جست‌وجوی استاد و پژوهشگر

Oksana Chubykalo-Fesenkoمشاهده پروفایل

استاد پژوهشی

• Magnetism
• Magnetic Materials
• Nanomagnetism
• +۴ مورد دیگر

Dr. Oksana Chubykalo-Fesenko serves as a Senior Scientist at the Institute of Materials Science of Madrid, part of the Spanish National Research Council (CSIC) in Madrid, Spain. She leads the Simulation of Magnetic Nanostructured Materials (MAGSIM) research group, contributing significantly to computational approaches in magnetism. Her educational background includes: M.Sc. from Kharkov State University, Ukraine (1986) Ph.D. from Kharkov State University, Ukraine (1990) with thesis on "Soliton scattering by impurities in one-dimensional nonlinear systems" Dr. Chubykalo-Fesenko's research expertise spans: Modeling of hysteresis and dynamics in nanostructured magnetic elements Modeling of ultra-fast laser-induced magnetization dynamics Modeling of magnetic nanoparticles Multiscale modeling of magnetic materials Her international career includes positions at: Clarendon Laboratory, Oxford, UK (1989-1990) Complutense University, Madrid, Spain (1991-1993, 2000-2001) University of Milano, Como, Italy (1994) University of the Basque Country, San Sebastian, Spain (1994-1996) Almaden Research Center, IBM, San Jose, USA (1999-2000) As a Mercator Fellow for TRR227, she contributes to collaborative research on ultrafast spin systems and correlated matter, participating in workshops like the Joint Winter School on Ultrafast Spin Systems.

Christoph T. Kochمشاهده پروفایل

استاد

• Electron Microscopy
• Materials Science
• Condensed Matter Physics
• +۳ مورد دیگر

Christoph T. Koch is a Professor of Physics at Humboldt-Universität zu Berlin, where he has held the W3 Chair since 2015. Previously, he held a similar position at Ulm University (2011–2015), supported by the Carl Zeiss Foundation. His research focuses on advanced electron microscopy techniques, including quantitative transmission electron microscopy (TEM), electron holography, and strain mapping. He leads the AG Strukturforschung/Elektronenmikroskopie group, advancing materials science through innovations in imaging and spectroscopy. Education: B.Sc./M.Sc. in Physics at Heidelberg University (1996–1998), followed by an exchange at Arizona State University (1997–1998). PhD in Physics from Arizona State University (2002, advisor: Prof. John C.H. Spence). Postdoctoral research at the Max Planck Institute for Metals Research, Stuttgart (2002–2011). Research interests include: Electron diffraction and phase retrieval Nanometer-scale strain and defect analysis Electron energy-loss spectroscopy (EELS) for plasmonics and bandgap mapping Development of FAIR data infrastructure for materials science Leadership: Managed the Department of Physics at Humboldt University (2020–2024). Collaborates widely, with key co-authors including P.A. van Aken, W. Sigle, and C. Felser. His work bridges experimental microscopy and computational modeling, addressing challenges in semiconductors, ceramics, and 2D materials. Notable contributions include pioneering methods for 3D reconstruction via electron ptychography, dynamic electron diffraction analysis, and strain mapping in advanced CMOS technologies. Current efforts emphasize real-time imaging and AI-driven data analysis in materials research.

• Theoretical Chemistry
• Computational Chemistry
• Quantum Chemistry
• +۷ مورد دیگر

