Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Article

Conn, Jonathan G. M. and Ahmad, Abdullah and Palmer, David S. (2024) A machine learning free energy functional for the 1D reference interaction site model : towards prediction of solvation free energy for all solvent systems. Liquids, 4 (4). pp. 710-731. ISSN 2673-8015

Fowles, Daniel J. and McHardy, Rose G. and Ahmad, Abdullah and Palmer, David S. (2023) Accurately predicting solvation free energy in aqueous and organic solvents beyond 298 K by combining deep learning and the 1D reference interaction site model. Digital Discovery, 2 (1). pp. 177-188. ISSN 2635-098X

This list was generated on Wed Nov 20 18:28:10 2024 GMT.