Physics-informed neural networks with hard linear equality constraints. - Hao Chen; Gonzalo E. Constante-Flores; Can Li 010 (Comput. Chem. Eng., 2024)

Diagnosing infeasible optimization problems using large language models. - Hao Chen; Gonzalo E. Constante-Flores; Can Li 010 (INFOR Inf. Syst. Oper. Res., 2024)

AC-Network-Informed DC Optimal Power Flow for Electricity Markets. - Gonzalo E. Constante-Flores; André H. Quisaguano; Antonio J. Conejo; Can Li 010 (HICSS, 2025)

FaultExplainer: Leveraging large language models for interpretable fault detection and diagnosis. - Abdullah Khan; Rahul Nahar; Hao Chen; Gonzalo E. Constante-Flores; Can Li 010 (Comput. Chem. Eng., 2025)

Conformalized prediction of post-fault voltage trajectories using pre-trained and finetuned attention-driven neural operators. - Amirhossein Mollaali; Gabriel Zufferey; Gonzalo Constante-Flores; Christian Moya; Can Li 010; Meng Yue; Guang Lin 001 (Neural Networks, 2025)

Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules. - Gonzalo E. Constante-Flores; Hao Chen; Can Li 010 (CoRR, 2025)