Frank Neese is the Director and Managing Director (since 2024) of the Max-Planck-Institut für Kohlenforschung in Mülheim an der Ruhr, Germany, where he leads the Department of Molecular Theory and Spectroscopy. He holds honorary professorships at the University of Bonn (since 2013) and the University of Duisburg-Essen (since 2020), reflecting his strong academic affiliations. His research program bridges theoretical chemistry, quantum mechanics, and spectroscopy with applications in bioinorganic and materials chemistry. Education: Diploma in Biology, University of Konstanz (1993) Ph.D. (Dr. rer. nat.), University of Konstanz (1997) Postdoctoral Research, Stanford University (1997–1999) Habilitation, Universität Konstanz (2001) Frank Neese's research focuses on the development and application of advanced quantum chemical methods for understanding molecular electronic structures, particularly in transition metal complexes and metalloenzymes. His work emphasizes spectroscopic simulations (EPR, XAS, MCD, etc.) and reaction mechanisms in catalysis. He is renowned as the lead developer of the ORCA quantum chemistry software, a widely used tool in computational chemistry. His theoretical frameworks integrate density functional theory, wavefunction-based methods, and multiscale modeling to achieve high accuracy in predicting chemical properties. The 15 most recent publications highlight a consistent trajectory in electronic structure theory, with strong emphasis on spectroscopy, transition metal chemistry, and method development. Key themes include double-hybrid functionals, spin-state energetics, spin-orbit coupling, and QM/MM modeling of biological systems. The interdisciplinary nature of his work spans chemistry, biochemistry, and materials science, often targeting challenges in catalysis and energy conversion. Scientific Awards: Gottfried Wilhelm Leibniz Prize (2023) Humboldt Research Award ISACS Award Fellow of the Royal Society of Chemistry Member of the North Rhine-Westphalian Academy of Sciences Member of the Leopoldina Neese has secured extensive third-party funding for his research, enabling a large, interdisciplinary team of scientists and students. He actively mentors PhD and postdoctoral researchers, fostering the next generation of theoretical chemists. His leadership extends to official functions in scientific societies and editorial roles in major chemistry journals. The ORCA development team, which he heads, is a central hub for innovation in computational chemistry software. He leads a vibrant research group focused on method development and applications in molecular spectroscopy and reactivity. The team collaborates internationally and organizes the ORCA User Meeting, fostering a global community of users and developers in quantum chemistry.

• Transmission Electron Microscopy (TEM) Method Development
• Charge Particle Optics and Scattering Theory
• Magnetic Nanotextures
• +۳ مورد دیگر

Dr. Axel Lubk is a Group Leader at the Institute for Solid State Research (IFW Dresden) , specializing in advanced electron microscopy techniques for materials science. His research spans four key areas: (1) TEM method development (high-resolution imaging, tomography, holography, and in-situ techniques), (2) charge particle optics and scattering theory , (3) magnetic nanotextures (domain walls, skyrmions), and (4) plasmonics (mode hybridization in heterogeneous structures and semiconductor heterostructures). Dr. Lubk’s work focuses on three-dimensional magnetic texture analysis using electron holography and tomography, particularly in systems like skyrmion tubes , FeGe , and Cr2O3 thin films . He has pioneered techniques for vector-field electron tomography and phase retrieval under varying boundary conditions, advancing nanoscale magnetic imaging. His recent studies include plasmonic properties in AgAu nanosphere chains , thermoelectric multilayer systems , and topological insulators like NiRh2Sb and TaTMTe4 . Dr. Lubk has published extensively in high-impact journals such as Nature Communications and Advanced Materials , with a focus on TEM instrumentation and quantitative analysis . He frequently presents at international conferences like the International Microscopy Congress and European School of Magnetism , emphasizing applications in spintronics , quantum materials , and nanostructured systems . His contributions to holographic vector-field electron tomography and machine learning for spectrum-image data have set new standards in electron microscopy.

Barbara Wohlmuthمشاهده پروفایل

استاد

• Numerical Simulation
• Partial Differential Equations
• Discretization Techniques
• +۴ مورد دیگر

Prof. Barbara Wohlmuth is a full professor in Numerical Mathematics at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. She leads the International Graduate School of Science and Engineering at TUM and has held professorships at Stuttgart, Darmstadt, and Berlin universities. Her research focuses on numerical simulation of partial differential equations, multiscale solvers, and coupled multi-field problems with applications in engineering. Education: Studied mathematics at TUM and Université Joseph Fourier in Grenoble, received her doctorate from TUM in 1995, and completed habilitation in Augsburg. Visiting professorships in USA, France, and Hong Kong. Research interests include discretization techniques, predictive modeling, and interdisciplinary collaboration with engineering disciplines. Notable achievements: 2012 Gottfried Wilhelm Leibniz Prize (Germany’s highest academic honor in sciences), 2005 Sacchi-Landriani Prize. Publications emphasize advanced numerical methods in fluid dynamics, geophysics, and biomedical engineering. Active in editorial roles for international journals and scientific committees across Europe and USA. Elected member of Bavarian and European Academies of Sciences. Key contributions include: Development of robust numerical algorithms for exascale simulations Pioneering work in coupled multi-physics modeling Innovative methods for computational contact mechanics Leadership in graduate education initiatives

