University of Oxford

University of Oxford

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United Kingdom
Oxford University's Materials Department is highly industry facing, and it is in this department that the Advanced Nanoscale Engineering Group is based. The group engages in research into Phase Change Materials based optoelectronics, NEMS and Advanced Nanomanufacturing.
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University of Oxford
6 Jan


Nanopore was founded in 2005 as a spin-out from the University of Oxford by Hagan Bayley, developing a disruptive, electronic, single-molecule sensing system based on nanopore science.
12 Sep

New AI technology for advanced heart attack prediction

Technology developed using artificial intelligence could identify people at high risk of a fatal heart attack at least 5 years before it strikes, according to new research funded by the British Heart Foundation.
23 Aug

Dycotec: A Growth Story

IDTechEx recently interviewed Dycotec, a provider of printed electronics materials. Dycotec is an advanced materials company developing and manufacturing electrically and thermally conductive, insulator, adhesives and overcoat products. It sells over 50 standard products globally from low to high volume. It sells both directly via its on-line website or through global distribution channels in the US, Far East and India.
12 Aug


IDTechEx interviewed Ian Clark, Business Development Manager at Dycotec. Dycotec has grown rapidly from their foundation in 2015 to be a profitable one-stop-shop provider of materials for printed electronics.
14 Jun

Nexeon and partners funded for new battery materials initiative

Nexeon is leading a new project to optimise coating technology for its silicon material. This approach will result in improved cell performance, and also extend the system compatibility of silicon anode materials, allowing use of lower cost electrolyte formulations and lower overall battery cell costs.
30 May

Manned Electric Aircraft 2020-2030

IDTechEx Report: Dr Peter Harrop and Dr Richard Collins
17 May

Use of robots and artificial intelligence to understand the deep-sea

Artificial intelligence could help scientists shed new light on the variety of species living on the ocean floor, according to new research.
9 Apr

3D Printing 2019-2029: Technology and Market Analysis

IDTechEx Report: Dr Bryony Core
9 Apr

3D Printing of Metals 2019-2029

IDTechEx Report: Dr Bryony Core
8 Apr

Grid-scale lithium-vanadium hybrid project in the UK

UK Research and Innovation will contribute c.£10 million to support the £41 million Energy Superhub Oxford project, which will showcase cutting-edge electric vehicle charging, energy storage systems, and low carbon heating, plus smart energy management technologies to support Oxford City Council's journey to zero carbon.
26 Mar

Electronics at the nanoscale: challenges and opportunities

Silver, gold and copper nanowires are leading contenders for next-generation nanoscale devices, however greater understanding of how they work and improved production methods are needed before they can be widely used.
26 Mar

Laser Diodes & Direct Diode Lasers 2019-2029: Technologies, Markets & Forecasts

IDTechEx Report: Dr Nilushi Wijeyasinghe
22 Mar

5G Technology, Market and Forecasts 2019-2029

IDTechEx Report: Dr Luyun Jiang
13 Mar

Digital Health 2019: Trends, Opportunities and Outlook

IDTechEx Report: Dr Nadia Tsao
22 Feb

World's first gene therapy operation for common cause of sight loss

Researchers in Oxford have carried out the world's first gene therapy operation to tackle the root cause of age-related macular degeneration.
19 Feb

Electric Vehicles in China 2019-2029

IDTechEx Report: Dr Peter Harrop, Dr Na Jiao, Dr Luyun Jiang and Dr Khasha Ghaffarzadeh
5 Jan

Oxford Photovoltaics

Oxford PV is a spin out from Oxford University. The perovskite solar cell technology they use is based on the invention by Dr Henry Snaith in the Department of Physics, Oxford University.
21 Dec

Piezoelectric Harvesting and Sensing for Healthcare 2019-2029

IDTechEx Report: Dr Peter Harrop, Dr Richard Collins and Dr Luyun Jiang
6 Dec

Microdisplay chip paves the way for high-performance smart glasses

EU-funded scientists have developed a high-resolution microdisplay chip for less bulky high-performance virtual reality and assisted-vision headsets.
5 Dec

Emergency admission predicted with AI

Machine learning can be used to analyse electronic health records and predict the risk of emergency hospital admissions.