Application of novel computational techniques for the determination of the gravitational form factors

I will discuss our current efforts to extract proton gravitational form factors (GFFs) from experimental data, with a primary focus on deep virtual Compton scattering (DVCS) utilizing the new data obtained from the 12 GeV upgrade at Jefferson Lab. Our methodology employs advanced computational techniques, including neural networks (NN), to enhance data fitting and analysis. Additionally, we are in the process of developing a new open database of comprehensive Generalized Parton Distributions (GPDs) related data, which will be available to the broader scientific community. Additionally, we plan to incorporate theoretical insights from lattice QCD (LQCD) to strengthen our framework for interpreting DVCS data and to evaluate the impact of simulated pseudodata on GFF extraction. This introductory talk will outline our methodology and objectives as we work to advance our understanding of the proton's gravitational properties and internal structure.