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Yusuf Hamied Department of Chemistry

 
Portrait of dw34

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

Author Correction: Nested sampling for physical scientists
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
Evaluating Geometric Definitions of Stacking for RNA Dinucleoside Monophosphates Using Molecular Mechanics Calculations
A Taghavi, I Riveros, DJ Wales, I Yildirim
– Journal of chemical theory and computation
(2022)
18,
3637
Nested sampling for physical scientists
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,
39
On the capacity and superposition of minima in neural network loss function landscapes
MP Niroomand, JWR Morgan, CT Cafolla, DJ Wales
– Machine Learning: Science and Technology
(2022)
3,
025004
Energy Landscapes for Base-Flipping in a Model DNA Duplex br
Nicy, D Chakraborty, DJ Wales
– The Journal of Physical Chemistry B
(2022)
126,
3012
Energy Landscapes of Carbon Clusters from Tight-Binding Quantum Potentials.
D Furman, F Naumkin, DJ Wales
– The journal of physical chemistry. A
(2022)
126,
2342
The Energy Landscape Perspective: Encoding Structure and Function for Biomolecules
K Röder, DJ Wales
– Frontiers in Molecular Biosciences
(2022)
9,
The Energy Landscape Perspective: Encoding Structure and Function for Biomolecules
K Röder, DJ Wales
– Front Mol Biosci
(2022)
9,
820792
Characterising the Area Under the Curve Loss Function Landscape
MP Niroomand, CT Cafolla, JWR Morgan, DJ Wales
– Machine Learning: Science and Technology
(2022)
3,
015019
Elucidating the solution structure of the K-means cost function using energy landscape theory.
L Dicks, DJ Wales
– J Chem Phys
(2022)
156,
054109
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Research Group

Research Interest Groups

Telephone number

01223 336354

Email address

dw34@cam.ac.uk