JOSS Papers: differentiable physics

All Papers
4031
 Published Papers
3595
 Active Papers
435
published Published 3 months ago

evoxels: A differentiable physics framework for voxel-based microstructure simulations

Python
@daubners
10.21105/joss.09733
published Published 10 months ago

SDA: a symbolic differential algebra package in C++

C++ C
@zhanghe9704
10.21105/joss.08330
published Published about 1 year ago

DIFFICE-jax: Differentiable neural-network solver for data assimilation of ice shelves in JAX

Python MATLAB Jupyter Notebook
@wangyji
10.21105/joss.07254
published Published almost 2 years ago

FastVPINNs: An efficient tensor-based Python library for solving partial differential equations using hp-Variational Physics Informed Neural Networks

Python
@thivinanandh
10.21105/joss.06764
published Published over 2 years ago

cppTPSA/pyTPSA: a C++/Python package for truncated power series algebra

C++ Python
@zhanghe9704
10.21105/joss.04818
published Published over 2 years ago

DPFEHM: a differentiable subsurface physics simulator

Julia
@omalled
10.21105/joss.04560
published Published almost 3 years ago

Physics-Informed Neural networks for Advanced modeling

Python
@ndem0
10.21105/joss.05352
published Published over 5 years ago

pyhf: pure-Python implementation of HistFactory statistical models

Python
@matthewfeickert
10.21105/joss.02823
published Published over 7 years ago

pyro: a framework for hydrodynamics explorations and prototyping

Python Logos Yacc Jupyter Notebook
@harpolea
10.21105/joss.01265
published Published about 8 years ago

pynucastro: an interface to nuclear reaction rates and code generator for reaction network equations

Python Fortran
@dwillcox
10.21105/joss.00588
Displaying 10 papers

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ISSN 2475-9066