جست‌وجوی استاد و پژوهشگر

Kovács Katalinمشاهده پروفایل

استاد

• Nonlinear Optics
• Laser-Matter Interaction
• Attosecond Physics
• +۷ مورد دیگر

Kovács Katalin is a Leading Researcher at the National Institute for Research and Development of Isotopic and Molecular Technologies (INCDTIM) in Cluj-Napoca, Romania, within the Department of Isotopic and Molecular Technologies and the Laser Induced Processes research team. She holds a PhD in Physics from Babeș-Bolyai University (2007) and an MSc in Computational Physics from the same institution (2003). Her work is centered on advanced computational modeling in ultrafast optics and attosecond science. Her research interests span Nonlinear Optics , Laser-Matter Interaction , Attosecond Physics , and Modeling of High-Order Harmonic Generation (HHG) . She develops numerical tools to simulate laser pulse propagation in gaseous media and to control the generation of attosecond pulses. Her expertise includes femtosecond pulse shaping, relativistic laser intensities, and quasi-phase matching techniques. She integrates artificial neural networks into pulse reconstruction software for facilities like ELI-NP, demonstrating a strong interdisciplinary approach combining physics, modeling, and machine learning. Kovács has played key roles in numerous national and international research projects. She has served as Project Coordinator for grants such as Obtaining single attosecond pulses through high-order harmonic generation by terahertz assisted infrared pulses (PD-2011) and Femtosecond pulse shaping to control attosecond pulse generation (RUTE-2014). She has been a Key Expert in major initiatives including Attosecond Chemistry (CA18222), eXtreme ultraviolet to soft-X-ray Photonic Integrated Circuits (X-PIC), and several ELI-related projects. Her collaborations include institutions such as Universidad Autónoma de Madrid, Seconda Università di Napoli, University College Dublin, and IFIN-HH. Her work contributes to the development of compact, high-flux EUV and soft X-ray sources for scientific and industrial applications. She has participated in peer-review activities for international programs and holds a Web of Science ResearcherID (B-5629-2011). Her research has strong implications for fundamental physics, materials science, and next-generation photonic technologies. She is actively involved in modeling coherent beam combining, characterizing laser propagation effects, and exploring the photochemical behavior of nanomaterials using time-resolved spectroscopy and DFT/TDDFT methods.

Irene Aguilera Bonetمشاهده پروفایل

پژوهشگر

• Quantum Materials
• Condensed Matter Physics
• Theoretical Physics
• +۳ مورد دیگر

Dr. Irene Aguilera Bonet is a Group Leader at the Ab Initio Quantum Materials Group (AIQM) within the Institute for Theoretical Physics (ITFA) at the University of Amsterdam. Her work focuses on first-principles many-body methods for quantum materials, aiming to bridge theoretical predictions with experimental results. The AIQM group, part of the Institute of Physics (IoP) and affiliated with the European Theoretical Spectroscopy Facility (ETSF) and the Dutch Research School of Theoretical Physics (DRSTP), develops advanced computational approaches beyond density functional theory (DFT) to study emergent phenomena in condensed matter. Their research targets applications in quantum technologies, with a focus on magnetic topological insulators, excitonic insulators, and topological magnons. Current and former students under her supervision include Farhan Tanzim (GW calculations of magnetic topological insulators), Weiyi Guo (strongly-correlated topological materials), Marie Tardieux (structural and magnetic properties of TIs), Thomas Mersie (implementation of TDDFT in SPEX), Martina Piccamiglio (topological magnons in 2D CrI3), and others working on topics like optical absorption spectra, quasiparticle Fermi surfaces, and quantum anomalous Hall effects.

• Solid State Theory
• Density Functional Theory
• Computational Materials Science
• +۲ مورد دیگر

Dr. Adrienn Ruzsinszky is Professor of Physics at Tulane University's School of Science & Engineering, specializing in solid-state theory and density functional theory (DFT) developments. Her research advances computational methods for quantum materials, focusing on electronic structure, excitonic phenomena, and optoelectronic properties of low-dimensional systems. Research highlights: Development of meta-generalized gradient approximations for quantum materials Excitonic insulator states in 2D materials Strain engineering of electronic properties Advanced time-dependent DFT methods Machine learning-enhanced materials discovery Recent publications demonstrate methodological innovations applied to topological insulators, transition metal dichalcogenides, and cuprate superconductors, with emphasis on exciton physics, charge density waves, and lattice dynamics. Research contributes to fundamental understanding of quantum phenomena in materials for energy and information technologies.

