ArticleNature communications2025
Autonomous platform for solution processing of electronic polymers.
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 16 papers.
What it found
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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.
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Who cites it
16 citing papers in PubMed.
- Orchestrating agentic systems at ALS beamline 5.3.1 with Osprey and Bluesky.Journal of synchrotron radiation · 2026Article
- Interpretable self-driving sputtering epitaxy reveals human-usable growth rules for β-GaNature communications · 2026Article
- Self-evolving experimental platform for 3D sand printing.National science review · 2026Article
- Automated Identification of Thermal Transitions in Conjugated Material Thin Films Using In Situ Optical Spectroscopy.Small methods · 2026Article
- A Robotic High-Throughput Grid-Search Platform for Mapping Phase Behavior in Triblock Copolymer-Homopolymer Blends.ACS nano · 2026Article
- Self-driving lab for the data-driven design of single-chain polymer nanoparticles.Cell press blue · 2026Article
- Accelerated Emergence of Self-Driving Laboratories for Accelerating Materials Discovery.ACS central science · 2026Review
- From Prompt to Drug: Toward Pharmaceutical Superintelligence.ACS central science · 2026Review
- Synergizing Chemical and AI Communities for Advancing Laboratories of the Future.ACS central science · 2026Review
- Cracking the code of multi-layer films to promote circularity in single-use plastic packaging.Nature communications · 2026Review
- Review
- Artificial Intelligence Informed Hydrogel Biomaterials in Additive Manufacturing.Gels (Basel, Switzerland) · 2025Review
- Nanostructured Thin Films: Properties, Fabrication and Applications-A Short Review.Nanomaterials (Basel, Switzerland) · 2025Review
- Optimization of robotic liquid handling as a capacitated vehicle routing problem.Digital discovery · 2025Article
- Functionalized separator strategies accelerate the development of zinc-ion batteries.iScience · 2025Review
- Closing the loop: Teaching single-cell foundation models to learn from perturbations.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
The manipulation of electronic polymers' solid-state properties through processing is crucial in electronics and energy research. Yet, efficiently processing electronic polymer solutions into thin films with specific properties remains a formidable challenge. We introduce Polybot, an artificial intelligence (AI) driven automated material laboratory designed to autonomously explore processing pathways for achieving high-conductivity, low-defect electronic polymers films. Leveraging importance-guided Bayesian optimization, Polybot efficiently navigates a complex 7-dimensional processing space. In particular, the automated workflow and algorithms effectively explore the search space, mitigate biases, employ statistical methods to ensure data repeatability, and concurrently optimize multiple objectives with precision. The experimental campaign yields scale-up fabrication recipes, producing transparent conductive thin films with averaged conductivity exceeding 4500 S/cm. Feature importance analysis and morphological characterizations reveal key design factors. This work signifies a significant step towards transforming the manufacturing of electronic polymers, highlighting the potential of AI-driven automation in material science.
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.