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MAD_ex09-solution

MAD_ex09-solution

Post by: cselab
8:23AM May 06, 2019
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MAD_ex09-solution

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Our paper “Multiscale simulations of complex systems by learning their effective dynamics” was published in Nature Machine Intelligence

Our paper “Modelling glioma progression, mass effect and intracranial pressure in patient anatomy” was published in the Journal of the Royal Society Interface

Our paper “Scientific multi-agent reinforcement learning for wall-models of turbulent flows” was published in Nature Communications

Our paper “Computing foaming flows across scales: From breaking waves to microfluidics” was published in Science Advances

Our paper “Nanopumps without pressure gradients: ultrafast transport of water in patterned nanotubes” was featured on the cover Journal of Physical Chemistry B

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Chair of Computational Science
ETH Zurich, CLT
Clausiusstrasse 33
CH-8092 Switzerland

+41 44 632 71 59
mavt-cse@mavt.ethz.ch

Recent Posts

Our paper “Multiscale simulations of complex systems by learning their effective dynamics” was published in Nature Machine Intelligence April 8, 2022
Our paper “Modelling glioma progression, mass effect and intracranial pressure in patient anatomy” was published in the Journal of the Royal Society Interface March 30, 2022
Our paper “Scientific multi-agent reinforcement learning for wall-models of turbulent flows” was published in Nature Communications March 19, 2022
Our paper “Computing foaming flows across scales: From breaking waves to microfluidics” was published in Science Advances February 3, 2022
Our paper “Nanopumps without pressure gradients: ultrafast transport of water in patterned nanotubes” was featured on the cover Journal of Physical Chemistry B January 28, 2022

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