Ádám Galiمشاهده پروفایل

عضو هیئت علمی

• Quantum Technology
• Materials Science
• Semiconductor Physics
• +۵ مورد دیگر

Ádám Gali is a University Professor at the Budapest University of Technology and Economics (BME) and Scientific Director at the Institute of Solid State Physics and Optics of the HUN-REN Wigner Research Centre for Physics. He leads the Semiconductor Nanostructures Research Group and holds positions including former Deputy Scientific Director (2022-2024). His research focuses on ab-initio computational materials science, investigating point defects in semiconductors like silicon, diamond, and silicon carbide for quantum technology, biosensors, and solar cells. Education: PhD in Physics (2001), Habilitation (2011), BME. Key Roles: Group Leader (2010-2024), Scientific Director (2024-present), EU Grant Holder (e.g., QuantERA, Horizon 2020). Research interests span quantum emitters, defect qubits, and computational methods (DFT, TDDFT). Awards include the Hungarian Order of Merit and National Excellence Program grants. Over 200 publications, including seminal work on nitrogen-vacancy centers and silicon vacancy defects. Collaborates globally with institutions like Harvard, Stuttgart, and Linköping.

• Relativistic Quantum Chemistry
• Computational Chemistry
• Molecular Properties
• +۴ مورد دیگر

Michal Repisky is a Researcher at the Department of Chemistry, UiT The Arctic University of Norway, and a member of the Hylleraas Centre for Quantum Molecular Sciences. His work focuses on developing advanced computational methods for relativistic quantum chemistry with applications to molecular property prediction. Education: Ph.D. in Chemistry from Slovak Academy of Sciences (2009) Research Interests: Repisky specializes in relativistic ab-initio electronic structure methods using two-component and four-component formalisms. His primary focus is magnetic resonance phenomena, supplemented by work in response theory for molecules and solids, real-time electron dynamics, and high-performance computing optimization. These interests drive innovations in computational accuracy and efficiency for predicting complex molecular behaviors under relativistic conditions. Publication Trends: Recent publications (2023-2025) reveal concentrated advancements in relativistic density functional theory, particularly X2C Hamiltonian implementations and real-time TDDFT applications. Key developments target X-ray absorption spectroscopy near heavy-metal edges, chiral molecule analysis through electronic circular dichroism, and efficient algorithms for attosecond transient absorption spectroscopy, demonstrating consistent progress in bridging computational cost with relativistic accuracy. Scientific Awards: No awards listed. Advising and Grants: Actively supervises PhD candidates including Rasmus Vikhamar-Sandberg (2022-present), Marc Joosten (2017-present), Marius Kadek (2014-2018), and Lukas Konecny (2013-2017). Leads the ReSpect program development (www.respectprogram.org), a major relativistic quantum chemistry DFT package that serves as critical infrastructure for the global computational chemistry community. Labs and Teams: Core member of UiT's Theoretical and Computational Chemistry research group and the Hylleraas Centre for Quantum Molecular Sciences, where he contributes to collaborative projects advancing quantum molecular science through cutting-edge computational methodologies and software development.

• Artificial Intelligence
• Large Language Models
• Computer Vision
• +۷ مورد دیگر

Şener Özönder is a Full-time Associate Professor at Bogazici University, leading the Özönder Lab. His research focuses on AI agents, large language models, computer vision, and AI applications in drug discovery, materials science, and industrial cost prediction. He oversees a computing infrastructure with two 4U GPU servers (6 NVIDIA RTX 4090 GPUs) and a NAS storage system. His research interests include AI-accelerated drug discovery, nanomaterials design via AI/quantum mechanics, and on-device AI agents for real-time API interactions. Key projects include an AI-based drug discovery platform (TÜBİTAK-funded), EU-funded EUPilot for AI accelerator chips, and cloud-based battery monitoring systems (BatteLLIGENCE). Özönder advises four MS students on topics such as LLM agents and cost prediction from engineering drawings. His work bridges physics-inspired AI models with computational quantum mechanics, reflecting his background in both theoretical physics and modern AI applications. Recent projects span nano-material discovery (TÜBİTAK 3501), automotive cost estimation (TÜBİTAK 1711), and vulnerability analysis in post-quantum cryptography (TÜBİTAK BİLGEM). His articles explore AI-driven materials discovery, quantum dot design, and high-energy physics phenomena like gluon saturation and azimuthal correlations in collider experiments. The lab’s infrastructure supports large-scale simulations and machine learning workloads, with a focus on interdisciplinary innovation.

