ArticleNature communications2025
A chemical autonomous robotic platform for end-to-end synthesis of nanoparticles.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Surface Ligands in Nanocrystal Electrocatalysis: A Double-Edged Sword.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Glucose-Responsive Nanomedicine in Diabetes Therapy: Emerging Advances and Clinical Prospects.Journal of functional biomaterials · 2026Review
- Tantalum-Based Nanomaterials: From Properties to Biomedical Applications.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Validated workflows for preparing and characterizing core-stained and surface-labeled fluorescent polymer particles with simple commercial automation tools.Analytical and bioanalytical chemistry · 2026Article
- Linking Synthetic Materials Chemistry to Electrocatalytic Performance.Angewandte Chemie (International ed. in English) · 2026Review
- Data-Driven Engineering of Antimicrobial Nanomaterials for Food Safety and Biomedical Systems.Nanomaterials (Basel, Switzerland) · 2026Review
- Artificial intelligence empowered biomaterials for cancer therapy: From rational design to clinical translation.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026Article
- Foehn: An open-hardware asynchronous scheduling hub for high-throughput liquid-handling workflow.HardwareX · 2026Article
- Metalloprotein-Based Nanomedicines: Design Strategies, Functional Mechanisms, and Biomedical Applications.International journal of molecular sciences · 2026Review
- A Perspective intoThe journal of physical chemistry letters · 2026Review
- Nanotechnology-Assisted Molecular Profiling: Emerging Advances in Circulating Tumor DNA Detection.International journal of nanomedicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional nanomaterial development faces inefficiency and unstable results due to labor-intensive trial-and-error methods. To overcome these challenges, we developed a data-driven automated platform integrating artificial intelligence (AI) decision modules with automated experiments. Specifically, the platform employs a Generative Pre-trained Transformer (GPT) model to retrieve methods/parameters and implements an A* algorithm centered closed-loop optimization process. It achieves optimized diverse nanomaterials (Au, Ag, Cu
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.