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Dominik Garmatter, Andrea Maggi, Marcus Wenzel, Shaimaa Monem, Mirko Hahn, Martin Stoll, Sebastian Sager, Peter Benner, Kai Sundmacher
Power-to-Chemicals: A Superstructure Problem for Sustainable Syngas Production
Mathematical Modeling, Simulation and Optimization for Power Engineering and Management, Springer International Publishing, 2021
Application Area:
Chemistry
Tools:
ADiMat
Lu Lu, Xuhui Meng, Zhiping Mao, George Em Karniadakis
DeepXDE: A Deep Learning Library for Solving Differential Equations
Article in SIAM Review, 2021
Application Area:
Machine Learning
Tim Kaler, Tao B. Schardl, Brian Xie, Charles E. Leiserson, Jie Chen, Aldo Pareja, Georgios Kollias
PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation
Conference proceeding, Proceedings of the Symposium on Algorithmic Principles of Computer Systems (APOCS), Society for Industrial and Applied Mathematics, 2021
Theory & Techniques:
Parallelism, Reverse Mode
Belmiro P. M. Duarte, Anthony C. Atkinson, José F. O. Granjo, Nuno M. C. Oliveira
A model-based framework assisting the design of vapor-liquid equilibrium experimental plans
Article in Computers & Chemical Engineering, 2021
Application Area:
Chemistry
Tools:
ADiMat
Jorge López, Cosmin Anitescu, Timon Rabczuk
Isogeometric structural shape optimization using automatic sensitivity analysis
Article in Applied Mathematical Modelling, 2021
Application Area:
Shape optimization
Tools:
ADiMat

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