جست‌وجوی استاد و پژوهشگر

Arun Prakashمشاهده پروفایل

پژوهشگر ارشد

• Multiscale Material Modeling
• Nanomechanics
• Small-Scale Plasticity
• +۵ مورد دیگر

Dr. Arun Prakash is a Leading Scientific Staff Member at the Institute for Mechanics and Fluid Dynamics within the Faculty of Mechanical Engineering, Process and Energy Technology at Technische Universität Bergakademie Freiberg. He previously served as a Leading Scientific Staff Member at Friedrich-Alexander-Universität Erlangen-Nürnberg from 2011-2018, where he was also a member of the executive committee for the international Master's program in Advanced Materials and Processes (MAP). His educational background includes: PhD in Computational Micromechanics of Polycrystals from Karlsruhe Institute of Technology (2009-2010) Master's degree in Computational Mechanics in Materials and Structures from University of Stuttgart (2003-2005) Bachelor's degree in Mechanical Engineering from B.M.S. College of Engineering, Bangalore University (1997-2001) Dr. Prakash's research focuses on multiscale material modeling with expertise spanning from atomistic simulations to finite element methods. His work bridges experimental observations with computational approaches, particularly in nanomechanics, small-scale plasticity, and nanomaterials. He has developed sophisticated methodologies for generating realistic microstructures and analyzing material behavior across scales, with applications in metal forming processes, nanowires, and laminated composites. His research often involves advanced computational techniques including machine learning for materials science applications. His publication record demonstrates a consistent focus on multiscale modeling approaches, with recent work emphasizing the integration of machine learning with traditional computational mechanics. His research spans fundamental studies of dislocation mechanisms in magnesium alloys, silica glass deformation, and practical applications in metal forming processes like accumulative roll bonding. The publications reveal a strong emphasis on developing computational tools that bridge the gap between atomistic simulations and continuum mechanics. Notable scientific achievements include: 2017 Best poster award at international CAE conference 'Simulation: The Soul of Industry 4.0' 2016 Teaching award for 'Exercises in Computational Nanoscience' 2010 Werkstoffmechanik-Preis der Plansee-Gruppe (2nd Place) 2009 Best paper award from 'Steel Research International' Dr. Prakash has made significant contributions to open-source scientific software development, creating tools that have become valuable resources for the materials science community. He is an active member of several professional organizations including the Institution of Engineers (India), German Materials Society (DGM), and German University Association (DHV). His laboratory work centers around advanced computational materials science, with significant contributions to open-source software development. He is the co-author of several important tools including OptiMic for generating optimized polycrystalline microstructures, nanoSCULPT for creating complex realistic structures for atomistic simulations, and FE2AT for bridging finite element and atomistic simulations. These tools have been made available to the scientific community as open-source software through GitLab repositories.

Dmitry Aksenovمشاهده پروفایل

استادیار

• Computational Materials Science
• Battery Materials
• Electrode/Electrolyte Interfaces
• +۵ مورد دیگر

