جستجوی استاد راهنمای دانشگاهی

• Theoretical Chemistry
• Quantum Chemistry
• Relativistic Effects
• +۷ مورد دیگر

Professor Kenneth Ruud is a leading expert in theoretical and computational chemistry at UiT The Arctic University of Norway. He serves as Director General of the Norwegian Defence Research Establishment and leads the Hylleraas Centre for Quantum Molecular Sciences. His research focuses on relativistic quantum chemistry, developing advanced ab initio methods for molecular property calculations, and integrating QM/MM and continuum solvent models. Education: PhD from University of Oslo (1998, supervised by Trygve Helgaker) Postdoc: University of San Diego with Peter Taylor (1998-2000) His work spans relativistic effects in molecular properties, vibronic coupling, and X-ray spectroscopy. He contributes to software development through programs like Dalton, Dirac, ReSpect, and OpenRSP. Recent publications highlight applications in spin-vibronic dynamics, heavy metal L/M-edge XAS, and topological materials. Key scientific contributions include relativistic DFT for nuclear spin-rotation constants, polarizable embedding models for vibrational spectra, and quantum dynamics frameworks. Awards recognize his impact through the Dirac Medal (2008) and multiple academy memberships. Elected to Norwegian Academy of Science and Letters Fellow of American Association for the Advancement of Science (AAAS) Foreign member of Finnish Academy of Science and Letters He actively participates in open science initiatives and serves on boards including Norges Forskningsråd and CAROS center for subsea robotics. Current projects involve quantum molecular science in extreme environments and computational protocol development.

Luca Fredianiمشاهده پروفایل

استاد

• Theoretical and Computational Chemistry
• Density Functional Theory (DFT)
• Multiwavelet Methods
• +۴ مورد دیگر

Luca Frediani is a Professor in Theoretical and Computational Chemistry at the Hylleraas Center, Department of Chemistry, UiT The Arctic University of Norway. His research focuses on advanced quantum chemistry methods, including density functional theory, multiwavelet basis sets, and solvation modeling. He actively develops computational tools like MRChem and VAMPyR for molecular electronic structure calculations. Current affiliation: UiT The Arctic University of Norway Research group: Theoretical and Computational Chemistry Teaching: KJE-2001 Theoretical Chemistry and Spectroscopy His work spans relativistic quantum chemistry, numerical methods for response properties, and benchmarking of basis set limits. Publications emphasize eliminating basis set errors, multiwavelet applications, and polarizable continuum models for solvation. He collaborates extensively on software development for quantum chemistry. Recent articles highlight multiwavelet-based DFT at the basis set limit, noise-tolerant force calculations, and relativistic effects in electronic structure. Sub-fields include scalar relativity, cavity-free solvation, and metal-ligand interaction accuracy.

Maarten Beerepootمشاهده پروفایل

استاد

• Chemistry Education
• Educational Assessment
• Digital Learning Tools
• +۳ مورد دیگر

Maarten Beerepoot is a Professor in the Department of Chemistry at UiT The Arctic University of Norway's Faculty of Science and Technology. His primary academic appointment focuses on chemistry education and computational chemistry research. He maintains an active teaching schedule across multiple chemistry courses including General Chemistry, Inorganic Chemistry, and Physical Chemistry, while also contributing to interdisciplinary courses like Philosophy of Science and Ethics. His research interests center on Chemistry Education , particularly assessment methods and digital learning tools, alongside Computational Chemistry specializing in spectroscopic modeling and molecular properties. Beerepoot leads research within the Chemical Synthesis and Analysis group and contributes to the KjemDiA and Realfagsdidaktikk i høyere utdanning (Higher Education Science Didactics) initiatives. Analysis of his recent publications reveals a strong trend toward innovative educational assessment techniques, with significant focus on automated grading systems, cumulative quiz structures, and active learning methodologies for large student cohorts. His computational work emphasizes vibrational circular dichroism protocols and accurate prediction of molecular optical properties. Merited teacher (2020) at UiT The Arctic University of Norway Beerepoot has developed extensive teaching programs for both students and teaching assistants, establishing the 'Gruppelærerdagen' (Group Teacher Day) initiative to improve instructional quality from the first teaching session. His educational grants focus on digital assessment tools and interdisciplinary collaboration for improving chemistry education. He maintains the protein laboratory in Realfagbygget C306 and actively contributes to PhD training programs within the chemistry department.

• Quantum Chemistry
• Computational Chemistry
• Solvation Modeling
• +۳ مورد دیگر

Roberto Di Remigio Eikas is an Associate Professor in the Department of Chemistry at UiT The Arctic University of Norway. His research focuses on quantum chemistry, computational methods, and solvation modeling. Key research areas: Quantum Chemistry, Relativistic Electronic Structure Theory, Multiwavelet Frameworks, and Solvation Modeling Major contributions to open-source software development (VAMPyR, PCMSolver, MRChem) Collaborator in Nordic Quantum Chemistry Library Ecosystem His recent work explores multiwavelet-based quantum chemical methods, relativistic effects in solution-phase calculations, and stochastic approaches to coupled cluster theory. Publications span high-impact journals like Journal of Chemical Theory and Computation and Journal of Chemical Physics , highlighting innovative numerical techniques and software implementations.

