Projects per year
Organization profile
Organisation profile
Jointly based at the Universities of Bristol and Bath, the Centre for Doctoral Training in Condensed Matter Physics aims to train students across a broad range of disciplines in the field of hard condensed matter physics, encompassing experiment, theory, fundamental physics and device applications. The aim is to break down traditional boundaries between these disciplines and thus produce graduates who are able to mix theory with experiment, embed state-of-the-art measurement or computational science in their research and exploit fundamental physics in applications. The CDT structure also emphasises strong engagement with industrial, academic and large facility partners as well as training in key transferable skills and public engagement.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Condensed Matter Physics CDT is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Steven Andrews
- Department of Physics - Senior Lecturer
- Condensed Matter Physics CDT
- Centre for Photonics and Photonic Materials
Person: Research & Teaching
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Robert Armstrong
- Department of Electronic & Electrical Engineering - Postgraduate Research Student
- Condensed Matter Physics CDT
Person: Postgraduate Research Student, Doctor of Philosophy
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Transdermal Diagnostics: non-invasive, affordable, continuous glucose monitoring for diabetes management and prevention
2/05/22 → 1/05/23
Project: Research council
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Fellowship - Suping-up 2D Materials: New Electronic States Using Ionic Liquid Field Effects
1/10/17 → 31/03/23
Project: Research council
Research output
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2T-POT Hawkes model for dynamic left- and right-tail quantile forecasts of financial returns: out-of-sample validation of self-exciting extremes versus conditional volatility
Tomlinson, M. F., Greenwood, D. & Mucha-Kruczynski, M., 2 Feb 2022, (Submitted) In: International Journal of Forecasting.Research output: Contribution to journal › Article
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Active elastocapillarity in soft solids with negative surface tension
Binysh, J., Wilks, T. R. & Souslov, A., 11 Mar 2022, In: Science Advances. 8, 10, eabk3079.Research output: Contribution to journal › Article › peer-review
Open Access -
Active solids sync up
Binysh, J. & Souslov, A., 18 Aug 2022, (E-pub ahead of print) In: Nature Physics.Research output: Contribution to journal › Comment/debate
Datasets
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Dataset for "Understanding the resolution limit of Displacement Talbot Lithography"
Chausse, P. (Creator), Le Boulbar, E. (Creator), Lis, S. (Creator) & Shields, P. (Creator), University of Bath, 20 Feb 2019
DOI: 10.15125/BATH-00570
Dataset
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Dataset for "Enantiomorphing chiral plasmonic nanostructures: a counter-intuitive sign reversal of the nonlinear circular dichroism"
Collins, J. (Creator), Valev, V. (Creator), Zheng, X. (Creator), Braz, N. (Project Member), Slenders, E. (Creator), Zu, S. (Creator), Vandenbosch, G. (Creator), Moshchalkov, V. (Project Member), Fang, Z. (Creator), Ameloot, M. (Creator), Warburton, P. (Project Member) & Valev, V. (Supervisor), University of Bath, 3 May 2018
DOI: 10.15125/BATH-00483
Dataset
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Dataset for "Tuning the structure of the Josephson vortex lattice in Bi2Sr2CaCu2O8+δ single crystals with pancake vortices"
Bending, S. (Creator), Curran, P. (Data Collector), Mohammed, H. (Data Collector), Koshelev, A. (Project Member), Tsuchiya, Y. (Project Member), Tamegai, T. (Project Member), Curran, P. (Creator), Mohammed, H. (Creator) & Koshelev, A. (Creator), University of Bath, 19 Jul 2018
DOI: 10.15125/BATH-00525
Dataset
Student theses
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A computational study of molecular desorption from the Si(111)-7x7 surface
Author: Chowdhury, D., 23 Mar 2022Supervisor: Crampin, S. (Supervisor), Wolverson, D. (Supervisor) & Rusimova, K. (Supervisor)
Student thesis: Doctoral Thesis › PhD
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Adaptive neurocomputation with spiking semiconductor neurons
Author: Zhao, L., 5 Jan 2015Supervisor: Nogaret, A. (Supervisor)
Student thesis: Doctoral Thesis › PhD
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An ab-initio theoretical description of vibrational, and electronic states, in pristine and doped organic semiconductors.: (Alternative Format Thesis)
Author: Fontanesi, C., 22 Aug 2017Supervisor: Da Como, E. (Supervisor)
Student thesis: Doctoral Thesis › PhD
File