ArticleNature materials2024
Investigating chiral morphogenesis of gold using generative cellular automata.
Article in Nature materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A First-Principles Study of l‑Glutathione Adsorption on Chiral Gold Nanoparticles.ACS materials Au · 2026Article
- Multimodal deep-learning optimization of chiroptical properties in all-inorganic perovskite-coated TiONature communications · 2026Article
- Chiroptical Control of Gold Nanoparticle Growth through Combination of a Multimodal Chirality Inducer and Surfactant Counterion.ACS nano · 2025Article
- Concavity-enhanced chiral self-assembly of anisotropic nanoparticles toward strong chiroptical activity.Nature communications · 2025Article
- Synthesis of chiral gold helicoid nanoparticles using glutathione.Nature protocols · 2025Review
- Chiral plasmonic nanostructures fabricated with circularly polarized light.Beilstein journal of nanotechnology · 2025Review
- Unraveling the Growth Mechanism of Chiral Inorganic Nanocrystals via High-Resolution Electron Microscopy.Journal of the American Chemical Society · 2024Article
- Controllable Synthesis of Three-Dimensional Chiral Au Nanoflowers Induced by Cysteine with Excellent Biocompatible Properties.Nanomaterials (Basel, Switzerland) · 2024Article
- Etch A Sketch-like liquid-crystal phase patterning.Nature materials · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Homochirality is an important feature in biological systems and occurs even in inorganic nanoparticles. However, the mechanism of chirality formation and the key steps during growth are not fully understood. Here we identify two distinguishable pathways from achiral to chiral morphologies in gold nanoparticles by training an artificial neural network of cellular automata according to experimental results. We find that the chirality is initially determined by the nature of the asymmetric growth along the boundaries of enantiomeric high-index planes. The deep learning-based interpretation of chiral morphogenesis provides a theoretical understanding but also allows us to predict an unprecedented crossover pathway and the resulting morphology.
Identifiers
38693448What 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.