Benjamin Stammمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• High-Performance Computing (HPC)
• +۷ مورد دیگر

Prof. Benjamin Stamm is a Professor of Numerical Mathematics at the University of Stuttgart, leading the Chair of Numerical Mathematics for High Performance Computing within Faculty 08. He holds a Ph.D. and master's degree in mathematics from École Polytechnique Fédérale de Lausanne (EPFL) and has previously worked at RWTH Aachen University, Sorbonne Université UPMC Paris 6, UC Berkeley, and Brown University. His research focuses on numerical analysis, scientific computing, and simulations, particularly efficient discretizations for PDEs, eigenvalue problems, error certification, reduced basis methods, and HPC implementations. He develops scalable numerical methods for problems in computational chemistry and physics, emphasizing accuracy, efficiency, and interdisciplinary collaboration with chemists, physicists, and materials scientists. Prof. Stamm’s work includes contributions to domain decomposition methods, polarization energy calculations, and software development like the ddX library. His publications span topics such as model order reduction, quantum simulations, and molecular dynamics. Collaborations and software tools underscore his commitment to bridging computational methods with real-world scientific challenges.

Benjamin Klusemannمشاهده پروفایل

استاد

• Mechanics
• Process Simulation
• Material Modeling
• +۳ مورد دیگر

Benjamin Klusemann is Professor of Materials Mechanics at the Institute for Production Engineering and Systems, Leuphana University of Lüneburg. He holds leadership positions including Chairman of the School of Management and Technology (2024), Chairman of the Masterprogramme, and Chairman of the Graduate School (since 2017), demonstrating his significant academic standing and administrative responsibilities within the university. His research spans multiple engineering disciplines with a strong focus on mechanics, process simulation, and material modeling. Professor Klusemann specializes in continuum mechanics and the finite element method, applying computational approaches to solve complex problems in materials science and manufacturing engineering. His work bridges theoretical modeling with practical applications in advanced manufacturing processes, particularly in friction-based joining techniques and material behavior analysis. Professor Klusemann's extensive publication record (224 publications) reveals a consistent research trajectory focused on advanced manufacturing techniques, particularly friction-based joining processes, material modeling, and simulation. His recent work emphasizes laser shock peening applications, intermetallic compound evolution in solid-state joining, and the mechanical behavior of nanocrystalline materials. His research demonstrates a strong interdisciplinary approach combining materials science, mechanical engineering, and computational modeling to address industrial challenges in lightweight materials processing. His notable scientific achievements include: Professor O.C.Zienkiewicz Award NUMIFORM 2023 Auszeichnung für herausragende Leistungen in der Forschung (Recognition for outstanding research achievements) ESAFORM Scientific Prize Professor Klusemann actively contributes to academic governance and the international research community. He has organized and participated in numerous conferences including ESAFORM, GAMM meetings, and specialized workshops on computational mechanics. His leadership extends to research projects focused on aluminum processing, material flow analysis, and data-driven design of recycled materials, demonstrating his commitment to both fundamental research and practical applications in manufacturing technology.

• Biomedical Engineering
• Computational Biology
• Cardiovascular Systems
• +۳ مورد دیگر

Michael Neidlin is a Senior Researcher in the Department of Cardiovascular Engineering at the Helmholtz-Institute for Biomedical Engineering , RWTH Aachen University. His work focuses on numerical modeling of biological systems for cardiovascular and cardiopulmonary applications. Current Position: Oberingenieur (Senior Engineer), Modeling & Simulation Research Field (2020–present) Past Positions: Postdoctoral Fellow at National Technical University of Athens and Universitat Pompeu Fabra (2017–2020) Education: Dr. rer. medic. (2013–2016) and M.Sc./B.Sc. in Mechanical Engineering (RWTH Aachen) His research spans continuum biomechanics , systems-level modeling , and data-driven approaches to develop translational models for clinical and industrial applications. He specializes in: Multiscale modeling of cardiovascular hemodynamics In-silico evaluation of ventricular assist devices (LVADs) Computational tools for osteoarthritis drug screening Fluid-structure interaction studies in cardiopulmonary bypass

Mira Schedensackمشاهده پروفایل

استادیار

• Numerical Analysis
• Machine Learning
• Scientific Computing
• +۳ مورد دیگر

JProf. Dr. Mira Schedensack is a faculty member at the Institute for Analysis and Numerics within the Department of Mathematics and Computer Science , University of Münster. Her expertise lies in Numerical Analysis, Machine Learning, and Scientific Computing , with a focus on finite element methods and numerical solutions for partial differential equations. Research Interests: Numerical methods for PDEs, mixed finite element formulations, adaptive algorithms, and thermo-optical interactions in computational physics. Teaching: Offers courses in Numerical Partial Differential Equations and Adaptive Finite Element Methods. Students: Mentors doctoral student Jonas Ketteler . Publications: Key contributions to non-conforming FEM, Stokes equations, and gradient elasticity.

