معرفی
Andreas Hauser is an Associate Professor at the Institute for Experimental Physics, Graz University of Technology. His research bridges theoretical molecular physics and quantum chemistry with practical applications in nanotechnology, catalysis, and machine learning-driven computational methods. He leads a dynamic group integrating theory with experimental collaborations, focusing on metallic cluster physics, molecular spectroscopy, and quantum technologies. Current projects include nuclear spin control, vibrational magnetism, and AI-enhanced material design.
Recent publications highlight his work in:
- Quantum spin manipulation via laser pulses (2024)
- Machine learning for molecular energy surfaces (2023-2024)
- Non-adiabatic coupling in confined systems (2022)
- CO2 activation and nanomaterial stability (2019-2023)
- Helium droplet electron dynamics (2017)
His team employs methods like Gaussian Process Regression, density functional theory, and custom Python toolkits while mentoring numerous PhD and Master's students in high-impact research areas.
حوزههای پژوهشی