Tim Joachim Zuehlsdorffمشاهده پروفایل

استادیار

• Theoretical Chemistry
• Physical Chemistry
• Computational Methods
• +۷ مورد دیگر

Tim Joachim Zuehlsdorff is an Assistant Professor in Theoretical/Physical Chemistry at Oregon State University's Department of Chemistry, within the College of Engineering. His research focuses on developing computational techniques for predicting optical properties of large systems using time-dependent density-functional theory (TDDFT), particularly through the linear-scaling ONETEP package. He investigates polarization effects, vibronic coherences in proteins, and non-linear spectroscopy like 2D electronic spectroscopy. Education: Postdoctoral Scholarships at University of California Merced (2016-2020), Cambridge University (2014-2016), and degrees from Imperial College London (BSc 2010, MSci 2011). Research emphasizes modeling excitations in complex environments, including solvated dyes, semiconductor nanoparticles, and pigment-protein complexes. The Zuehlsdorff Group actively recruits undergraduates, graduates, and postdocs to advance these projects.

Iurii Timrovمشاهده پروفایل

پژوهشگر ارشد

• Computational Materials Science
• Density Functional Theory
• Electron-Phonon Coupling
• +۳ مورد دیگر

Dr. Iurii Timrov is a Tenure Track Scientist at PSI's Laboratory for Materials Simulations, specializing in computational materials science. His research develops first-principles methods for modeling materials properties, including DFT+U, electron-phonon coupling, and magnetic excitations. He contributes to the open-source Quantum ESPRESSO suite and focuses on transition-metal compounds, battery materials, and computational spectroscopy. He supervises PhD students and teaches at international schools, emphasizing method dissemination for complex materials modeling. His work bridges theoretical simulations with experimental techniques like inelastic neutron scattering and X-ray spectroscopy.

Elron Pensمشاهده پروفایل

پژوهشگر

• Quantum Chemistry
• Generative Models
• Deep Neural Networks
• +۳ مورد دیگر

Elron Pens is a doctoral researcher in the Machine Learning Group at Technical University of Berlin. His research focuses on applying deep neural networks to molecular excited state properties and fragment-based quantum chemistry methodologies. He holds dual degrees from Technische Universität Berlin: a B.Sc. in Chemistry (2018) and an M.Sc. in Chemistry (2021). Education: M.Sc. Chemistry, Technische Universität Berlin (2021) B.Sc. Chemistry, Technische Universität Berlin (2018) Research interests span interdisciplinary areas combining quantum chemistry computational methods (DFT, TDDFT, QM-MM) with modern machine learning approaches like generative models. His work bridges molecular modeling and artificial intelligence to improve computational efficiency in quantum chemistry simulations. No specific grants or awards are mentioned in the provided text. He is affiliated with the Machine Learning Group at TU Berlin, focusing on advancing computational chemistry techniques through AI integration.

Francois Maugerمشاهده پروفایل

استادیار

• Theoretical Atomic, Molecular, and Optical Physics
• Nonlinear Dynamics
• Ultrafast Science
• +۳ مورد دیگر

Dr. Francois Mauger is an Assistant Professor in the Department of Physics & Astronomy at Louisiana State University (LSU), part of the College of Science. He holds a B.S. in Mathematics (2007, Université de Provence), M.S. in Engineering and Mathematics (2009, École Centrale Marseille), and Ph.D. in Physics (2012, Aix-Marseille Université). His research focuses on theoretical and applied atomic, molecular, and optical physics, with an emphasis on ultrafast electron dynamics in molecules under intense laser fields. Key areas include charge migration, attosecond solitons, and nonlinear dynamics in organic systems. Research interests span ultrafast spectroscopy, strong-field physics, and computational chemical physics using tools like time-dependent density-functional theory (TDDFT). He leads a group developing the QMol-grid MATLAB package for quantum simulations. His work explores charge migration mechanisms, high-harmonic generation, and molecular dynamics in extreme laser environments. Collaborations include the ATTO-CM DOE-funded network for charge migration studies. Students advised include Austin Bartunek (Ph.D.), Christian Corsten (Undergraduate), and Manik Kapil (co-supervised). Postdoctoral researcher Giorgio Visentin contributes to projects. Publications span experimental and theoretical advancements in attosecond science and molecular spectroscopy.

