| Order by:
[Title],
[Author],
[Editor],
[Year] |
|---|
|
Alexander Novikov, Maxim Rakhuba, Ivan Oseledets
Automatic Differentiation for Riemannian Optimization on Low-Rank Matrix and Tensor-Train Manifolds
Article in
SIAM Journal on Scientific Computing, 2022 |
Application Area:
Riemanian Optimization
Tools:
T3F
|
|
Mustafa Bandukwala2021VoP
Viability of Power-Split Hybrid-Electric Aircraft under Robust Control Co-Design
Master thesis,
Department of Mechanical and Materials Engineering, University of Cincinnati, 2021 |
Application Area:
Aerodynamics
Tools:
ADiMat
|
|
|
Andrea Maggi, Dominik Garmatter, Sebastian Sager, Martin Stoll, Kai Sundmacher
Power-to-Syngas: A Parareal Optimal Control Approach
Article in
Frontiers in Energy Research, 2021 |
Application Area:
Chemistry
Tools:
ADiMat
|
|
|
Henrik Büsing
Challenges in simulation of geological CO_2 sequestration and supercritical geothermal reservoirs
Ph.D. thesis,
RWTH Aachen University,
2021 |
Application Area:
Geophysics
Tools:
ADiMat, TAPENADE
|
|
Yuxuan Jing, Rami M. Younis
Cache-Aware and Roofline-Ideal Automatic Differentiation
2021 |
Application Area:
Reservoir Simulation
Tools:
MXCSL
|
|
|
Johannes Blühdorn, Nicolas R. Gauger, Matthias Kabel
AutoMat: automatic differentiation for generalized standard materials on GPUs
Article in
Computational Mechanics, 2021 |
Application Area:
Material Science, Mechanical Engineering, Ordinary Differential Equations
Theory & Techniques:
Forward Mode, Parallelism, Performance, Reverse Mode
|
|
|
William S. Moses, Valentin Churavy, Ludger Paehler, Jan Hückelheim, Sri Hari Krishna Narayanan, Michel Schanen, Johannes Doerfert
Reverse-Mode Automatic Differentiation and Optimization of GPU Kernels via Enzyme
Conference proceeding,
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Association for Computing Machinery,
2021 |
Tools:
Enzyme
Theory & Techniques:
Parallelism
|
|
|
Jan Hückelheim, Johannes Doerfert
Spray: Sparse Reductions of Arrays in OpenMP
Conference proceeding,
2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021 |
Theory & Techniques:
Parallelism
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
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
|
|
|
Alexander Novikov, Pavel Izmailov, Valentin Khrulkov, Michael Figurnov, Ivan Oseledets
Tensor Train Decomposition on TensorFlow (T3F)
Article in
Journal of Machine Learning Research, 2020 |
Tools:
T3F
|
