ArticleScience advances2022
Mechanism and performance relevance of nanomorphogenesis in polyamide films revealed by quantitative 3D imaging and machine learning.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Quantification of Nanovoids in Fully-Aromatic Thin-Film Composite Polyamide Membranes Using a Quartz Crystal Microbalance Equipped with a Humidity Cell.Environmental science & technology · 2026Article
- Three-dimensional and nanoscale resolved hierarchical structure of electroplated zinc complex in aqueous zinc battery.National science review · 2026Article
- In Situ Ptychographic X-ray Computed Tomography of Fully Hydrated Polyamide Membranes.Langmuir : the ACS journal of surfaces and colloids · 2026Article
- Thermal-intensified interfacial polymerization enables ultra-selective reverse osmosis membrane for toxic micropollutant removal.Nature communications · 2025Article
- Nodular networks in hydrated polyamide desalination membranes enhance water transport.Science advances · 2025Article
- Unravelling complex mechanisms in materials processes with cryogenic electron microscopy.Chemical science · 2025Review
- Beyond nothingness in the formation and functional relevance of voids in polymer films.Nature communications · 2024Article
- AI-enabled organoids: Construction, analysis, and application.Bioactive materials · 2024Review
- Water transport in reverse osmosis membranes is governed by pore flow, not a solution-diffusion mechanism.Science advances · 2023Article
- Method for 3D atomic structure determination of multi-element nanoparticles with graphene liquid-cell TEM.Scientific reports · 2023Article
- Prediction and Construction of Energetic Materials Based on Machine Learning Methods.Molecules (Basel, Switzerland) · 2022Review
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological morphogenesis has inspired many efficient strategies to diversify material structure and functionality using a fixed set of components. However, implementation of morphogenesis concepts to design soft nanomaterials is underexplored. Here, we study nanomorphogenesis in the form of the three-dimensional (3D) crumpling of polyamide membranes used for commercial molecular separation, through an unprecedented integration of electron tomography, reaction-diffusion theory, machine learning (ML), and liquid-phase atomic force microscopy. 3D tomograms show that the spatial arrangement of crumples scales with monomer concentrations in a form quantitatively consistent with a Turing instability. Membrane microenvironments quantified from the nanomorphologies of crumples are combined with the Spiegler-Kedem model to accurately predict methanol permeance. ML classifies vastly heterogeneous crumples into just four morphology groups, exhibiting distinct mechanical properties. Our work forges quantitative links between synthesis and performance in polymer thin films, which can be applicable to diverse soft nanomaterials.
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Registered trials
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