PSDI_Benchmark_Set_1500 Code Github Repository

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This resource provides a reproducible computational workflow for generating excited-state data for organic semiconductors, from initial molecular geometries to final compiled excited-state descriptors. It can be used for large-scale high-throughput screening, materials discovery, and machine learning. The workflow automates Gaussian input generation for ground state geometry optimisation and submission, error detection and resubmission for common calculation failures, conversion of completed jobs into ORCA-ready inputs for excited state calculations, and final extraction of key molecular and excited-state properties into a single CSV output.

Creators

Tahereh Nematiaram & Malin Zollner

Publisher

PSDI

Access

Open Access

License

CC-BY-4.0

Contact

https://github.com/OrganicAI-Lab/PSDI_Benchmark_Set_1500/issues

Citation

The preferred general citation is: Malin Zollner, Tahereh Nematiaram; A multireference excited state database for correlation-aware screening of organic semiconductors in excitonic energy-materials discovery. J. Mater. Chem. A 2026; https://doi.org/10.1039/d6ta04292a

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