Computational Mechanics

At the Chair of Data Science in Civil Engineering, Bauhaus-Universität Weimar, our research centers on computational mechanics. We build numerical methods — and the code that runs them — for simulating and designing engineering structures.

Laser powder bed fusion: the mesh follows the melt pool.

Research areas

Discretization technologies Solving partial differential equations more efficiently. More →
Inverse problems & optimization Finding unseen or optimal structures. More →
Additive manufacturing Certifying and improving 3D printing technologies. More →
Scientific machine learning Accelerating and improving simulations with modern AI methods. More →

Software

cuwave

Single-GPU differentiable higher-order finite difference wave propagation code.

Install it with pip install cuwave

mlhp

Efficient multi-level hp- and other finite element methods in arbitrary dimensions.

Install it with pip install mlhp

neuralmech

A collection of machine learning enhanced physics solvers and optimizers, answering when and where deep learning is useful in numerical simulation.

pbf

Convenient thermomechanical simulation of powder bed fusion additive manufacturing processes.

Install it with pip install pbf

Publications

The research areas above list our journal articles from the last five years, together with our most-cited earlier work. The complete list is maintained on the chair's publication page.