Joscha Gedickeمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mathematics
• Finite Element Methods
• +۳ مورد دیگر

Joscha Gedicke is a Professor at the Institute for Numerical Simulation (University of Bonn), specializing in Numerical Analysis , Finite Element Methods , and Scientific Computing . His research focuses on adaptive algorithms, error estimation, and computational methods for partial differential equations (PDEs) and optimal control problems. Contact: gedicke@ins.uni-bonn.de | +49 228 73-69835 Teaching: Lectures on Hybrid High-Order Methods (V5E1), Adaptive Finite Element Methods (S4E1), and Discontinuous Galerkin Methods (V5E5). Research Trends: Gedicke's work spans Numerical Methods for PDEs , Adaptive Finite Element Analysis , Mixed and Discontinuous Galerkin Formulations , and Error Estimation . His recent publications emphasize Virtual Element Methods and Robust Discretizations for magnetostatic and optimal control problems. Collaborative Networks: He collaborates with researchers in computational mathematics, including institutions like TU Munich, University of Milano-Bicocca, and the University of Bonn's research seminar on Mathematics of Computation .

• Textile Engineering
• Composite Materials
• Sustainable Textiles
• +۳ مورد دیگر

Thomas Gries is a Professor at RWTH Aachen University 's Department of Textile Technology . He serves as the Director of the university's textile machinery department, leading research in composite materials, sustainable textiles, and advanced manufacturing technologies. Current Role: University Professor & Director, Chair of Textile Machinery Research Focus: Textile engineering, carbon fiber composites, sustainable manufacturing, digital twins His work spans experimental studies on fiber-reinforced composites, AI-driven process optimization, and lunar regolith-based fiber production for space applications. Collaborations include public research projects with industrial partners and events like the WIRKTag 2025 on AI in work design. Recent publications analyze: Mechanical behavior of natural/synthetic fiber composites Recycled thermoplastic composite thermoforming 3D-woven CFRP structural optimization Moon-based fiber production from lunar materials Environmental impact assessment tools for textiles

Michael Ortizمشاهده پروفایل

استاد

• Cardiac Mechanics
• Computational Mechanics
• Biomedical Engineering
• +۳ مورد دیگر

Michael Ortiz is the Dotty and Dick Hayman Professor of Aeronautics and Mechanical Engineering at the California Institute of Technology (Caltech). He holds the Hans Fischer Senior Fellowship at the Technical University of Munich's Institute for Advanced Study (TUM-IAS) since 2010. His research focuses on developing the Advanced Cardiac Mechanics Emulator (ACME) to model human heart function in healthy and diseased states. He has a BS from the Polytechnic University of Madrid, and MS/PhD from UC Berkeley. Previously, he was at Brown University (1984–1995). Professor Ortiz leads Caltech’s DoE/PSAAP Center on High-Energy Density Dynamics of Materials. His honors include the IUTAM Rodney Hill Prize (2008), election to the American Academy of Arts & Sciences (2007), and Humboldt Research Award (2002). He has advised national labs like Lawrence Livermore and Sandia on predictive science and engineering review panels. His work spans computational mechanics, materials science, and multiscale modeling. Recent research emphasizes cardiac biomechanics, fracture mechanics, and quantum materials simulations. Over 100 highly cited papers showcase contributions to meshfree methods, variational fracture, and orbital-free DFT.

