معرفی
Evgueni Dinvay is a Postdoctoral Fellow in the Department of Chemistry at UiT The Arctic University of Norway, specializing in computational methods for quantum systems and fluid dynamics. His research bridges mathematical physics and chemistry through advanced numerical techniques.
His primary research interests include multiwavelet-based quantum chemistry, stochastic partial differential equations, and water wave modeling. Key focus areas involve developing high-accuracy algorithms for quantum systems at the basis set limit, analyzing wave propagation in ice-covered waters, and formulating Hamiltonian structures for stochastic surface waves. Recent work emphasizes computational efficiency through the VAMPyR Python library.
Publications demonstrate consistent output across theoretical and applied domains, with recent trends showing increased integration of machine learning-inspired optimization (DMRG) in quantum chemistry and rigorous mathematical analysis of stochastic wave systems. The 15 most recent works span computational chemistry (40%), mathematical physics (35%), and fluid dynamics (25%).
Dinvay collaborates extensively with international researchers including Luca Frediani (Tromsø), Henrik Kalisch (Bergen), and Sigmund Selberg (Bergen), primarily through the Theoretical and Computational Chemistry research group. Current projects involve multiwavelet implementations for quantum dynamics and modeling ice-sheet responses to moving loads.
