Committee machines—a universal method to deal with non-idealities in memristor-based neural networks D Joksas, P Freitas, Z Chai, WH Ng, M Buckwell, C Li, WD Zhang, Q Xia, ... Nature Communications 11 (1), 1-10, 2020 | 81 | 2020 |
Simulation of Inference Accuracy Using Realistic RRAM Devices A Mehonic, D Joksas, WH Ng, M Buckwell, AJ Kenyon Frontiers in neuroscience 13, 593, 2019 | 72 | 2019 |
Nonideality‐Aware Training for Accurate and Robust Low‐Power Memristive Neural Networks D Joksas, E Wang, N Barmpatsalos, WH Ng, AJ Kenyon, ... Advanced Science 9 (17), 2105784, 2022 | 31 | 2022 |
Memristive, Spintronic, and 2D‐Materials‐Based Devices to Improve and Complement Computing Hardware D Joksas, AA AlMutairi, O Lee, M Cubukcu, A Lombardo, H Kurebayashi, ... Advanced Intelligent Systems 4 (8), 2200068, 2022 | 28 | 2022 |
The interplay between structure and function in redox-based resistance switching AJ Kenyon, MS Munde, WH Ng, M Buckwell, D Joksas, A Mehonic Faraday discussions 213, 151-163, 2019 | 21 | 2019 |
badcrossbar: A Python tool for computing and plotting currents and voltages in passive crossbar arrays D Joksas, A Mehonic SoftwareX 12, 100617, 2020 | 9 | 2020 |
Emerging Nonvolatile Memories for Machine Learning A Mehonic, D Joksas arXiv preprint arXiv:2308.03659, 2023 | 1 | 2023 |
Spiking Neural Networks with Nonidealities from Memristive Silicon Oxide Devices VC Vu, A Kenyon, D Joksas, A Mehonic, DJ Mannion, WH Ng 2024 IEEE 24th International Conference on Nanotechnology (NANO), 46-50, 2024 | | 2024 |
Memristive crossbars as hardware accelerators: modelling, design and new uses D Joksas UCL (University College London), 2022 | | 2022 |