZIF topologies and expanding the single-linker Zn-ZIF library by one-third. By transforming reticular synthesis from an empirical process to a systematic exploration, AIRES provides a scalable and efficient blueprint for accelerating materials discovery.

Authors

Institutions

Publication Details

Journal
Nature Synthesis
Published
2025-11-25
DOI
https://doi.org/10.1038/s44160-025-00939-9
Citations
1
Primary Topic
Metal-Organic Frameworks: Synthesis and Applications
Type
article
Field-Weighted Citation Impact
0.54

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Algorithmic iterative reticular synthesis of zeolitic imidazolate framework crystals

Christian Borgs, Thi Viet Bac Phung, Jennifer Chayes, Saumil Chheda et al.
1 citations
Nature Synthesis
Metal-Organic Frameworks: Synthesis and Applications
0.54
article

Algorithmic iterative reticular synthesis of zeolitic imidazolate framework crystals

Christian Borgs, Thi Viet Bac Phung, Jennifer Chayes, Saumil Chheda, Omar M. Yaghi, Phuc Luong, Mario Boley, Hieu H. Pham, Laurent El Ghaoui, Théo Jaffrelot Inizan, Dung D. Le, Joachim Sauer, Zichao Rong, Zhiling Zheng, Tùng Nguyen-Dang, Zihao Chen, Abdullah A. Alghamdi, H. T. Nhan Luong, Kevin Greco, K. Huyen Bui
article en
1 citations

Abstract

Abstract The discovery of crystalline reticular materials remains largely trial-and-error despite their societal importance. We introduce our algorithmic iterative reticular synthesis (AIRES) cycle, which integrates automated synthesis, image recognition, single-crystal X-ray diffraction and, crucially, customized algorithmic decision-making, to maximize distinct crystal discoveries rather than optimizing single targets. Demonstrated on zeolitic imidazolate frameworks (ZIFs), AIRES achieves twice the discovery rate of random exploration, crystallizing 10 new linkers into diverse ZIF topologies and expanding the single-linker Zn-ZIF library by one-third. By transforming reticular synthesis from an empirical process to a systematic exploration, AIRES provides a scalable and efficient blueprint for accelerating materials discovery.

Nature SynthesisVol. 5(3)
Center for Information Technology Research in the Interest of Society (US), Humboldt-Universität zu Berlin (DE), Kavli Energy NanoScience Institute (US), VinUniversity (VN), Monash University (AU), University of Haifa (IL), University of California, Berkeley (US)
U.S. Department of Energy, King Abdulaziz City for Science and Technology, National Institutes of Health, Office of Science, Lawrence Berkeley National Laboratory
Openalex Percentile: Top 28%
Metal-Organic Frameworks: Synthesis and Applications
0.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.