Prof. Alessandro LunghiAssistant Professor, Physics
After a BSc and a MSc in Chemistry, Alessandro was awarded a PhD from the University of Florence, Italy, in 2016. He then moved to the School of Physics at Trinity College Dublin, where he began his postdoc activity in the group of Prof. Sanvito. During this time he pursued a cross-boundaries research activity in spin relaxation theory and machine learning for materials science. In 2020 he was awarded a prestigious ERC Starting Grant to pursue his own research vision. Alessandro is now leading a growing research group that works in the development of artificial-intelligence methods for the design of new magnetic molecules for quantum technologies. Since February 2021 he holds the position of Assistant Professor in Physics at Trinity College Dublin and a Funded Investigator in the AMBER centre.
Dr Sourav MondalPostdoctoral Researcher
Sourav obtained his Ph.D. from JNCASR, India, in 2020. Before joining JNCASR, he obtained his master degree from the Indian Institute of Technology, Guwahati, in 2014. His Ph.D. research focused on DFT calculations of organic molecules on surfaces, as well as on defects found in two-dimensional materials. The general theme that he followed for his thesis was to tailor the properties of two-dimensional systems by adsorbing molecules and by defect engineering, which can find technological applications. Currently, Sourav is working as postdoctoral researcher at the School of Physics, Trinity College Dublin, where he uses first-principles theory in combination with machine-learning approaches to predict the spin-phonon lifetime of magnetic molecules in the various solid-state environment to design new materials for the application in molecular qubits.
Ms Nguyen Vu Ha AnhPostgraduate Researcher
Ha Anh graduated with a BSc in Chemistry from National University of Singapore in 2021 and joined the group as a PhD student in the same year. Her focus is on combining machine learning with materials research, especially on exploring the chemical space by extracting material properties from existing literature to improve the calculations of magnetic properties and materials design.
Mr Valerio BrigantiPostgraduate Researcher
Valerio has earned a Bachelor (2018) and a Master degree (2020) in Physics at the University of Trieste, Italy. His actual research interests are in the fields of machine learning, electronic structure calculations and quantum computing. He is also interested in various other scientific fields, ranging from Math to Neuroscience.