Profile / Summary: Henry Elorm Quarshie

Henry Elorm Quarshie is a Postdoctoral Researcher under the Mathematical & Computational Physics (MCP) Unit at the Department of Physics, KNUST. He completed his PhD in Mathematical and Computational Physics, where he works broadly in computational materials modelling using atomistic computational and simulation techniques. He holds an MPhil in Materials Science and a BSc in Physics, both from KNUST. Due to his outstanding performance and diligence, he served as a Graduate Assistant during his doctoral studies.

His academic experience includes multiple visiting periods as a PhD Erasmus Mundus scholar at the University of L’Aquila, Italy, under the InterMaths Programme. Additionally, he has participated in advanced scientific schools and workshops at several prestigious institutions such as ICTP in Trieste, the Gran Sasso Science Institute (GSSI) in Italy, the University of California, Los Angeles (UCLA), the Weierstrass Institute in Berlin, and the Gdańsk University of Technology. Furthermore, he serves as the Deputy Local Coordinator for the Interdisciplinary Mathematics Network: RealMaths Consortium, KNUST Path.

Henry contributes significantly to quantum-science outreach through the MCP Unit. He is involved in initiatives that introduce Quantum Science and Technology (QST) to senior high schools across Ghana (GQuantum) and supports MCP programmes that train students and early-career researchers in quantum information, quantum materials, and related fields.

His current research focuses on quantum computing, quantum information, and quantum algorithms, where he applies modern mathematical approaches such as tensor networks, variational and hybrid quantum-classical methods, and advanced computational techniques. His work reflects a growing interest in the intersection of computational physics, quantum technologies, and scientific computing.

Research & Technical Expertise

• Multiscale & Multiphysics Modelling Expertise, such as Density Functional Theory (DFT), Molecular Dynamics (MD), and Continuum modelling strategies.
• Computational Materials Science Investigation of interstitial solutes, lattice defects, hydrogen interactions in metals, phase transitions, and plasticity mechanisms.
• Scientific Machine Learning (SciML) Application of machine learning for interatomic potentials, data-driven modelling, and the acceleration of complex atomistic simulations.
• Quantum Science & Technology focuses on quantum algorithms and the application of quantum simulation specifically for materials discovery.
• HPC & Scientific Computing Languages: Python, Fortran. Systems: High-Performance Computing (HPC) environments and scientific workflow management.

Visiting Research / International Training

• Visiting PhD Student — University of L’Aquila, Italy (2022–2023; 2021–2022)
• Participation in advanced workshops, schools, and technical courses at:
  • International Centre for Theoretical Physics (ICTP), Trieste
  • Gran Sasso Science Institute (GSSI), Italy
  • University of California, Los Angeles (UCLA)
  • Gdańsk University of Technology, Poland
  • Weierstrass Institute (WIAS)
  • DPG Annual Conference (Germany)

These engagements span topics such as machine learning for materials, total-energy and force methods, condensed matter theory, quantum annealing, numerical computing, and scientific HPC workflows.

Selected Publications

1. Ab-initio Study of the Transition Pathways for Single and Double Interstitial Solute (H, N, O, H–H, N–N and O–O) within bcc Refractory Metals (Mo and Nb).
   Published.
2. Ab-initio Study of the Mechanical Properties of Refractory Metals (Mo and Nb) under the Influence of Atmospheric Gases (H, N, O).
   Submitted.

Honours & Awards

• Visiting PhD Student Fellowships — University of L’Aquila, Italy
• Certificates of Honour (ICTP, WIAS, and others) for participation in international workshops and schools

Workshops, Seminars & Conferences (Selected)

• Quantum Science and Technology Across Africa (QST Network Workshop), South Africa
• DPG Spring Meeting (SAMOP), University of Bonn, Germany
• QUEUE – Quantum and Molecules Summer School, Poland
• Machine Learning for Materials Workshop, ICTP, Italy
• Computational Physics and Materials Science: Total Energy and Force Methods, ICTP
• Quantum Annealing/Adiabatic Quantum Computation (ICTP)
• Numerical Computing with Python (ICTP)