Browse by UCL people
Group by: Type | Date
Number of items: 8.
Article
Joksas, Dovydas;
AlMutairi, AbdulAziz;
Lee, Oscar;
Cubukcu, Murat;
Lombardo, Antonio;
Kurebayashi, Hidekazu;
Kenyon, Anthony J;
(2022)
Memristive, Spintronic, and 2D‐Materials‐Based Devices to Improve and Complement Computing Hardware.
Advanced Intelligent Systems
, Article 2200068. 10.1002/aisy.202200068.
(In press).
|
|
Joksas, Dovydas;
Wang, Erwei;
Barmpatsalos, Nikolaos;
Ng, Wing H;
Kenyon, Anthony J;
Constantinides, George A;
Mehonic, Adnan;
(2022)
Nonideality‐Aware Training for Accurate and Robust Low‐Power Memristive Neural Networks.
Advanced Science
, Article 2105784. 10.1002/advs.202105784.
|
|
Joksas, D;
Freitas, P;
Chai, Z;
Ng, WH;
Buckwell, M;
Zhang, WD;
Kenyon, AJ;
(2019)
Committee Machines—A Universal Method to Deal with Non-Idealities in RRAM-Based Neural Networks.
Nature Communications
, 11
, Article 4273. 10.1038/s41467-020-18098-0.
|
 |
|
Joksas, D;
Mehonic, A;
(2020)
badcrossbar: A Python tool for computing and plotting currents and voltages in passive crossbar arrays.
SoftwareX
, 12
, Article 100617. 10.1016/j.softx.2020.100617.
|
|
|
Kenyon, AJ;
Munde, M;
Ng, W;
Buckwell, M;
Joksas, D;
Mehonic, A;
(2018)
The interplay between structure and function in redox-based resistance switching.
Faraday Discussions
10.1039/C8FD00118A.
(In press).
|
|
|
Mehonic, A;
Joksas, D;
Ng, W;
Buckwell, M;
Kenyon, A;
(2019)
Simulation of Inference Accuracy Using Realistic RRAM Devices.
Frontiers in Neuroscience
, 13
, Article 593. 10.3389/fnins.2019.00593.
|
|
Proceedings paper
|
Vu, VC;
Kenyon, A;
Joksas, D;
Mehonic, A;
Mannion, DJ;
Ng, WH;
(2024)
Spiking Neural Networks with Nonidealities from Memristive Silicon Oxide Devices.
In:
Proceedings of the IEEE Conference on Nanotechnology.
(pp. pp. 46-50).
Institute of Electrical and Electronics Engineers (IEEE)
|
|
Thesis
|
Joksas, Dovydas;
(2022)
Memristive crossbars as hardware accelerators: modelling, design and new uses.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
