Projects per year
Organisation 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.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
Research output
-
2T-POT Hawkes model for left- and right-tail conditional quantile forecasts of financial log-returns: out-of-sample comparison of conditional EVT models
Tomlinson, M. F., Greenwood, D. & Mucha-Kruczynski, M., 28 Apr 2023, (E-pub ahead of print) In: International Journal of Forecasting.Research output: Contribution to journal › Article › peer-review
Open Access -
ARPES Signatures of Few-Layer Twistronic Graphenes
Nunn, J. E., Mcellistrim, A., Weston, A., Garcia-Ruiz, A., Watson, M. D., Mucha-Kruczynski, M., Cacho, C., Gorbachev, R. V., Fal’ko, V. I. & Wilson, N. R., 14 Jun 2023, In: Nano Letters. 23, 11, p. 5201-5208 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Automatic Identification of Individual Nanoplastics by Raman Spectroscopy Based on Machine Learning
Xie, L., Luo, S., Liu, Y., Ruan, X., Gong, K., Ge, Q., Li, K., Valev, V. K., Liu, G. & Zhang, L., 3 Jul 2023, (E-pub ahead of print) In: Environmental Science and Technology. 12 p.Research output: Contribution to journal › Article › peer-review
1 Citation (SciVal)
Datasets
-
Dataset for "Imaging of strong vortex pinning in GdBaCuO high temperature superconducting tapes under external fields"
Collomb, D. (Creator), Bending, S. (Creator), Yuan, W. (Creator) & Zhang, M. (Creator), University of Bath, 21 Apr 2021
DOI: 10.15125/BATH-00945
Dataset
-
Data sets for "Structure of amorphous materials in the NASICON system Na_{1+x}Ti_2Si_xP_{3-x}O_{12}"
Salmon, P. (Creator) & Zeidler, A. (Creator), University of Bath, 21 Mar 2023
DOI: 10.15125/BATH-01226
Dataset
-
Dataset for "Observing the suppression of superconductivity in RbEuFe4As4 by correlated magnetic fluctuations"
Collomb, D. (Creator), Bending, S. (Creator), Farrar, L. (Creator), Koshelev, A. (Researcher), Welp, U. (Researcher), Smylie, M. (Researcher), Bao, J. (Researcher), Chung, D. Y. (Researcher), Kanatzidis, M. G. (Researcher) & Kwok, W. (Researcher), University of Bath, 14 Apr 2021
DOI: 10.15125/BATH-00711
Dataset
Student theses
-
A Biosensing Platform Based On Graphene and Supramolecular Protein Complexes
Author: Alshammari, A., 22 Apr 2015Supervisor: Ilie, A. (Supervisor) & Wolverson, D. (Supervisor)
Student thesis: Doctoral Thesis › PhD
File -
Accessing and tuning metallic-insulating regimes in 2D systems
Author: Nevill, A., 26 Jul 2023Supervisor: Dale, S. (Supervisor) & Bending, S. (Supervisor)
Student thesis: Doctoral Thesis › PhD
File -
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
File