Nanoparticle Monolayer Self-Assembly via Aerosol Deposition
by Yu, Edward / Texas Data Repository Harvested Dataverse·Updated 7mo ago
Available on 1 platform
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Description
A dataset from Texas Data Repository Harvested Dataverse presents a novel aerosol-assisted deposition technique for self-assembling nano and microparticle monolayers. The method achieves a monolayer self-assembly rate of 268 cm² min⁻¹ from a single source, representing a 93× increase over prior methods. The dataset, authored by Edward Yu and last updated in October 2025, includes insights into the physical mechanism and fabrication of ordered arrays from particles of various sizes, materials, and surface functionalities.
Use Cases
Benchmarking monolayer fabrication speed based on the reported 268 cm² min⁻¹ rate.
Modeling the physical self-assembly mechanism described in the dataset.
Comparing particle monolayer ordering across different sizes and materials mentioned in the description.
Evaluating cost-effectiveness for submicron manufacturing based on the described low-cost potential.
Strengths
Describes a specific, high-rate fabrication process achieving 268 cm² min⁻¹.
Documents a 93× performance improvement over the state of the art.
Covers particles with varied size, material, and surface functionality.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count and file formats are unknown, which may limit suitability assessment.