v5.6.1

NeuralPDE v5.6.1

Diff since v5.6.0

Merged pull requests:

• update Symbolics and SymbolicUtils (#663) (@xtalax)
• Relax the IDE test for v1.6 (#671) (@ChrisRackauckas)
• test against PDESysLibrary (#674) (@xtalax)

v5.6.0

NeuralPDE v5.6.0

Diff since v5.5.0

Closed issues:

• @Nograd not defined (#661)
• Typo on the page example (#664)

Merged pull requests:

• Update README.md (#667) (@naceurCRAAG)
• Test master (#668) (@ChrisRackauckas)
• Update ks.md (#669) (@JunaidAkhter)

v5.5.0

NeuralPDE v5.5.0

Diff since v5.4.0

Closed issues:

• PDESystemLibrary.jl a comprehensive resource for discretizer packages. (#638)
• Additional loss is not logged (#649)
• NeuralPDE fail to compile (#660)

Merged pull requests:

• ComponentArray ERROR in Lux (#646) (@Xinyu-Li-1997)
• Log additional loss (#650) (@De-Souza)
• ComponentArray ERROR in Lux (2) (#651) (@De-Souza)
• Update pdesystem.md (#652) (@AstitvaAggarwal)
• Describe Flux vs Lux (#653) (@ChrisRackauckas)
• enable dependabot for GitHub actions (#655) (@ranocha)
• Bump actions/cache from 1 to 3 (#656) (@dependabot[bot])
• Bump actions/checkout from 1 to 3 (#657) (@dependabot[bot])
• Depwarn (#658) (@ChrisRackauckas)
• rebase (#662) (@xtalax)

v5.4.0

NeuralPDE v5.4.0

Diff since v5.3.0

Closed issues:

• CUDA: NAN (#466)
• QuasiRandomTraining(sampling_alg = SobolSample()) is not working correctly (#609)
• Using NeuralPDE with Boundary Conditions on the GPU (#612)
• ERROR: Optimization algorithm not found. (#618)
• Lots of warnings on example (#619)
• ERROR: LoadError: UndefVarError: SciMLProblem not defined (#620)
• Higher approximation order numeric_derivative (#641)

Merged pull requests:

• Correct sampling (#610) (@YichengDWu)
• canonize docs (#613) (@ArnoStrouwen)
• [skip ci] badges (#615) (@ArnoStrouwen)
• reproducible docs (#616) (@ArnoStrouwen)
• [skip ci] doc compat (#617) (@ArnoStrouwen)
• lib cov (#621) (@ArnoStrouwen)
• Use the parameterless type for doing adapting (#632) (@ChrisRackauckas)
• [skip ci] LanguageTool (#637) (@ArnoStrouwen)
• format markdown (#639) (@ArnoStrouwen)
• update to ArrayInterface v7 (#645) (@ChrisRackauckas)

v5.3.0

NeuralPDE v5.3.0

Diff since v5.2.0

Closed issues:

• How to using additional_loss input 3D data. (#589)
• How to use GPU to [chain1,chian2]? (#594)
• ERROR: MethodError: no method matching NeuralPDE.Phi (#595)
• Poisson Example not working on Julia 1.8 (#602)
• The implementation of finite differences throws away its advantage over AD (#607)

Merged pull requests:

• unify docs (#590) (@ArnoStrouwen)
• [skip ci] badges (#596) (@ArnoStrouwen)
• doc cov (#597) (@ArnoStrouwen)
• MassInstallAction: Install the Invalidations workflow on this repository (#601) (@devmotion)
• Adapt states to GPU correctly (#604) (@YichengDWu)
• Use different step sizes for different orders of derivatives (#608) (@YichengDWu)

v5.2.0

NeuralPDE v5.2.0

Diff since v5.1.1

Closed issues:

• Upstreaming ComponentArrays overloads for Adapt required for GPU (#584)
• How to use real data？ (#588)

Merged pull requests:

• Remove ComponentArrays overloads (#587) (@MilkshakeForReal)

v5.1.1

NeuralPDE v5.1.1

Diff since v5.1.0

Closed issues:

• Training on GPU with Lux (#579)

Merged pull requests:

• Don't initialize parameters twice (#586) (@MilkshakeForReal)

v5.1.0

NeuralPDE v5.1.0

Diff since v5.0.0

Closed issues:

• Error in a simple free surface problem (#484)
• Coupled boundary conditions for systems of PDE (#577)

Merged pull requests:

• fix typo (#570) (@MilkshakeForReal)
• Fix another typo (#571) (@MilkshakeForReal)
• fix grid strategy with PDE systems (#578) (@KirillZubov)
• Lux on GPU (#583) (@MilkshakeForReal)

v5.0.0

NeuralPDE v5.0.0

Diff since v4.11.0

Closed issues:

