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Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines2023 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access
Mohammad Hizzani, Arne Heittmann, George A. Hutchinson, Dmitrii Dobrynin, Thomas Van Vaerenbergh, Tinish Bhattacharya, +3 more
1citations -
An Ising machine formulation for design updates in topology optimization of flow channels2026 Engineering With Computers article Computer Science Metaheuristic Optimization Algorithms Research Open access
Yudai Suzuki, Shiori Aoki, Fabian Key, K. Endo, Yoshiki Matsuda, Shu Tanaka, +2 more
4citations -
An Ising Machine Formulation for Design Updates in Topology Optimization of Flow Channels2024 arXiv (Cornell University) preprint Engineering Advancements in Photolithography Techniques Open access
Yudai Suzuki, Fabian Key, Katsuhiro Endo, Yoshiki Matsuda, Shu Tanaka, Marek Behr, +1 more
0citations -
Computing high-degree polynomial gradients in memory2024 Nature Communications article Computer Science Neural Networks and Applications Open access cited by 1 patent
Tinish Bhattacharya, George Higgins Hutchinson, Giacomo Pedretti, Xia Sheng, Jim Ignowski, Thomas Van Vaerenbergh, +3 more
22citations -
Impact of memory device precision in analog combinatorial optimization solvers2026 npj Unconventional Computing article Engineering Advanced Memory and Neural Computing Open access
Mohammad Hizzani, Ming-Jay Yang, Arne Heittmann, George Higgins Hutchinson, Dmitri B. Strukov, John Paul Strachan
0citations -
Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties2024 Machine Learning with Applications article Materials Science Machine Learning in Materials Science Open access
Binh Duong Nguyen, Pavlo Potapenko, Aytekin Demirci, Kishan Govind, Sébastien Bompas, Stefan Sandfeld
22citations
13 results