Olfa Lopez-D’Angeloمشاهده پروفایل

پژوهشگر

• Granular Rheology
• Additive Manufacturing
• Space Technology
• +۳ مورد دیگر

Dr. Olfa Lopez-D’Angelo is a researcher at the Department of Multiscale Simulation of Particulate Systems at Friedrich-Alexander-Universität Erlangen-Nürnberg. Her research focuses on granular rheology, additive manufacturing for space applications, and the behavior of materials under microgravity conditions. She leads the Rheologie granularer Materialien unter Weltraumbedingungen project (2023–2026), funded by the German Ministry for Economic Affairs and Climate Action (BMWK). Her work bridges theoretical physics, experimental engineering, and space technology. Key research interests include granular fluid dynamics, powder-based manufacturing processes in low-gravity environments, and the structural analysis of metamaterials. She has contributed to pioneering studies on acoustically propelled macroparticles and granular piston-probing in microgravity. Her interdisciplinary approach is evident in collaborations with institutions like ESA and DLR, as well as her involvement in projects such as the VIP-DROP2 module for droplet dynamics experiments. Awards: Granular Matter Gordon Research Conference Poster Prize (2022) ELGRA Research Prize (2021) Fly Your Thesis! 2019 (2018) ESA Networking/Partnering Initiative Fellowship (2017) Dr. Lopez-D’Angelo actively disseminates her work through international conferences (e.g., DPG, IAC) and public engagement initiatives, including the podcast Talk That Science . Her research emphasizes practical applications in space exploration, such as in-situ resource utilization and advanced manufacturing systems for extraterrestrial environments.

Andrea Barthمشاهده پروفایل

استاد

• Stochastic Partial Differential Equations
• Uncertainty Quantification
• Monte Carlo Methods
• +۴ مورد دیگر

Andrea Barth is a W3-Professor of Computational Methods for Uncertainty Quantification at the University of Stuttgart, leading the Research Group for Computational Methods for Uncertainty Quantification within the Excellence Cluster for Simulation Technology. She holds a Ph.D. from the University of Oslo (2009) and has held positions at ETH Zürich and the University of Stuttgart. Her work focuses on stochastic partial differential equations, numerical methods for uncertainty quantification, and applications in engineering and natural sciences. Education: Ph.D. in Mathematics, University of Oslo (2006–2009) Lecturer/Postdoc at ETH Zürich (2010–2013) Junior Professor at University of Stuttgart (2013–2017) Research Interests: Stochastic PDEs, uncertainty quantification, Monte Carlo methods, Bayesian inverse problems, and numerical analysis of random fields. Her work bridges stochastic analysis and numerical simulations, addressing challenges in modeling and simulating complex systems with uncertainties. Grants & Funding: Principal Investigator in projects like 'Data-Integrated Simulation Science' (ExC 2075) and 'Quantitative Methods for Visual Computing' (SFB/TRR 161). Her research also explores applications in porous media, carbon dioxide storage, and optical flow analysis. Supervision: Advised PhD students including Oliver König, Fabio Musco, and Robin Merkle. Current students focus on topics like deep learning for stochastic PDEs and continuous level Monte Carlo methods.

• statistical physics
• computational physics
• soft matter
• +۵ مورد دیگر

Kurt Kremer serves as Director and Scientific Member of the Theory Department at the Max Planck Institute for Polymer Research (MPI-P) in Mainz, Germany, a position he has held since 1995. His leadership oversees a multidisciplinary research group focused on computational soft matter physics, with close collaboration from senior scientists including Dr. D. Andrienko, PD Dr. Kostas Daoulas, and Dr. R. Cortes-Huerto. His research spans statistical physics , computational methods , and multiscale modeling of soft matter systems, with emphasis on polymers, biopolymers, membranes, organic electronics, and glassy dynamics. The group develops advanced simulation techniques like adaptive resolution methods and coarse-grained modeling to study structure-process-property relationships in synthetic and biological materials. Analysis of his co-authored publications (2015–2019) reveals dominant trends in free energy calculations , finite-size effects in simulations , and mesoscale self-assembly phenomena , particularly in conjugated polymers and nematic systems. Keywords consistently include computational physics, thermodynamics, and polymer science with subfields spanning adaptive resolution frameworks, solvation thermodynamics, and charge transport mechanisms. Key recognition includes membership in the German National Academy of Sciences (Leopoldina). Notable alumni from his research group include Prof. B. Baumeier (TU Eindhoven) and Prof. D. Donadio (UC Davis), who have established independent careers in biophysics and materials science. Kremer mentors a team of senior scientists and postdoctoral researchers, driving projects funded through Max Planck Society resources and collaborative grants. Current work emphasizes bridging atomistic simulations with continuum models for organic electronic materials and nonequilibrium molecular dynamics.