Dmitry Aksenov serves as an Assistant Professor at Skolkovo Institute of Science and Technology (Skoltech), leading the computational materials group within the Center for Energy Science and Technology. His research focuses on computational studies of next-generation metal-ion batteries, with emphasis on electrode/electrolyte interfaces and high-throughput materials modeling. He develops specialized software (SIMAN) for automating quantum-mechanical calculations and maintains close collaboration with experimental research teams. His educational background includes: 2006–2011: Specialist in Physics and Engineering from Belgorod State University 2011–2014: Candidate of Sciences in Condensed Matter Physics from Belgorod State University Aksenov's research spans computational materials science with specialization in density functional theory (DFT) and high-throughput screening of battery materials. His work targets fundamental mechanisms at electrode/electrolyte interfaces in Li-ion, Na-ion, K-ion, and Li-air systems, aiming to design stable interfaces with low ionic resistivity. He investigates structure-property relationships to enhance battery safety, lifespan, and energy density through atomic-level simulations of cathode/anode materials, defect chemistry, and ion transport phenomena. His methodology combines DFT calculations with machine learning to accelerate materials discovery. Analysis of his 15 most recent publications (2022–2024) reveals dominant themes in sodium-ion battery cathodes (NaVOPO 4 , NaGaPO 4 F), lithium-ion electrode modifications (NMC, Li-rich systems), and computational reviews of ionic conductivity mechanisms. Key trends include high-throughput screening of NH 4 + -based frameworks, defect engineering in olivine structures, and interfacial phenomena in solid-state batteries. His work consistently bridges computational predictions with experimental validation through extensive collaborations. No scientific awards were documented in the provided materials. Aksenov leads the computational materials group at Skoltech's Center for Energy Science and Technology, directing the SIMAN software development for automated materials calculations. His research is funded through institutional support at Skoltech with strong industry-academia partnerships focused on commercializing battery materials. The group maintains tight integration with experimental teams at Skoltech and international collaborators including Max Planck Institutes. The computational materials group operates within Skoltech's Center for Energy Science and Technology, utilizing high-performance computing resources for large-scale DFT simulations. They specialize in simulating metal-ion battery interfaces and developing machine learning workflows through the SIMAN platform. Current projects focus on designing stable electrolyte formulations and high-capacity electrode materials for next-generation batteries.

• Atomistic Simulation
• Grain Boundary Physics
• Nanoscale Wear Mechanisms
• +۲ مورد دیگر

Dr. Tobias Brink serves as Group Leader of the Atomistic Modelling of Material Interfaces research group at the Max Planck Institute for Iron Research in Düsseldorf, Germany, within the Department of Structure and Nano- / Micromechanics of Materials. His position encompasses leading computational research on material interfaces using atomistic simulation techniques, with direct oversight of research projects and team direction. His academic credentials include: Dipl.-Ing. in Materials Science from TU Darmstadt (2012) Dr.-Ing. (Ph.D.) in Materials Science from TU Darmstadt (2016) Brink's research centers on atomistic modeling of grain boundaries and grain boundary phases (complexions), nanoscale wear mechanisms, and metallic glass mechanics. He employs advanced simulation methods to investigate phase transitions at interfaces, segregation phenomena, and deformation behavior in metals. His work bridges fundamental physics with engineering applications, particularly in understanding how atomic-scale interface structures dictate macroscopic material properties like strength and wear resistance. Current projects focus on modeling grain boundary phases in FCC metals and simulating grain boundary mobility under various conditions. Analysis of his 2021-2025 publications reveals dominant themes in grain boundary physics across aluminum and copper systems, with recurring emphasis on phase transitions, topological defects, and nanoscale wear mechanisms. His research consistently applies atomistic simulations to decode atomic-scale origins of material behavior, showing strong methodological continuity while expanding into new areas like third-body wear dynamics and electrical property correlations. As leader of the Atomistic Modelling group, Brink directs a specialized team focused on computational materials science at the atomic scale. The group maintains strong technical capabilities in molecular dynamics and related simulation techniques, with infrastructure supporting high-performance computing workflows. Their research directly contributes to foundational knowledge in materials interface science while maintaining relevance to industrial applications in metallurgy and tribology.

• Additive Manufacturing
• Computational Mechanics
• Finite Element Analysis
• +۲ مورد دیگر

Prof. Dr.-Ing. Christoph Meier leads the Professorship for Simulation of Additive Manufacturing Processes at Technische Universität München (TUM). His research focuses on computational modeling of additive manufacturing, multiscale mechanics, and advanced finite element methods for complex material behaviors. Position: Professor at TUM Research: Additive Manufacturing, Powder Dynamics, Beam Modeling Methodologies: Finite Element Analysis, SPH Coupling, Multiscale Simulation His work bridges mechanical engineering and materials science, with recent publications covering composite lattice structures , melt-vapor dynamics , and beam-to-surface coupling in additive manufacturing. He develops novel computational frameworks for 3D deformation analysis and molecular interaction modeling in complex systems. Selected article trends show expertise in metal powder spreading techniques (roller-based and blade-based), microstructure prediction for Ti-6Al-4V, and contact mechanics for slender structures. His work also addresses thermal modeling in laser-based processes and biomedical applications like coronary angioplasty simulations.

