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Materials Theory Group

 
Welcome to Dr Bartomeu Monserrat

The Materials Theory Group welcomes new faculty member and new group member Bartomeu Monserrat.

Dr Monserrat has been awarded the Gianna Angelopoulos Lectureship in Computational Materials Science, which he is taking up in the Department of Materials Science and Metallurgy in January 2020.

Dr Monserrat's research interests lie in first-principles quantum condensed matter theory, which he applies to address a variety of problems in optoelectronics, topology, and superconductivity. You can read more about his research interests here.

Dr Monserrat and his group are moving to the Department from the Cavendish Laboratory. We also extend a warm welcome to his PhD students Ivona, Siyu, Alan, Arjun, Gunnar, Bo and Yuchen, as well as to postdoctoral research associate Dr Yun Liu.

Welcome!

Latest news

Fast and easy exploration of crystal properties using machine-learned Ephemeral Data-derived Potentials

12 January 2024

Machine learning is quickly gaining prominence in the field of computational materials science. In the Materials Theory Group, we develop so-called ‘machine learned interatomic potentials’ (MLIPs), which can describe the...

Structure and colour in nitrogen-doped lutetium hydride

19 December 2023

Superconducting materials have a wide range of applications - from efficient power transmission to the advanced electromagnetics used in MRI machines - due to their loss-free conductivity. Current practical superconductors...

Quantum-induced hydrogen hopping in high-temperature superconducting lanthanum polyhydride

14 April 2023

Figure caption : Quantum effects are essential for hydrogen to dynamically explore different configurations. On the left, we see how the hydrogen atoms cover much larger distances at all temperatures when quantum effects are...

Flat water and ice

26 September 2022

Figure Caption : Pentagonal ice – a two-dimensional form of ice predicted to form when water is squeezed between graphene sheets. Water can be found trapped in nanoscale cavities, for example in biological membranes, or in...

Congratulations Ben Shires!

2 August 2022

Ben completed his PhD viva last week, covering his work on SHEAP , and he will soon be Dr Shires. Congratulations! shires.jpg

Quicker Crystals

14 July 2022

First-principles structure prediction has enabled the computational discovery of materials with extreme, or exotic properties. For example, the dense hydrides, which following computational searches have been found to...

New carbonates uncovered

7 January 2022

A study by Joseph Nelson and Chris Pickard of the Department of Materials Science and Metallurgy, University of Cambridge and the AIMR, Tohoku University, uses structure prediction to exhaustively explore the Ti-C-O and Al-C-O ternary systems.