Richard Liam Marchese Robinson (Richard L Marchese Robinson)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 4

Top Topics

Room Temperature

Molecular Dynamics

Top Venues

Journal of chemical information and modeling

Beilstein journal of nanotechnology

Journal of cheminformatics

University of Leeds

University of Cambridge (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of Leeds Jun 06 2016

United Kingdom

Post-doctoral Research Associate :: School of Chemical and Process Engineering

Liverpool John Moores University

United Kingdom

Post-doctoral Research Fellow :: School of Pharmacy and Biological Sciences

Syngenta (employed via Scientific Recruitment Group)

United Kingdom

Post-doctoral Scientist :: Jealott's Hill International Research Centre

University of Bradford (based at Syngenta)

United Kingdom

Predictive Toxicology Data Modelling Researcher :: School of Computing Informatics and Media (based at Jealott's Hill International Research Centre)

Education History

University of Cambridge

United Kingdom

PHD :: Department of Chemistry

Publications

Richard Liam Marchese Robinson, Haralambos Sarimveis, Philip Doganis, Xiaodong Jia, Marianna Kotzabasaki, Christiana Gousiadou, Stacey Lynn Harper, Terry Wilkins
Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machine learning. Beilstein journal of nanotechnology 12 (2021)
Richard Liam Marchese Robinson, Dawn Geatches, Chris Morris, Rebecca Mackenzie, Andrew G P Maloney, Kevin J Roberts, Alexandru Moldovan, Ernest Chow, Klimentina Pencheva, Dinesh Ramesh Mirpuri Vatvani
Evaluation of Force-Field Calculations of Lattice Energies on a Large Public Dataset, Assessment of Pharmaceutical Relevance, and Comparison to Density Functional Theory. Journal of chemical information and modeling 59 (11) (2019)
Richard Liam Marchese Robinson, Kevin J Roberts, Elaine B Martin
The influence of solid state information and descriptor selection on statistical models of temperature dependent aqueous solubility. Journal of cheminformatics 10 (1) (2018)
Richard Liam Marchese Robinson, Anna Palczewska, Jan Palczewski, Nathan Kidley
Comparison of the Predictive Performance and Interpretability of Random Forest and Linear Models on Benchmark Data Sets. Journal of chemical information and modeling 57 (8) (2017)