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💻 A Fortran-Keras Deep Learning Bridge for Scientific Computing
The implementation of deep neural networks, in Fortran, may be achieved via two primary pathways. One solution is to rewrite all existing deep learning libraries in Fortran. The second solution is to leverage existing frameworks and bridge available functionalities to Fortran. The former is extremely arduous and time consuming, considering the size and scope of existing deep learning packages and the dizzying pace of their evolution. The latter approach, which this paper describes, is to allow users to leverage the power of existing frameworks while providing a bridge between paradigms where deep learning resources are plentiful and those where they are scarce. Read more in the paper…
🍭 How the food you eat affects your brain - Mia Nacamulli
When it comes to what you bite, chew and swallow, your choices have a direct and long-lasting effect on the most powerful organ in your body: your brain. So which foods cause you to feel so tired after lunch? Or so restless at night? Mia Nacamulli takes you into the brain to find out.
📚 Book of the Week
The Finite Volume Method in Computational Fluid Dynamics: An Advanced Introduction with OpenFOAM® and Matlab
This textbook explores both the theoretical foundation of the Finite Volume Method (FVM) and its applications in Computational Fluid Dynamics (CFD). Readers will discover a thorough explanation of the FVM numerics and algorithms used for the simulation of incompressible and compressible fluid flows, along with a detailed examination of the components needed for the development of a collocated unstructured pressure-based CFD solver. Two particular CFD codes are explored. The first is uFVM, a three-dimensional unstructured pressure-based finite volume academic CFD code, implemented within Matlab. The second is OpenFOAM®, an open source framework used in the development of a range of CFD programs for the simulation of industrial scale flow problems.
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