Kenneth Schaferمشاهده پروفایل

استاد

• Atomic, Molecular and Optical Physics
• Strong Field Physics
• Attosecond Science
• +۳ مورد دیگر

Kenneth Schafer is the Ball Family Distinguished Professor of Physics & Astronomy at Louisiana State University (LSU), where he leads theoretical research in strong-field and attosecond physics. His work focuses on ultrafast laser-matter interactions, particularly attosecond pulse generation and their application in imaging electron dynamics. He co-leads a research group with Mette Gaarde, combining atomic/molecular physics with high-performance computing to model processes like high-harmonic generation and ionization dynamics. Dr. Schafer earned his Ph.D. in Physics from the University of Arizona (1989). His research integrates time-dependent Schrödinger and Maxwell equations, emphasizing non-perturbative approaches and collaborations with leading experimental groups. Key areas include attosecond waveform control, charge migration in molecules, and developing computational tools like time-dependent density functional theory (TDDFT). His scientific contributions span over 150 publications, with recent work advancing attosecond transient absorption spectroscopy and the study of electron dynamics in complex molecules. He has pioneered methods to track charge migration using frequency-matched strobo-spectroscopy and contributed to attosecond pulse shaping at free-electron lasers (FERMI). Collaborations include experimental groups at JILA, FERMI, and international institutions, focusing on applications such as imaging core excitons in solids and controlling quantum trajectories. His research bridges theory and experiment, addressing fundamental questions in ultrafast physics while advancing technological tools for attoscience.

Priyank Vijaya Kumarمشاهده پروفایل

مدرس ارشد

• Materials Science
• Plasmonics
• Electrocatalysis
• +۵ مورد دیگر

Dr. Priyank Vijaya Kumar is a Scientia Senior Lecturer in the School of Chemical Engineering at the University of New South Wales (UNSW), Sydney. His research focuses on computational materials design, plasmonic hot-carrier processes, and 2D materials for energy applications. Prior to joining UNSW in 2019, he completed a Marie-Curie Postdoctoral Fellowship at ETH Zurich (2015–2019) and earned his PhD in Materials Science and Engineering from MIT (2010–2015). He holds a B.Tech. in Metallurgical and Materials Engineering from IIT Madras (2006–2010). Research Interests: Dr. Kumar’s work integrates ab initio methods (DFT, TDDFT) to study plasmonic energy transfer, nanomaterial synthesis, and catalytic systems for photocatalysis, CO₂ reduction, and renewable energy. His group emphasizes computational–experimental collaborations to design novel materials for clean energy and environmental applications. Key Contributions: Over 150 peer-reviewed publications since 2011, including high-impact journals like Nature Nanotechnology , Advanced Materials , and Angewandte Chemie . Notable achievements include pioneering studies on plasmon-induced hot-carrier dynamics and liquid-metal-based nanomaterial synthesis. His work on stable Zn anodes and CO₂ electroreduction catalysts has advanced sustainable energy storage and conversion technologies. Awards & Grants: Marie-Curie Fellowship (2015–2017), Shell-TATA MIT Energy Fellowship (2013–2015), MRS Silver Award (2015). Active in securing grants for projects on photocatalytic ammonia synthesis and plasmon-driven reactions. Labs & Teams: Leads the Computational Materials Design Group at UNSW, collaborating with experimentalists globally to bridge theory and application in nanomaterials. His team focuses on AI-driven material discovery and scalable synthesis methods.