Patrick Praeglaمشاهده پروفایل

پژوهشگر

• Additive Manufacturing
• Computational Mechanics
• Powder Metallurgy
• +۳ مورد دیگر

Patrick Praegla, M.Sc., is a Research Associate at the Institute for Computational Mechanics within the Department of Mechanical Engineering at the Technical University of Munich (TUM). Working under Prof. Dr.-Ing. Christoph Meier at the Professorship of Simulation for Additive Manufacturing, he contributes to advancing computational methods for metal additive manufacturing processes. His educational background includes a Master of Science in Mechanical Engineering (2020) and a Bachelor of Science in Mechanical Engineering (2018), both from TUM. His research focuses on developing and applying computational models to understand and improve powder-based metal additive manufacturing processes. Praegla's research interests center on the Discrete Element Method (DEM), Smoothed Particle Hydrodynamics (SPH), metal additive manufacturing processes, and the modeling and simulation of powder spreading. His work addresses challenges in cohesive metal powders, complex multiphase flows, thermo-solid-mechanics, and microstructure evolution during additive manufacturing. His publication record shows a consistent research trajectory from 2021 through 2025, with multiple high-impact publications in 2024. His work demonstrates expertise in both experimental validation (using X-ray imaging techniques) and computational modeling (DEM, SPH, thermal simulation) with strong practical applications for improving powder spreading strategies, understanding powder behavior, and developing novel additively manufactured structures with tailored properties. Praegla has contributed to teaching as a tutor for Technical Mechanics I and II during multiple semesters (WS 20/21, SS 21, WS 22/23, SS 23), supporting student learning in fundamental engineering mechanics. As part of the Simulation for Additive Manufacturing team at TUM, he collaborates with researchers across multiple institutions including the Institute for Applied Materials at Karlsruhe Institute of Technology, the Chair for Product Development and Lightweight Design at TUM, and international collaborators from MIT. His research has practical implications for improving the reliability and capabilities of metal additive manufacturing technologies.

• Fluid Dynamics
• Quantum Computing in Fluid Mechanics
• Computational Fluid Dynamics
• +۵ مورد دیگر

Josef Winter is a researcher at the Department of Aerodynamics and Fluid Mechanics within the TUM School of Engineering and Design at the Technical University of Munich. His work focuses on advanced numerical methods for fluid dynamics simulations, integrating quantum computing, machine learning, and Bayesian optimization to enhance computational efficiency and accuracy. University: Technical University of Munich School: TUM School of Engineering and Design Department: Department of Aerodynamics and Fluid Mechanics Academic Rank: Researcher Email: josef.winter@tum.de Dr. Winter's research interests include: Quantum algorithms for fluid dynamics Multi-fidelity and Bayesian optimization techniques High-order numerical methods Level-set-based sharp-interface simulations Deep reinforcement learning for flow optimization Complex flow modeling across scales His publication trends indicate a strong focus on merging quantum computing with classical fluid dynamics simulations, developing adaptive solvers like ALPACA, and optimizing numerical schemes for compressible and multiphase flows. Recent works explore dynamic circuits for quantum lattice-Boltzmann methods and multi-objective optimization frameworks. Dr. Winter's articles cover diverse aspects of fluid mechanics, including: Quantum computing applications in fluid simulation Level-set methods for interface dynamics BAYESIAN OPTIMIZATION OF NUMERICAL SCHEMES Multi-fidelity surrogate models for complex flows High-order methods for conservation laws Deep reinforcement learning for dynamic systems

