M B Giles

Trends in high-performance computing for engineering calculations

M B Giles, I Reguly, M. Giles, 2014, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

An adaptive multi-level simulation algorithm for stochastic biological systems.

Christian A. Yates, R E Baker, C A Yates, 2014, The Journal of chemical physics.

Potent agonist and antagonist analogues of luliberin containing an azaglycine residue in position 10.

M B Giles, B. Furr, A. Walpole, 1978, Biochemical and biophysical research communications.