Photoluminescent Cu(I) HETPHEN Complexes with Seven Ligand Variants

A 2026 study by Michael C. Rosko details a series of seven heteroleptic Cu(I) diimine chromophores. The dataset contains computational and spectroscopic data for these complexes, which exhibit metal-to-ligand charge transfer (MLCT) lifetimes from 62 to 443 ns and energetic separations (ΔE) of 713–1009 cm⁻¹ between excited states. It models systematic variations in electronic transition intensities and spectral profiles using TD-DFT calculations.

Use Cases

• Analyze the correlation between ligand substitution patterns and MLCT lifetimes ranging from 62 to 443 ns.
• Model the systematic variation in electronic transition intensities and UV–vis absorption bands using TD-DFT calculation data.
• Investigate the relationship between energetic separations (ΔE = 713–1009 cm⁻¹) of excited manifolds and thermally activated delayed fluorescence (TADF) properties.
• Extract and compare time constants for pseudo-Jahn–Teller distortion and intersystem crossing from transient absorption spectroscopy data.
• Evaluate triplet photosensitization properties in model photochemical transformations for the series of seven distinct phenanthrolines.

Strengths

• Data is derived from a systematic study of seven distinct, newly conceived ligand variants, enabling comparative analysis.
• Includes precise quantitative measurements such as MLCT lifetimes (62-443 ns) and energetic separations ΔE (713–1009 cm⁻¹).
• Combines experimental spectroscopic data with detailed TD-DFT computational modeling of electronic transitions.

Limitations

• The dataset is very small in scale (8.3 KB), indicating it contains summary or representative data rather than extensive raw measurements.
• The specific data format (XYZ) and structure are not described, which may require specialized tools or knowledge for interpretation.
• Focus is limited to a specific, novel class of seven Cu(I) HETPHEN complexes, limiting generalizability to other chromophore systems.

Provenance

Source

figshare, authored by Michael C. Rosko.

Collection Method

Experimental synthesis and characterization combined with computational TD-DFT modeling.

Time Range

Study published in 2026.

Freshness

Last updated on 2026-03-25.