Ermile Gaganidzeمشاهده پروفایل

پژوهشگر

• Neutron Irradiation Effects
• Microstructure and Mechanical Properties
• Radiation Defect Modeling
• +۳ مورد دیگر

Ermile Gaganidze is a Group Leader at the Karlsruhe Institute of Technology (KIT) within the Mechanics of Materials and Interfaces department. His research focuses on neutron irradiation effects on structural steels and tungsten alloys, modeling irradiation defect nucleation and growth, and developing material databases for fusion applications. Key trends in his publications include neutron irradiation effects on reactor materials, dislocation loop analysis, quantitative microstructure characterization, and multiscale modeling. His work addresses fusion reactor components like ITER specification tungsten and RAFM steels. He actively collaborates in labs such as IAM-MMI Mechanics of Materials and Interfaces, Additive Manufacturing, and Fusion Materials Laboratory. His research contributes to reactor safety and fusion material standards.

• Mechanical Engineering
• Gear Technology
• Automotive Engineering
• +۵ مورد دیگر

Prof. Dr.-Ing. Karsten Schöler is a Professor in the Department of Mechanical Engineering at Fachhochschule Südwestfalen (University of Applied Sciences), specializing in mechanics, gear technology, and automotive component design. He has led the Gear Technology Laboratory in Iserlohn since 2013 and previously held roles in automotive R&D, including leadership positions at Küster Automotive Door Systems and TRW Automotive. His career spans academia and industry, with a focus on bridging theoretical research with practical engineering solutions. Education: Diplom-Ingenieur (Mechanical Engineering, University of Siegen, 1988); PhD (University of Siegen, 1995). His research centers on gear systems , fatigue behavior of materials , and high-temperature deformation , particularly in automotive applications like window regulators and door systems. Publications highlight advancements in superalloys , microstructure analysis , and mechanical testing methodologies . Recent work with co-authors like Fabian Hug explores detent moments in gear systems and efficiency measurements in automotive small gears. His patents address innovations in worm gear units , window regulator assemblies , and adjustable guide rails . Scientific Awards: IHK Siegen Prize (1999) for his dissertation on pre-straining effects in superalloys. He oversees the Gear Technology Laboratory in Iserlohn, collaborating with employees such as Fabian Hug and Jens Henning Dodt. His teaching covers foundational mechanics, gear technology, and advanced courses for bachelor’s and master’s students.

Nico Hempelمشاهده پروفایل

پژوهشگر

• Additive Manufacturing
• Welding
• Materials Science
• +۴ مورد دیگر

Nico Hempel serves as Group Leader of the Material Performance Group within the Chair of Materials Engineering of Additive Manufacturing at the Technical University of Munich (TUM), operating under the TUM School of Engineering and Design. His research centers on advanced manufacturing processes with emphasis on material behavior under thermal and mechanical loads. His primary research domains include: Additive Manufacturing (particularly wire-arc and powder bed fusion) Welding process mechanics Materials Science focusing on metallic systems Mechanical Behavior of Materials under extreme conditions Residual Stress formation and mitigation Fatigue life prediction Thermomechanical Modeling and simulation Recent publications demonstrate consistent focus on process-structure-property relationships in additive manufacturing and welding, utilizing advanced characterization techniques like energy-dispersive X-ray diffraction. His work bridges experimental validation with computational modeling to optimize manufacturing parameters and predict component performance. The Material Performance Group operates within TUM's additive manufacturing ecosystem, contributing to initiatives like TUM.Additive and TUM.Idea, with facilities located at Freisinger Landstraße 52 in Garching bei München.

