|
A. Griewank, T. Streubel, C. Tischendorf
On the abs-polynomial expansion of piecewise smooth functions
Article in
Optimization Methods & Software, Taylor & Francis,
2021 |
Theory & Techniques:
Piecewise Linear
|
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Saeed Azad, Michael J. Alexander-Ramos
Robust Combined Design and Control Optimization of Hybrid-Electric Vehicles Using MDSDO
Article in
IEEE Transactions on Vehicular Technology, 2021 |
Application Area:
Electric Vehicle Powertrain
Tools:
ADiMat
|
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Hong Zhang, Emil Constantinescu
Revolve-Based Adjoint Checkpointing for Multistage Time Integration
Conference proceeding,
Computational Science -- ICCS 2021, Springer International Publishing,
2021 |
Theory & Techniques:
Checkpointing
|
|
Rebecca Hyen Hae Kim
Dynamic Optimization Algorithms for Baseload Power Plant Cycling under Variable Renewable Energy
Ph.D. thesis,
Department of Chemical and Biomedical Engineering, West Virginia University, 2021 |
Application Area:
Chemistry, Dynamic Optimization
Tools:
ADiMat
|
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N. McGreivy, S. R. Hudson, C. Zhu
Optimized finite-build stellarator coils using automatic differentiation
Article in
Nuclear Fusion, IOP Publishing,
2021 |
Application Area:
Nuclear Fusion
Tools:
JAX
|
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Adam S. Abbott, Boyi Z. Abbott, Justin M. Turney, Henry F. Schaefer
Arbitrary-Order Derivatives of Quantum Chemical Methods via Automatic Differentiation
Article in
The Journal of Physical Chemistry Letters, American Chemical Society (ACS),
2021 |
Application Area:
Chemistry
Tools:
JAX
|
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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
|
|
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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
|
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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
|
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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
|
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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
|
