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Previous Members:

• Harry Tunstall [EPSRC PhD Student]. Project: “A Machine Learned Potential for Silicon Carbide“
• Jonas Miksys [MChem Student]. Project: “Applying Genetic Algorithms to the SOAP Descriptor”
• Vanessa Gaensicke [URSS Warwick Student]. Project: “Implementing Structural Descriptors to Predict the Physical Stability of Amorphous Drugs via Machine Learning“
• Nicolas Fernandes [MChem Student]. Project: “Order and Disorder at Lipid-Water Interfaces“
• Amy Ho [MChem Student]. Project: “Analysis of the Interaction of Self-Assembled Monolayers with Thiolate Capped Molecules“
• Cami Wells [MChem Student]. Project: “Combining Structure and Chemistry to Craft Versatile Molecular Descriptors for Machine Learning in the Context of Drug Design“
• Harry Hagan [MChem Student]. Project: “Exploring Machine Learning Methods for Drug Discovery”
• Jonathon Ong [MChem Student]. Project: “Exploring Molecular Descriptors: Clique Vocabulary and Weighted Atom-Centred Symmetry Functions”
• Steven Tseng [MathSys CDT MSc student] (webpage). Project: “Will They Fit? Colored Graphs Meet Additive Kernels to Improve Drug Design via Machine Learning”
• Gediminas Pazera [URSS Warwick Student] (webpage). Project: “Harnessing Machine Learning-based Interatomic Potentials to Compute the Thermal Conductivity of Amorphous Carbon”
• Ozan Caglar [URSS Warwick Student] (webpage). Project: “Molecular Dynamics Simulations of Supercooled Water on Phospholipid Monolayers”
• Roshan Gupta [URSS Warwick Student] (webpage). Project: “Raman Spectrum of a Controversial Amorphous Model of the Phase Change Material Ge₂Sb₂Te₅ via a Bond Polarizability Model”