Thomas Reindlمشاهده پروفایل

پژوهشگر

• Additive Manufacturing
• Materials Engineering
• Welding Technology
• +۳ مورد دیگر

Dr. Thomas Reindl is a Research Scientist at the Chair of Materials Engineering of Additive Manufacturing, affiliated with the TUM School of Engineering and Design at the Technical University of Munich . His work focuses on optimizing additive manufacturing processes through substrate preheating, in situ cooling, and advanced data acquisition systems for welding applications. Research Areas : Additive Manufacturing, Materials Engineering, Welding Technology, Spatio-Temporal Data Analysis Contact : th.reindl@tum.de | +49 (0) 89 289 - 55375

Max Brucheمشاهده پروفایل

استاد

• Corporate Debt Markets
• Corporate Finance
• Financial Intermediation
• +۳ مورد دیگر

Max Bruche is a Professor of Finance at Humboldt University of Berlin. He holds a PhD in Finance from the London School of Economics and earned a BA in Politics, Philosophy and Economics and an MPhil in Economics from Oxford University. His career spans academic roles at institutions including CEMFI in Madrid and Cass Business School in London, alongside visiting positions at Lehman Brothers, the European Central Bank, and the Federal Reserve Bank of New York. His research focuses on corporate debt markets, financial intermediation, and credit risk dynamics. Key themes include debt pricing, creditor coordination, and the interplay between credit cycles and recovery rates. His recent work addresses topics such as dealer funding mechanisms, bank-firm matching, and leveraged loan market behavior. Key Publications: Pipeline Risk in Leveraged Loan Syndication (2020) explores syndication risks and market structure. Debt Maturity and the Liquidity of Secondary Debt Markets (2017) analyzes maturity choices and market liquidity. Deposit Insurance and Money Market Freezes (2010) examines regulatory impacts on financial stability. Bruche has organized major conferences including the Workshop on Corporate Debt Markets and the Conference on Markets and Intermediaries. He has received the FP7 Marie-Curie Career Integration Grant 334382 and actively contributes to policy discussions through affiliations with central banks and financial institutions.

• Chiral Materials
• Organic Optoelectronics
• Chiral Optical Spectroscopies
• +۲ مورد دیگر

Dr. Li Wan is a European Research Council (ERC) funded Principal Investigator at the Max Planck Institute of Microstructure Physics in Halle, Germany. He leads the Chiral Optoelectronics Group , focusing on chiral materials and their applications in optoelectronic devices. Education: PhD in Physics (2020) from Imperial College London , supervised by Profs. Alasdair J. Campbell and Matthew J. Fuchter. Postdoctoral Experience: Worked at Linköping University (2020–2022) and Max Planck Institute of Microstructure Physics (2023–2025) under Prof. Xinliang Feng. Li Wan’s research spans chiral materials , organic optoelectronics , and electronic structure analysis . His work on circularly polarized light emission and perovskite solar cells has achieved international recognition, with publications in high-impact journals like Nature Photonics and Nature Communications . Recent publications highlight trends in chiral optoelectronics , including advancements in hybrid perovskites , excited-state hybridization , and surface lattice engineering for photovoltaics. His group’s work combines experimental and theoretical approaches to optimize material properties for next-generation devices. Li Wan serves as a peer reviewer for journals such as Nature Communications and Angewandte Chemie , and contributes to international research funding evaluations.

