ReviewJournal of the American Chemical Society2025
Artificial Intelligence Paradigms for Next-Generation Metal-Organic Framework Research.
Review in Journal of the American Chemical Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Metal organic semiconducting structures for electronic band engineering and optoelectronic uses.iScience · 2026Review
- Rapid and Green Extraction of Food Contaminants: Integrating Advanced Porous Materials and Miniaturized Functional Platforms for Chromatographic and Mass Spectrometric Analysis.Comprehensive reviews in food science and food safety · 2026Review
- Carboxylate-Ligand-Based Coordination Polymers and Metal Complexes: From Structural Diversity and Supramolecular Descriptors to Function-Oriented Design.Molecules (Basel, Switzerland) · 2026Review
- Digital Reticular Chemistry: How Artificial Intelligence is Redefining Covalent Organic Framework Research.JACS Au · 2026Review
- Reprogramming Porosity: The Synthetic Evolution of Pore Engineering in Metal-Organic Frameworks.ACS materials letters · 2026Review
- Data Management and Analysis of Metal-Organic Framework Synthesis Using Data Models.Journal of chemical information and modeling · 2026Article
- Metal-Organic Framework Nanozymes: From Rational Design and Synthesis to Biomedical Applications.Nano-micro letters · 2026Review
- Artificial Intelligence at the Intersection of Chemistry and Materials Science.AI (Basel, Switzerland) · 2026Article
- Discovering metal-organic framework/polymer mixed-matrix membranes via machine learning for COCommunications materials · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
After the development of the famous "Transformer" network architecture and the meteoric rise of artificial intelligence (AI)-powered chatbots, large language models (LLMs) have become an indispensable part of our daily activities. In this rapidly evolving era, "all we need is attention" as Google's famous transformer paper's title [Vaswani et al.,
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.