| 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 | 75 | 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 | 68 | 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 | 23 | 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 |
| 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 | 16 | 2022 |
| 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 | | 2023 |
| Memristive crossbars as hardware accelerators: modelling, design and new uses D Joksas UCL (University College London), 2022 | | 2022 |
Adnan MehonicAssociate Professor, University College LondonVerified email at ucl.ac.uk
