tag:joss.theoj.org,2005:/papers/by/Marco%20Di%20GiovanniJournal of Open Source Software2020-02-19T20:49:33ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/13152020-02-19T20:49:33Z2021-02-15T11:31:25ZNeuroDiffEq: A Python package for solving differential equations with neural networksaccepted1.0.02019-11-01 13:35:55 UTC462020-02-19 20:49:33 UTC520201931FeiyuChenInstitute for Applied Computational Science, Harvard University, Cambridge, MA, United States0000-0002-0476-9998DavidSondakInstitute for Applied Computational Science, Harvard University, Cambridge, MA, United StatesPavlosProtopapasInstitute for Applied Computational Science, Harvard University, Cambridge, MA, United StatesMariosMattheakisInstitute for Applied Computational Science, Harvard University, Cambridge, MA, United StatesShuhengLiuChongqing University, Chongqing, ChinaDevanshAgarwalDepartment of Physics and Astronomy, Virginia University, Morgantown, WV, United States, Center for Gravitational Waves and Cosmology, West Virginia University, Morgantown, WV, United StatesMarcoDi GiovanniPolitecnico di Milano, Milano, Italy10.21105/joss.01931https://doi.org/10.5281/zenodo.3676028Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01931.pdfdifferential equations, neural networks