Dr. Sergio Manzetti | Mathematics | Best Researcher Award
Linnaeus University | France
Dr. Sergio Manzetti is a distinguished researcher whose interdisciplinary work bridges mathematics, quantum information theory, and nanotechnology. With an h-index of 26, 4,946 citations, and numerous scholarly documents, his research demonstrates both depth and global impact. His expertise spans mathematical analysis, Fourier analysis of partial differential equations (PDEs), quantum chemistry, computational systems, and nonlinear dynamics, contributing significantly to the understanding of quantum systems and wave phenomena. Dr. Manzetti’s academic foundation includes advanced degrees from Uppsala University, Linnaeus University, Queensland University of Technology, and Oslo University College, where he specialized in the mathematical and physical sciences. His professional experience is equally impressive—serving as an EU expert for Marie-Curie Fellowships, AI prompt reviewer at Mercor Intelligence, and researcher at Fjord-Research AS. He has co-authored influential publications in Analysis and Mathematical Physics, Advanced Theory and Simulations, and RSC Advances, addressing topics from eigenvalue problems of non-self-adjoint operators to supersymmetric wave equations and nanomaterial design. Skilled in Python, Mathematica, and MATLAB, Dr. Manzetti combines theoretical rigor with computational precision. His contributions to quantum information systems, rogue wave modeling, and nanotechnology continue to advance interdisciplinary research, positioning him as a leading figure in applied mathematics and theoretical chemistry.
Profiles : Scopus | Orcid | Google Scholar
Featured Publications
Manzetti, S., & Khrennikov, A. (2025, September 28). Quantum and topological dynamics of GKSL equation in camel-like framework. Entropy.
Manzetti, S. (2025, September 22). Geometric formalism for quantum entanglement via B³ and S⁰ mappings. Preprint.
Manzetti, S., & Khrennikov, A. (2025, July 11). Quantum and topological dynamics of the GKSL equation in the camel-like framework. Preprint.
Kumar, R., Hiremath, K. R., & Manzetti, S. (2024, April). A primer on eigenvalue problems of non-self-adjoint operators. Analysis and Mathematical Physics.
Manzetti, S. (2021). Spectral properties of non-self adjoint operators: A review of the recent literature. Unpublished manuscript.
Kamerlin, N., Delcey, M. G., Manzetti, S., & van der Spoel, D. (2020, August 24). Toward a computational ecotoxicity assay. Journal of Chemical Information and Modeling.
Manzetti, S., & Trounev, A. (2020, January). Analytical solutions for a supersymmetric wave-equation for quasiparticles in a quantum system. Advanced Theory and Simulations.
Manzetti, S. (2020, January). Electromagnetic vorticity in a square-well crystal system described by a supersymmetric wave-equation. Advanced Theory and Simulations.
Ghisi, R., Vamerali, T., & Manzetti, S. (2019). Accumulation of perfluorinated alkyl substances (PFAS) in agricultural plants: A review. Environmental Research.
van der Spoel, D., Manzetti, S., Zhang, H., & Klamt, A. (2019, August 27). Prediction of partition coefficients of environmental toxins using computational chemistry methods. ACS Omega.
Manzetti, S., & Gabriel, J.-C. P. (2019, March 2). Methods for dispersing carbon nanotubes for nanotechnology applications: Liquid nanocrystals, suspensions, polyelectrolytes, colloids and organization control. International Nano Letters.
Manzetti, S., & Trounev, A. (2019, May). Supersymmetric Hamiltonian and vortex formation model in a quantum nonlinear system in an inhomogeneous electromagnetic field. Advanced Theory and Simulations.
Behzadi, H., Manzetti, S., Dargahi, M., Roonasi, P., & Khalilnia, Z. (2018). Application of calculated NMR parameters, aromaticity indices and wavefunction properties for evaluation of corrosion inhibition efficiency of pyrazine inhibitors. Journal of Molecular Structure.
Manzetti, S. (2018). Applied quantum physics for novel quantum computation approaches: An update. Computational Mathematics and Modeling.
Manzetti, S. (2018). Mathematical modeling of rogue waves, a review of conventional and emerging mathematical methods and solutions. Preprint.
Manzetti, S. (2018, November 8). Derivation and numerical analysis of an attenuation operator for non-relativistic waves. Scientific Reports.
Manzetti, S., & Lu, T. (2018, August 20). Addendum: Solvation energies of butylparaben, benzo[a]pyrene diol epoxide, perfluorooctanesulfonic acid, and DEHP in complex with DNA bases. Chemical Research in Toxicology.
Manzetti, S. (2018, June 20). Mathematical modeling of rogue waves: A survey of recent and emerging mathematical methods and solutions. Axioms.