Differentiable molecular simulations for control and learning
Molecular dynamics simulations use statistical mechanics at the atomistic scale to enable
both the elucidation of fundamental mechanisms and the engineering of matter for desired …
both the elucidation of fundamental mechanisms and the engineering of matter for desired …
Physics-preserving AI-accelerated simulations of plasma turbulence
Turbulence in fluids, gases, and plasmas remains an open problem of both practical and
fundamental importance. Its irreducible complexity usually cannot be tackled …
fundamental importance. Its irreducible complexity usually cannot be tackled …
Combining Physics and Deep Learning for Continuous-Time Dynamics Models
M Lutter - Inductive Biases in Machine Learning for Robotics and …, 2023 - Springer
During the last five years, deep learning has shown the potential to fundamentally change
the use of learning in robotics. Currently, many robot learning approaches involve a deep …
the use of learning in robotics. Currently, many robot learning approaches involve a deep …
A comparison of mesh-free differentiable programming and data-driven strategies for optimal control under PDE constraints
The field of Optimal Control under Partial Differential Equations (PDE) constraints is rapidly
changing under the influence of Deep Learning and the accompanying automatic …
changing under the influence of Deep Learning and the accompanying automatic …
[PDF][PDF] Controlling Laplacian Eigenfluids
Understanding and modeling our environment is a great and important challenge, spanning
many disciplines from weather and climate forecast, through vehicle design to computer …
many disciplines from weather and climate forecast, through vehicle design to computer …
[PDF][PDF] Reduced Order Modeling of Fluid Dynamics
B Börcsök, L Szécsi - 2022 - bobarna.github.io
Understanding and modeling our environment is a great and important challenge, spanning
many disciplines from weather and climate forecast, through vehicle design to computer …
many disciplines from weather and climate forecast, through vehicle design to computer …
[PDF][PDF] A Short Report on Learning to Control PDEs With Differentiable Physics
B BÖRCSÖK - bobarna.github.io
Modelling, understanding and controlling the physical world around us is a longstanding
problem in many disciplines. Partial Differential Equations (PDEs) are one of the most …
problem in many disciplines. Partial Differential Equations (PDEs) are one of the most …