ArticleNature communications2020
Autonomous discovery of optically active chiral inorganic perovskite nanocrystals through an intelligent cloud lab.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
What it found
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The trial behind it
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Who cites it
41 citing papers in PubMed.
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- Photonic biosensors based on nanoparticle superstructures: from data analysis to artificial intelligence (AI) detection.Fundamental research · 2026Review
- AP-Lab: An AI-Driven Autonomous Pilot-Scale Platform Bridging Materials Discovery and Industrial Manufacturing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Experimental mechanician for plate lattice metamaterial discovery.Nature communications · 2026Article
- Intrinsic Chiroptical Evolution in Perovskite Nanocrystals.The journal of physical chemistry letters · 2026Article
- Artificial Intelligence for Perovskite Additive Engineering: From Molecular Screening to Autonomous Discovery.Molecules (Basel, Switzerland) · 2026Review
- Algorithm-Guided Experimentation for Optimization of High-Performance Perovskite Solar Cells.ACS energy letters · 2025Article
- The Alchemist, the Scientist, and the Robot: Exploring the Potential of Human-AI Symbiosis in Self-Driving Polymer Laboratories.Macromolecular rapid communications · 2025Review
- Transforming microfluidics for single-cell analysis with robotics and artificial intelligence.Lab on a chip · 2025Review
- Optimized Machine Learning for Autonomous Enzymatic Reaction Intensification in a Self-Driving Lab.Biotechnology and bioengineering · 2025Article
- Learning from Metal Nanocrystal Heterogeneity: A Need for Information-Rich and High-Throughput Single-Nanocrystal Measurements.ACS nanoscience Au · 2025Review
- Autonomous 'self-driving' laboratories: a review of technology and policy implications.Royal Society open science · 2025Review
- Science acceleration and accessibility with self-driving labs.Nature communications · 2025Review
- Intelligent Systems for Inorganic Nanomaterial Synthesis.Nanomaterials (Basel, Switzerland) · 2025Review
- Autonomous platform for solution processing of electronic polymers.Nature communications · 2025Article
- Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties.Nature communications · 2025Article
- From Sunlight to Solutions: Closing the Loop on Halide Perovskites.ACS materials Au · 2025Review
- Reaction blueprints and logical control flow for parallelized chiral synthesis in the Chemputer.Nature communications · 2024Article
- Enhancing Lessons on the Internet of Things in Science, Technology, Engineering, and Medical Education with a Remote Lab.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We constructed an intelligent cloud lab that integrates lab automation with cloud servers and artificial intelligence (AI) to detect chirality in perovskites. Driven by the materials acceleration operating system in cloud (MAOSIC) platform, on-demand experimental design by remote users was enabled in this cloud lab. By employing artificial intelligence of things (AIoT) technology, synthesis, characterization, and parameter optimization can be autonomously achieved. Through the remote collaboration of researchers, optically active inorganic perovskite nanocrystals (IPNCs) were first synthesized with temperature-dependent circular dichroism (CD) and inversion control. The inter-structure (structural patterns) and intra-structure (screw dislocations) dual-pattern-induced mechanisms detected by MAOSIC were comprehensively investigated, and offline theoretical analysis revealed the thermodynamic mechanism inside the materials. This self-driving cloud lab enables efficient and reliable collaborations across the world, reduces the setup costs of in-house facilities, combines offline theoretic analysis, and is practical for accelerating the speed of material discovery.
Identifiers
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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.