#cecam — Public Fediverse posts

Yesterday our #cecam workshop on #uncertainty quantification (#uq)
for atomistic modelling and #machinelearning for #materials #modelling
and #chemistry started.

The opening contribution was by Niklas Schmitz from @MatMat
on #uq for #densityfuncitionaltheory:
https://github.com/niklasschmitz/tutorial-cecam-workshop-dftk-2025
building upon our recent preprint https://arxiv.org/abs/2509.07785.

#condensedmatter #physics #dftk

Yesterday our #cecam workshop on #uncertainty quantification (#uq)
for atomistic modelling and #machinelearning for #materials #modelling
and #chemistry started.

The opening contribution was by Niklas Schmitz from @MatMat
on #uq for #densityfuncitionaltheory:
https://github.com/niklasschmitz/tutorial-cecam-workshop-dftk-2025
building upon our recent preprint https://arxiv.org/abs/2509.07785.

#condensedmatter #physics #dftk

@schmitz (left) explaining his recent work on making #dftk algorithmically #differentiable at the #cecam workshop on #dft and #ai (https://www.cecam.org/workshop-details/1281). With his work derivatives of key density-functional theory quantities like forces or band structures wrt. model parameters can now be easily computed.

@schmitz (left) explaining his recent work on making #dftk algorithmically #differentiable at the #cecam workshop on #dft and #ai (https://www.cecam.org/workshop-details/1281). With his work derivatives of key density-functional theory quantities like forces or band structures wrt. model parameters can now be easily computed.

@schmitz (left) explaining his recent work on making #dftk algorithmically #differentiable at the #cecam workshop on #dft and #ai (https://www.cecam.org/workshop-details/1281). With his work derivatives of key density-functional theory quantities like forces or band structures wrt. model parameters can now be easily computed.

@schmitz (left) explaining his recent work on making #dftk algorithmically #differentiable at the #cecam workshop on #dft and #ai (https://www.cecam.org/workshop-details/1281). With his work derivatives of key density-functional theory quantities like forces or band structures wrt. model parameters can now be easily computed.

@schmitz (left) explaining his recent work on making #dftk algorithmically #differentiable at the #cecam workshop on #dft and #ai (https://www.cecam.org/workshop-details/1281). With his work derivatives of key density-functional theory quantities like forces or band structures wrt. model parameters can now be easily computed.