• Materials Chemistry
• Nanotechnology
• Chirality
• +۳ مورد دیگر

Dr. Wenhui Niu is a Research Fellow at the Max Planck Institute of Microstructure Physics in Halle, Germany, leading a research group focused on chiral nanographenes and helicenes since 2022. Her work bridges materials chemistry and nanotechnology to develop quantum chiral nanocarbons for advanced optoelectronic applications. Her academic foundation includes: Bachelor's degree in Polymer Engineering from Sichuan University (2016) PhD in Chemistry from Shanghai Jiao Tong University (2021), with collaborative research in Prof. Xinliang Feng's group at Technische Universität Dresden (2017-2020) Dr. Niu specializes in synthesizing high-strained chiral nanographenes and high-order helicenes through innovative structural regulation. Her group maintains in-house chiroptical characterization capabilities to directly correlate molecular architecture with dissymmetric factors and luminescent properties. Key research thrusts include engineering helicene-based systems for amplified circular dichroism, exploring chiral-induced spin selectivity effects, and developing circularly polarized luminescence emitters for next-generation photonic devices. Analysis of her 2019-2023 publications reveals an evolution from fundamental graphene nanoribbon engineering toward targeted chiral nanomaterial design. Early work emphasized solution processability and charge transport, while recent studies focus on chiroptical properties and device integration, demonstrating strategic progression toward functional quantum materials. Her laboratory at the Max Planck Institute features integrated chiroptical characterization infrastructure, enabling comprehensive in-house analysis of circular dichroism and polarized luminescence without external dependencies. This facility accelerates iterative development of novel chiral carbon architectures. As an independent group leader, Dr. Niu directs research strategy and team mentorship, though specific advisees and grant details are not documented in the source material.

• Materials Science
• Mechanics
• Computational Micromechanics
• +۳ مورد دیگر

Alok Mehta is a Scientific Employee at the Institute of Engineering Mathematics, University of Duisburg-Essen, Germany. His research focuses on microstructure modeling of short fiber-reinforced composites, with an emphasis on fiber orientation-length coupling and its impact on mechanical properties. He has previously held positions at Karlsruhe Institute of Technology (KIT) and Rhein-Waal University of Applied Sciences. Education Bachelor in Mechanical Engineering (Design and Simulation), Gujarat Technological University, India (2010–2014) Master in Mechanical Engineering (Design and Simulation, with Material Science), Rhein-Waal University of Applied Sciences, Germany (2015–2020) His work spans computational micromechanics, nonlinear optimization methods, and digital microstructure characterization. Recent publications highlight novel techniques for simulating fiber composites with coupled length and orientation distributions, influencing mechanical and elastic property predictions. At the University of Duisburg-Essen, he teaches courses including Computational Micromechanics and Nonlinear Optimization Methods . His research is supported by collaborations with institutions like Fraunhofer LBF and KIT.

Angelika Humbertمشاهده پروفایل

استاد

• Ice Sheet Modeling
• Polar Glaciology
• Ice Shelf Dynamics
• +۴ مورد دیگر

Professor Angelika Humbert is a distinguished glaciologist at the Alfred Wegener Institute (AWI) for Polar and Marine Research in Germany. Her research focuses on ice sheet dynamics, numerical modeling of ice flow, and the impacts of climate change on polar ice sheets. She plays a key role in advancing our understanding of Greenland and Antarctic ice sheet behavior through sophisticated modeling approaches and field observations. Her research interests center on ice sheet modeling, particularly using the Ice-sheet and Sea-level System Model (ISSM), with emphasis on ice shelf dynamics, fracture mechanics, and the response of ice sheets to climate change. She investigates fundamental processes such as firn densification, ice crystal fabric anisotropy, and the mechanics of ice deformation. Her work bridges theoretical modeling with observational data from satellite and airborne platforms to improve projections of sea level rise. Her recent publications demonstrate a consistent focus on improving ice sheet models, understanding ice dynamics in both Greenland and Antarctica, and investigating the physical processes that govern ice flow and stability. Her research spans multiple approaches including numerical modeling, remote sensing analysis, and field observations, with particular attention to the Northeast Greenland Ice Stream and Antarctic ice shelves like Filchner. Professor Humbert has made significant contributions to large international research initiatives including the Ice Sheet Model Intercomparison Project (ISMIP6), where her modeling work helps inform global sea level rise projections. She has published extensively in high-impact journals on topics ranging from ice sheet modeling techniques to specific analyses of polar ice dynamics. Her work is critical for understanding how polar ice sheets will respond to ongoing climate change and for improving projections of future sea level rise, which has direct implications for coastal communities worldwide.