• Atomic and Molecular Physics
• Quantum Mechanics
• High-Order Harmonic Generation
• +۱۹ مورد دیگر

Prof. ERDİ ATA BLEDA is a Professor in the Department of Physics at Marmara University, Faculty of Arts and Sciences . He earned his Ph.D. in Physics and Astronomy from Clemson University (2008) and has held academic positions at both Marmara University and Istanbul Arel University. His research spans atomic and molecular physics, computational quantum chemistry, high-order harmonic generation, and machine learning applications in materials science. Doctorate: Clemson University, Physics and Astronomy (2004–2008) Postgraduate: Clemson University (2002–2004) Undergraduate: Marmara University, Physics (1997–2001) His research interests include atomic and molecular interactions , quantum mechanical modeling , nonlinear optical processes , plasma spectroscopy , and machine learning in material properties prediction . He employs computational methods such as DFT, TDDFT, and kinetic Monte Carlo simulations to study molecular systems, confined atoms, and nanostructures. His recent work explores twisted bilayer graphene using machine learning and high-harmonic generation from endofullerenes. The most recent publications reflect a strong trend in computational materials discovery , atomic-scale simulation , and quantum phenomena in confined systems . His work integrates physics, chemistry, and computer science, often with applications in nanotechnology and astrophysics. Themes include dielectronic recombination in plasmas, hydrogen bonding in organic molecules, and electronic structure analysis of novel carbon systems. His scientific awards include: In recognition of passion and dedication to improving student learning with Pearson’s MasteringPhysics (2013) Second Place in Physics Mef National Project Competition (1997) He supervises several graduate and doctoral students, with recent theses on machine learning in 2D nanostructures and parallelization of Green’s function methods. He has led multiple TÜBİTAK-funded research projects integrating GPU computing and quantum modeling. He also serves as the Erasmus Program Institutional Coordinator and has held leadership roles in academic commissions. He has contributed to scientific software development and holds patents in interactive data management systems. He is actively involved in research laboratories and teams focusing on computational physics, quantum chemistry, and high-performance computing. His group collaborates internationally and presents regularly at major physics and quantum chemistry conferences.

Filipp Furcheمشاهده پروفایل

استاد

• Theoretical Chemistry
• Computational Chemistry
• Quantum Mechanics
• +۴ مورد دیگر

Filipp Furche is a Professor of Chemistry at the University of California, Irvine, with a distinguished academic career spanning from 2008 to the present. His work bridges theoretical and computational chemistry with experimental organometallic synthesis, focusing on actinide and lanthanide complexes, redox reactions, and advanced quantum mechanical modeling. PhD, Theoretical Chemistry, University of Karlsruhe (TH), 2002 Diplom, Chemistry, University of Karlsruhe (TH), 1998 Dr. Furche’s research interests include density functional theory (DFT), time-dependent DFT (TDDFT), molecular dynamics simulations, and the study of non-adiabatic processes in photochemistry. His computational work extends to organometallic chemistry, particularly exploring coordination geometries in lanthanide and actinide systems. His recent publications (2024-2025) highlight advancements in Organometallic synthesis (rare-earth and actinide complexes) Quantum-chemical methods for excited states and ionization energies Redox chemistry and ligand effects Development of software tools like TURBOMOLE and Libkrylov Scientific accolades include AAAS Fellowship (2023), Dirac Medal (2013), and the Heinz Maier-Leibnitz Prize (2004). He has contributed to major conferences as Chair of the Gordon Research Conference on Time-Dependent DFT (2011).

Shane M. Parkerمشاهده پروفایل

دانشیار

• Computational Chemistry
• Photochemistry
• Spectroscopy
• +۴ مورد دیگر

Shane M. Parker is an Associate Professor at Case Western Reserve University , specializing in computational and quantum chemistry. His research focuses on developing electronic structure theories to predict photochemical reaction mechanisms and advancing technologies for light-driven chemical synthesis and power generation. Education: B.S. in Chemistry & Mathematics (2008) from the University of Florida; Ph.D. in Chemistry (2014) from Northwestern University; Postdoctoral Fellow (2014–2019) at the University of California, Irvine. His work combines Time-Dependent Density Functional Theory (TDDFT) , surface hopping , and non-adiabatic dynamics to model photochemical processes in molecular materials. Key applications include RNA metabolic labeling , γ-graphyne synthesis , and light-controlled reactions . Recent publications highlight advancements in electronic structure algorithms , ultrafast photodynamics , and carbon nanomaterial characterization . His group actively develops open-source simulation tools for exploratory photochemical research. Professor Parker welcomes postdoctoral, graduate, and undergraduate students to join his research team. Contact him via shane.parker@case.edu . His laboratory collaborates with experimentalists to validate theoretical predictions through spectroscopic measurements and numerical experiments , bridging computational and empirical approaches to solve complex photochemical challenges.