Zincone ALD/MLD Hybrid Thin Film Structures Modeled with DFT

Density Functional Theory (DFT) modeled structures for zincone atomic/molecular layer deposition hybrid thin films. The dataset was created by Mario Mäkinen at Aalto University. The last update date is unknown.

Use Cases

• Predicting material properties based on DFT-modeled zincone structures.
• Training machine learning models for atomic layer deposition process optimization.
• Benchmarking computational methods for hybrid organic-inorganic material simulations.

Strengths

• Data is derived from first-principles Density Functional Theory calculations.
• Focuses on a specific and advanced material synthesis technique (ALD/MLD).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Mario Mäkinen, Aalto University

Collection Method

Computational modeling using Density Functional Theory (DFT).