./episode_33.sh
Dream big and dare to fail.
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GIBBON - The Geometry and Image-Based Bioengineering add-On
GIBBON (The Geometry and Image-Based Bioengineering add-On) is an open-source MATLAB toolbox by Kevin M. Moerman and includes an array of image and geometry visualization and processing tools and is interfaced with free open source software such as TetGen, for robust tetrahedral meshing, and FEBio for finite element analysis. The combination provides a highly flexible image-based modelling environment and enables advanced inverse finite element analysis.
🧬 AlphaFold 🧬
DeepMind made AlphaFold v2 accessible to everyone - AlphaFold predicts 3D structures of proteins down to atomic accuracy.
Repo: https://github.com/deepmind/alphafold
Paper: https://www.nature.com/articles/s41586-021-03819-2
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting
The simulator augments the finite element method (FEM) with a continuous contact model based on signed distance fields (SDF), as well as a continuous damage model that inserts springs on opposite sides of the cutting plane and allows them to weaken until zero stiffness to model crack formation. Through various experiments, we evaluate the performance of the simulator. We first show that the simulator can be calibrated to match resultant forces and deformation fields from a state-of-the-art commercial solver and real-world cutting datasets, with generality across cutting velocities and object instances.
📝 https://arxiv.org/abs/2105.12244
Upcoming Podcast
For the upcoming podcast I am very happy to welcome Astrid Walle on my show! Astrid is a mechanical engineer with a PhD in Computational Fluid Dynamics (CFD) and more than a decade of experience in applied fluid mechanics. She has held several positions in gas turbine aeromechanics, R&D and AI development at Siemens Energy, Vattenfall SE and Rolls Royce.
🌐 Her website: https://cfdsolutions.net/
💼 Astrid’s LinkedIn: https://www.linkedin.com/in/astridwalle/
In this podcast, we talked about:
• Simulation Data Management 💼
• Data Science paradigms applied to engineering 🛠
• Image recognition for post - post processing 📋
• ML driven knowledge transfer 🧠
• and much more…
Went Live This Week
Book of the Week
Parallel and High Performance Computing
📕 Use the code "podengineered20" to get a 40% discount!
Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. You’ll learn to evaluate hardware architectures and work with industry standard tools such as OpenMP and MPI. You’ll master the data structures and algorithms best suited for high performance computing and learn techniques that save energy on handheld devices. You’ll even run a massive tsunami simulation across a bank of GPUs.
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Closing Remarks
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See you next week and in the meantime, make sure to keep engineering your mind!
Jousef