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Yusuf Hamied Department of Chemistry

 

Professor of Chemical Physics

The self-assembly of complex mesoscopic structures, the folding of proteins, and the complicated phenomenology of glasses are all manifestations of the underlying potential energy surface (PES). In each of these fields related ideas have emerged to explain and predict chemical and physical properties in terms of the PES. In studies of clusters and glasses the PES itself is often investigated directly, whereas for proteins and other biomolecules it is also common to define free energy surfaces, as the figure below illustrates for lysozyme.

Applications of energy landscape theory in my group range from studies of tunnelling splitting patterns in small molecules to computer simulation of protein folding and misfolding, including aggregation of misfolded proteins. Other active research topics include global optimisation and investigation of how the thermodynamic and dynamic properties of glasses are related to the underlying PES.

Two recent advances are now providing new insight into larger systems. Discrete path sampling enables dynamical properties to be obtained efficiently, and is being used to calculate folding rates for proteins. Unexpected connections between dynamics and thermodynamics have also been revealed by the application of catastrophe theory to energy landscapes, and new results are now being obtained to characterize phase transitions.

Publications

Energy landscapes and heat capacity signatures for monomers and dimers of amyloid forming hexapeptides
Nicy, D Wales
(2023)
Physics Inspired Approaches To Understanding Gaussian Processes
MP Niroomand, L Dicks, EO Pyzer-Knapp, DJ Wales
(2023)
Energy landscapes and heat capacity signatures for peptides correlate with phase separation propensity
Nicy, J Joseph, R Collepardo-Guevara, D Wales
(2023)
On the mechanism of polaritonic rate suppression from quantum transition paths
MC Anderson, EJ Woods, TP Fay, DJ Wales, DT Limmer
(2023)
Physics-Inspired Interpretability Of Machine Learning Models
MP Niroomand, DJ Wales
(2023)
Molecular Energy Landscapes of Hardware-Efficient Ansätze in Quantum Computing
B Choy, DJ Wales
– J Chem Theory Comput
(2023)
19,
1197
Dynamic Diastereomerism on Chiral Surfaces
SC Matysik, DJ Wales, SJ Jenkins
– Journal of Physical Chemistry C
(2022)
127,
229
Author Correction: Nested sampling for physical scientists (Nature Reviews Methods Primers, (2022), 2, 1, (39), 10.1038/s43586-022-00121-x)
G Ashton, N Bernstein, J Buchner, X Chen, G Csányi, A Fowlie, F Feroz, M Griffiths, W Handley, M Habeck, E Higson, M Hobson, A Lasenby, D Parkinson, LB Pártay, M Pitkin, D Schneider, JS Speagle, L South, J Veitch, P Wacker, DJ Wales, D Yallup
– Nature Reviews Methods Primers
(2022)
2,
44
Stochastic paths controlling speed and dissipation
RA Bone, DJ Sharpe, DJ Wales, JR Green
– Physical review. E
(2022)
106,
054151
Enhancing Biomolecular Simulations with Hybrid Potentials Incorporating NMR Data.
G Qi, MD Vrettas, C Biancaniello, M Sanz-Hernandez, CT Cafolla, JWR Morgan, Y Wang, A De Simone, DJ Wales
– Journal of chemical theory and computation
(2022)
18,
7733
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Research Group

Research Interest Groups

Telephone number

01223 336354

Email address

dw34@cam.ac.uk