Projects
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| Reference Number | UKRI773 | |
| Title | Solar Cells-Inspired Inorganic Semiconductor Synaptic Systems for Low Energy Edge Computing and Visual Learning | |
| Status | Started | |
| Energy Categories | Renewable Energy Sources (Solar Energy, Photovoltaics) 20%; Not Energy Related 75%; Energy Efficiency (Industry) 5%; |
|
| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Jonathan Major University of Liverpool |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 October 2025 | |
| End Date | 01 October 2029 | |
| Duration | 48 months | |
| Total Grant Value | £76,080 | |
| Industrial Sectors | Unknown | |
| Region | North West | |
| Programme | UKRI MSCA | |
| Investigators | Principal Investigator | Jonathan Major , University of Liverpool |
| Other Investigator | Ken Durose , University of Liverpool Laurie Phillips , University of Liverpool |
|
| Web Site | ||
| Objectives | ||
| Abstract | The rapidly expanding field of artificial intelligence (AI) and machine learning exposes the limitations of conventional Von Neumann architecture. Neuromorphic computing, inspired by the highly energy efficient functionning of the brain, has emerged as a solution for efficient unsupervised learning, particularly relevant qith the advent of edge computing and visual computing applications. Solar cell-inspired materials, offering persistent photoconductivity allowing to simulate synaptic plasticity, have the potential to revolutionise neuromorphic visual computing. The SOLIS project forms an international consortium of experts from photovoltaics and materials science to explore inorganic thin film materials' potential as artificial visual synapses. These materials, tuneable and stable, promise reliable optically controlled MEMRISTORS suitable for diverse light intensities and wavelenghts. The collaboration, emphasising staff exchanges and transparent sharing of data, methods and persons, aims to reinforce our understanding, innovate with materials like 2D MXenes, and establish a shared framework for optoelectronic characterisation of visual synapses. The project aligns with Europe's objective to catch up in the field of AI and possibly become a leader in hardware-level machine learning, offering opportunities for scientists from Third Countries and EU countries alike. SOLIS will be an important milestone for EU research and the PV field as a whole, unlocking new applications for inorganic thin film materials and offering a paradigm shift toward visual computing and AI free from the constraints of current materials and architectures | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 07/01/26 | |
