Dr. Hope Donglo

About

Hope Donglo is a Lecturer in the Department of Physics within the College of Basic and Applied Sciences at the University of Ghana, Legon. He joined the faculty in August 2026, after nearly half a  decade of study and research in Europe. His work covers theoretical nuclear physics, nuclear reaction dynamics, computational modeling, and data-driven methods.

He earned his PhD in Theoretical Nuclear Physics from Université de Caen Normandie, conducted with GANIL/CEA under the NUMERICS Marie Skłodowska-Curie COFUND programme. His doctoral work examined the reaction mechanisms governing the synthesis of superheavy elements, focusing on heavy-ion fusion and compound-nucleus formation.

Before his doctorate, he completed an Erasmus Mundus MSc in Theoretical Nuclear Physics, with training at Università degli Studi di Padova, Université de Caen Normandie, and Universidad Autónoma de Madrid. He holds a BSc (Hons) in Physics from the University of Ghana and has worked on research projects at GANIL/CEA, INFN Legnaro in Italy, and Universidad Autónoma de Madrid.

His current work investigates the reaction dynamics of superheavy elements using Langevin dynamics (compound-nucleus formation) and a statistical approach to treating light-particle emissions. He is also contributing to the KEWPIE3* simulation code, used to study reactions relevant to superheavy-nuclide synthesis, and combines machine learning with existing theoretical frameworks in computational nuclear physics.

Since returning to his alma mater in 2026, he has focused on physics education and nuclear research capacity in Ghana, working on questions in reaction theory alongside the software tools that support them.

Education

• PhD, Theoretical Nuclear Physics, Université de Caen Normandie, France
• MSc, Theoretical Nuclear Physics (Erasmus Mundus), Universidad de Sevilla consortium — Sevilla, Padova, Caen, and Madrid
• BSc (Hons), Physics, University of Ghana, Legon

Research Interest

• Superheavy element synthesis and heavy-ion fusion
  • Fusion-evaporation reactions and evaporation-residue production
  • Compound-nucleus formation (fusion) and survival probabilities
  • Langevin dynamics and the Fusion-by-Diffusion model
• Computational nuclear physics and scientific software development (KEWPIE3*)
• Machine learning and data-driven methods for physical modeling

Publications

1. Ackermann, D., Agert, F., Bahini, A., Boilley, D., Donglo, H., Kumar, S., Piot, J., Savajols, H., Stodel, Ch., & The S³ Collaboration. (2026). Probing SHN structure and stability — Synthesis and decay studies at S³. Acta Physica Polonica B Proceedings Supplement, 19(1), 1-A23. https://inspirehep.net/files/662fe30e3375f5a0b45198de40916d6c 
2. Donglo, H., & Rodriguez Frutos, T. R. Study of Argon Isotopes. HAL, hal-05677054.