Dataset Groups Activity Stream Functional Priors and Posteriors from Data and Physics The dataset used in this paper is a collection of historical data for learning functional priors and posteriors from data and physics. BibTex: @dataset{Xuhui_Meng_and_Liu_Yang_and_Zhiping_Ma_and_Jos´e_del_´Aguila_Ferrandisc_and_George_E_Karniadakis_2024, abstract = {The dataset used in this paper is a collection of historical data for learning functional priors and posteriors from data and physics.}, author = {Xuhui Meng and Liu Yang and Zhiping Ma and Jos´e del ´Aguila Ferrandisc and George E. Karniadakis}, doi = {10.57702/fibt9z3k}, institution = {No Organization}, keyword = {'Data and Physics', 'Functional Priors', 'Machine Learning', 'Physics-Informed Neural Networks', 'Posteriors'}, month = {dec}, publisher = {TIB}, title = {Functional Priors and Posteriors from Data and Physics}, url = {https://service.tib.eu/ldmservice/dataset/functional-priors-and-posteriors-from-data-and-physics}, year = {2024} }