High-Accuracy Excited-State Reference Benchmark Dataset for Organic Semiconductors

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The BenchmarkSet1500 resource theme provides a dataset of multireference excited states for 1500 small organic semiconductors, alongside a Python-based workflow used to generate the associated high-level excited-state calculations. It is designed for researchers in organic electronics and data-driven chemistry who require reliable and reproducible excited-state data, as well as those developing machine learning models or screening pipelines. By combining standardised computational workflows with multi-level electronic structure methods (TD-DFT, CASSCF, NEVPT2), the resource theme enables reproducible data generation and delivers an AI-ready dataset suitable for structure-property analysis, direct quantum chemistry method comparison, and molecular design.

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Keywords and Subjects

PSDI-funding-call-FC1-2025
organic semiconductors
excited-state
multireference
time-dependent density functional theory
TD-DFT
complete active space self-consistent field
CASSCF
N-electron valence state second-order perturbation theory
NEVPT2
inverted singlet-triplet gap
INVEST
organic light-emitting diode
OLED
thermally activated delayed fluorescence
TADF
singlet-triplet gap