• Pricing options using NeuralNetDiffEq (#68)
• third derivative (#129)
• periodic boundary conditions (#134)
• Example 7 of PINN: Kuramoto–Sivashinsky equation (#138)
• Support automatic differentiation of the NN inside the loss function? (#150)
• Automatic weighting between equations (#155)
• support ConstrainedEquation for PINNs (#176)
• Handle Models with Intermediate Expressions (#178)
• Using a loop algorithm instead of recursive for calculating the derivative (#193)
• Support TensorBoardLogger.jl or something like this. (#194)
• Nonlinear second-order boundary value problems (#203)
• Flux NNs shouldn't have to destructure/restructure (#214)
• 2D inhomogeneous biharmonic equation (#218)
• Upgrade to MTK5: errors and omissions in PINN examples (#248)
• Full Kolmogorov PDE Solver documentation (#258)
• DeepONets (#268)
• Adaptive loss reweighting for PINNs (#276)
• Imposing positive definiteness of the Hessian (#280)
• IfElse.ifelse fail broadcasting (#299)
• Cannot import ModelingToolkit: Interval, infimum, supremum (#319)
• GPU Low-level api example (#342)
• Reduce precompile time (#368)
• retrieving PINN result (#376)
• Support derivative for @register function (#398)
• Test on a simple integrodifferential PDE (#406)
• System of PDEs with CUDA? (#410)
• Issue MethodError (#417)
• Why the default derivative method is a numerical derivative? (#427)
• Models with integrals over an infinite interval have loss = NaN or loss = Inf (#435)
• How to run get_phi(chain) (#437)
• IDE system fails with GPU (#443)
• Kuramoto–Sivashinsky equation (#445)
• Should we default to domain decomposition? (#451)
• How many boundary points and internal points？ (#453)
• An thinking of increasing speed using Adaptive-Activation-Functions (#457)
• Systems of PDE using GPU (#460)
• How to use GPU? (#462)
• How many network models when solve the system of eqs? (#467)
• Wave equation tutorial does not work (#478)
• AbstractAdaptiveLoss (#489)
• Specify loss function directly for NeuralPDE? (#496)
• Example on PDE System to be updated (#502)
• error at precompiling of the version 4.10 (#522)
• NNPDEHan details: u0 and BatchNorm (#525)
• Example from documentation errors (#526)
• Potential gradient issues with Flux chains when changing parameter type (#533)
• Clean up the nomenclature and document PINNLossFunctions (#549)

Merged pull requests:

• link from docs to repo (#524) (@ranocha)
• Update docs for Optimization.jl (#527) (@ChrisRackauckas)
• Simplify sin(pi) = 0 in poisson example (#530) (@albheim)
• enable a few doctests (#532) (@ChrisRackauckas)
• Simplify a bunch of things (#534) (@ChrisRackauckas)
• removed stuff related to DeepBSDE solvers, including doc (#535) (@vboussange)
• Major dependency and test clean up (#538) (@ChrisRackauckas)
• Overhaul NNODE (#539) (@ChrisRackauckas)
• clean up some NNODE and training strategies docs (#541) (@ChrisRackauckas)
• format SciML Style (#542) (@ChrisRackauckas)
• Fix NNODE doc tutorial (#543) (@ChrisRackauckas)
• Refactor internals so debugging is not sensitive to the internals (#544) (@ChrisRackauckas)
• Simplify all of symbolic discretize into just symbolic discretize (#545) (@ChrisRackauckas)
• Finish marking PINN examples as doctests (#546) (@ChrisRackauckas)
• Refactor training strategy handling (#547) (@ChrisRackauckas)
• Better RNG seed? (#548) (@ChrisRackauckas)
• Generalize the adaptive loss interface (#553) (@ChrisRackauckas)
• batching in NNODE (#554) (@ChrisRackauckas)
• Specialize higher order derivatives (#558) (@ChrisRackauckas)
• Restructure the documentation (#560) (@ChrisRackauckas)
• Update Zygote.ignore to ChainRulesCore.ignore_derivatives (#562) (@ChrisRackauckas)
• CompatHelper: add new compat entry for ChainRulesCore at version 1, (keep existing compat) (#564) (@github-actions[bot])
• FastChain -> Lux (#565) (@ChrisRackauckas)
• Use dependent variable naming in the indexing (#567) (@ChrisRackauckas)
• improve a bunch of docstrings (#568) (@ChrisRackauckas)
• CompatHelper: add new compat entry for ComponentArrays at version 0.12, (keep existing compat) (#569) (@github-actions[bot])

v4.11.0

NeuralPDE v4.11.0

Diff since v4.10.1

Merged pull requests:

• Update for Optimization.jl (#523) (@ChrisRackauckas)