On 19th June 2023 Dr. Theodoros Kouloukas gave a talk on Deformations and integrability of cluster maps at the 14th International Conference on Symmetries and Integrability of Difference Equations (SIDE14.2), University of […]
On 19th June 2023 Dr. Theodoros Kouloukas gave a talk on Deformations and integrability of cluster maps at the 14th International Conference on Symmetries and Integrability of Difference Equations (SIDE14.2), University of […]
Our paper “Block Copolymer Nanocomposites under Confinement: Effect on Frustrated Phases” has been published in ACS journal Macromolecules (impact factor 6.057). The publication can be found here. The authors are Javier Diaz, […]
On 15th June 2023 Dr. Helen Christodoulidi gave an online talk on Lyapunov Exponents in Hamiltonian Models with Long-Range Interactions at the CHAOS 23: Chaotic Modeling and Simulation International Conference, 13-16 June […]
Originally posted on Theory of Complex Matter:
The Gibbs paradox is a problem in the foundations of thermodynamics and statistical thermodynamics which occurs when one needs to evaluate how ‘alike’ two substances…
Date: Wednesday 26th of April 2023, 13:30 (GMT).Location: Isaac Newton Building (INB3305) and Online MS Teams meeting ‘Partial discharge from electrical treeing’ by Dr Nikola Chalashkanov, School of Engineering, University of Lincoln, […]
Bart Vorselaars published the paper “Efficient Langevin and Monte Carlo sampling algorithms: The case of field-theoretic simulations” in the Journal of Chemical Physics (with impact factor 4.3) and is available here (and […]
Our paper “A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays” has been published in the journal Scientific Reports (with impact […]
Our paper “Development of a Mortality Prediction Model in Hospitalised SARS-CoV-2 Positive Patients Based on Routine Kidney Biomarkers” part of the special issue New Insights into the Molecular Mechanisms of Kidney Injury […]
Our paper “DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays” has been published in the journal Computerized Medical Imaging and Graphics (with impact […]
On 21 – 25 February 2023 Andrei Zelindovsky has visited Dr Javier Diaz at the University of Barcelona for joint collaboration. The visit was sponsored by the University of Barcelona.