معرفی
Dr. J. Grant Hill is a Senior Lecturer in Theoretical Chemistry at the University of Sheffield's School of Mathematical and Physical Sciences. He specializes in computational chemistry, machine learning applications, and self-driving labs for materials discovery. His research focuses on developing novel computational methods, such as linear-scaling interaction energy calculations and basis set optimizations, alongside collaborations with industry on automation in chemistry. He leads the Chemistry Programme and Digital Experience initiatives at the university.
Dr. Hill holds an MChem (2002) and PhD (2006) from the University of York. His career includes postdoctoral research at Cardiff University, Washington State University, and a Royal Society of Edinburgh Fellowship at the University of Glasgow before joining Sheffield in 2014. He was promoted to Senior Lecturer in 2022.
His teaching excellence includes the 2024 University of Sheffield Education Award for Science Teaching, and he authored video tutorials for 'Atkins' Physical Chemistry.' Research highlights include contributions to basis set development (e.g., cc-pVnZ-PP-F12 for heavy elements) and AI-driven self-driving labs for sustainable chemistry.
- Key Research Areas: Machine Learning in Chemistry, Quantum Chemistry Methods, Automated Experimentation
- Notable Collaborations: Multinational companies, Cambridge Crystallographic Data Centre
- Professional Roles: Advisory Board Member, Centre for Machine Intelligence