Sigbjørn Løland Boreمشاهده پروفایل

پژوهشگر

• Computational Chemistry
• Quantum Chemistry
• Machine Learning Potentials
• +۵ مورد دیگر

Sigbjørn Løland Bore is a Researcher in the Department of Chemistry at the University of Oslo , affiliated with the Hylleraas Center for Quantum Molecular Sciences . His work bridges artificial intelligence and quantum mechanics to develop machine learning potentials for advanced molecular dynamics simulations. Focus areas: first-principles simulations , ionic conductivity in nanoporous materials, and exotic chemical physics . Current projects include adversarial learning for potential optimization and investigating water's phase behavior. Publications trend toward computational chemistry , quantum simulations , and machine learning applications in molecular modeling. Collaborations span institutions like the University of California and Italian research groups.

Nishamol Kuriakoseمشاهده پروفایل

پژوهشگر ارشد

• DFT Studies
• Small Molecule Activation
• Homogeneous Catalysis
• +۴ مورد دیگر

Nishamol Kuriakose is a Research Fellow at the Fukui Institute for Fundamental Chemistry, Kyoto University, Japan. Previously, they held positions including Post-doctoral Research Fellow at The Hebrew University of Jerusalem (Israel), Research Associate at IISER Pune (India), and Research Scientist at A*STAR-IHPC (Singapore). Their research focuses on DFT studies, small molecule activation, catalysis, and machine learning applications in chemistry. Education: Ph.D. in Chemical Science, CSIR-National Chemical Laboratory, Pune, India M.Sc. Chemistry, University of Kerala, India (Mar Ivanios College) B.Sc. Chemistry, Mahatma Gandhi University, India (Assumption College) Research Interests: Exploring computational and experimental methods to advance catalytic processes and material science. Key areas include transition metal and main group catalysts, surface chemistry of MXenes, and drug-target interactions through molecular modeling. Machine learning aids in optimizing reaction pathways and predicting catalytic behaviors. Awards: PBC “Study in Israel” Fellowship H2020-MSCA-IF-2020 - Seal of Excellence Shell India Computational Talent Prize Advising & Grants: While no formal advisees are listed, their work has been supported by grants including the H2020-MSCA fellowship. Active collaborations involve theoretical chemistry groups exploring catalytic mechanisms and material surfaces. Labs/Teams: Member of the Theoretical Chemistry research group, focusing on computational modeling of catalytic systems and environmental chemistry applications.

Odile Eisensteinمشاهده پروفایل

استاد

• Computational Chemistry
• Reaction Mechanisms
• Organometallic Chemistry
• +۷ مورد دیگر

Odile Eisenstein is a prominent computational chemist at the Department of Chemistry , University of Oslo , with over 40 years of impactful contributions to organometallic chemistry and reaction mechanisms . Her work bridges homogeneous catalysis , NMR spectroscopy , and quantum chemistry to uncover fundamental chemical principles. Research Focus : Computational modeling of organometallic reactions, electronic structure analysis, solvent effects, catalysis, and chemical shift interpretation Key Collaborators : Michele Cascella, Christopher P. Gordon, Christophe Raynaud, and others in interdisciplinary projects Publications : Over 200 peer-reviewed articles in top journals including Chemical Science , JACS , and Angewandte Chemie Methodological Innovations : Developing machine learning potentials for molecular dynamics Quantitative approaches to energy profiles and reaction mechanisms Decoding chemical shifts for electronic structure insights Impactful Studies include Grignard reaction mechanisms, metal-carbon bonding, and catalyst design principles. She actively contributes to Hylleraas Centre for Quantum Molecular Sciences , advancing theoretical chemistry frameworks.

• Gas Hydrates
• Molecular Dynamics
• Thermodynamics
• +۴ مورد دیگر

Tatiana Kuznetsova is a Professor at the University of Bergen's Department of Physics and Technology. She leads the Theoretical Physics Research Group, focusing on gas hydrates, molecular dynamics, and thermodynamics. Her work addresses energy challenges like CO₂ sequestration and flow assurance. She collaborates with the FME-SUCCESS consortium and NORCE Energy. Her research spans: Hydrate formation/dissociation kinetics Interfacial properties of CO₂/water systems Thermodynamic modeling of phase transitions Surfactant applications in flow assurance Recent publications emphasize hydrate stability in sediments, thermodynamic frameworks for energy systems, and molecular-scale interactions in multiphase environments. Her work integrates simulations with experimental validation. She actively mentors graduate students in hydrate physics and computational methods, contributing to Norway's energy research initiatives. Lab activities include collaborative projects on Arctic gas hydrates and carbon capture.