DeePMO: An iterative deep learning framework for high-dimensional kinetic parameter optimization

Pengxiao Lin, Yuntian Zhou, Zhiwei Wang, Weizong Wang, Zheng Chen, Zhi-Qin John Xu, Tianhan Zhang

Abstract: Highlights•Boosting optimization performance by iterative sampling-learning-inference strategy.•A novel hybrid deep neural network handles both sequential and non-sequential data.•Extensive validation and ablation studies confirm method’s versatility and robustness.

External IDs:doi:10.1016/j.jaecs.2025.100402