Considering that the functional layers of functional material devices primarily exist in film states, we construct the first DFT-accuracy database (detailed in the methods section) comprising 1.8 OCNet transfer integrals across 5,500 distinct molecular types. We construct the domain features by integrating structural features: the distance between centroids, the angle between plane normal vectors, and the angle between plane normal vectors and the centroid connection vector, and TB-level electronic properties. These electronic properties include overlap integrals, transfer integrals, effective integrals for the HOMO or LUMO orbital, and total effective transfer integrals for all occupied or unoccupied molecular orbitals. Subsequently, we utilize the domain feature-integrated OCNet to predict the transfer inte-grals database in film environments. As no other models have yet reported similar results, the accuracy score of OCNet is set to 1 (Figure ). We further evaluate the correlation between OCNet predictions and corresponding QM values for H-H and L-L transfer integrals(Figure ). OCNet demonstrates high accuracy, achieving R 2 values of 0.844 and 0.872 and MAEs of 0.2 eV and 0.204 eV for H-H and L-L transfer integrals, respectively. This marks the first successful realization of a general model for transfer integral prediction in film environments. The accuracy of this general model is comparable to that of reported SOTA models for predicting transfer integrals in crystalline environments, making it suitable for subsequent calculations of molecular mobility in film environments.