جست‌وجوی استاد و پژوهشگر

Andreas Heuerمشاهده پروفایل

استاد

• Theoretical Physical Chemistry
• Polymer Electrolytes
• Ionic Liquids
• +۷ مورد دیگر

Prof. Dr. Andreas Heuer is a leading theoretical physical chemist at the University of Münster , holding the W3 Professorship for "Theory of Complex Systems" since 2012. As a full member of the Helmholtz Institute Münster (HIMS) and former Dean of Chemistry and Pharmacy (2014-2016), he bridges fundamental research and applied energy storage solutions. Key research areas include polymer electrolytes, glass-forming liquids, lipid membranes, and ion transport in batteries Develops multiscale simulation frameworks connecting molecular dynamics to macroscopic behavior Active in science communication and teaching excellence (2014 Goldener Brendel award) Research Themes: His work on polymer electrolytes reveals lithium ion transport mechanisms through segmental dynamics (τ2 reduction with ionic liquid additives). In lipid membrane studies , he demonstrates cholesterol's structural role in raft formation using coarse-grained models. His glass transition analysis via potential energy landscapes explains dynamic heterogeneities and fragility-to-strong crossovers. Scientific Leadership: • Coordinates BATTERY 2030+ European roadmap for next-gen battery research • Chairs multiple supervisory boards and commissions • Develops reactive molecular dynamics methodology ( rs@md ) Awards & Collaborations: Feodor-Lynen Stipend (post-PhD international phase) Stiftung des Deutschen Volkes member (early career recognition) Collaborates with experimental groups on SEI formation, membrane proteins, and organic electronics

Jan van den Hurkمشاهده پروفایل

استاد

• Resistive Random-Access Memory (ReRAM)
• Memristive Devices
• Electrochemical Metallization Memory (ECM)
• +۳ مورد دیگر

Dr. Jan van den Hurk serves as Professor and Deputy Head of the Department of Electronic Devices at RWTH Aachen University, Germany, with his office located in room B2.02 at Campus Boulevard 53, 52074 Aachen. His research focuses on resistive memory technologies , particularly Resistive Random-Access Memory (ReRAM) and Electrochemical Metallization Memory (ECM), investigating fundamental switching mechanisms in materials like germanium sulphide. His work spans atomic-scale interface interactions , filament dynamics , and device physics for next-generation non-volatile memory. Key contributions include understanding redox reactions in Ta 2 O 5 interfaces, volatile resistance states for non-destructive readout, and nanobatteries requiring memristor theory extensions. His research bridges fundamental electrochemistry and practical circuit design for hybrid CMOS/nanoelectronic architectures. Analysis of his 15 most recent publications (2012-2018) reveals consistent focus on germanium sulphide-based systems , complementary resistive switching , and in situ characterization techniques . The work demonstrates strong integration of materials synthesis , device fabrication , and theoretical modeling to address reliability challenges in memristive devices. Scientific awards: No scientific awards mentioned in source materials Advising and grants: No student advisees or grant funding details provided Dr. van den Hurk operates within the eLab facility of the Department of Electronic Devices, which specializes in thin-film deposition (including custom sputtering units for synchrotron radiation studies) and nanoscale device characterization. His team develops experimental setups for in situ analysis of memory cell formation processes and explores material systems for neuromorphic computing applications.

Yujiao Liمشاهده پروفایل

پژوهشگر

• Materials Science
• Metallurgy
• Nanomaterials
• +۳ مورد دیگر

Dr. Yujiao Li is a ZGH Scientist at the Ruhr-Universität Bochum (RUB), affiliated with the Department of Microstructure Physics and Alloy Design. She holds a PhD in Materials Science from Friedrich-Alexander-Universität Erlangen-Nürnberg (2006) and has extensive experience across academic and industrial roles, including research at the Max-Planck Institute for Eisenforschung and Georg-August-Universität Göttingen. Her research focuses on atomic-scale investigations of microstructure evolution in advanced materials, particularly in high entropy alloys, nanocrystalline steels, and interface-dominated systems. Key areas include phase stability, grain boundary segregation, and mechanical property optimization. Dr. Li has contributed to breakthroughs in understanding white etching area formation in bearings, oxidation kinetics of complex alloys, and the development of ultrastrong nanocrystalline materials. She leads projects in the ZGH Center, leveraging advanced characterization techniques like atom probe tomography and high-throughput experimentation. Education: PhD in Materials Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (2006) MSc in Metal Forming, Xi’an University of Architecture & Technology (1996) BSc in Metal Forming, Xi’an Institute of Metallurgy & Construction Engineering (1993) Labs/Teams: Part of the ZGH Center for Interface-Dominated High Performance Materials, collaborating with core facilities in atomic-scale characterization and surface analysis. Active in the Max-Planck-Gesellschaft research network.

Sven Carsten Langeمشاهده پروفایل

استاد

• Manufacturing Processes
• Machine Tools and Production Machinery
• Automation and Assembly Technology
• +۵ مورد دیگر

Prof. Dr.-Ing. Sven Carsten Lange is a Professor at the University of Applied Sciences Emden/Leer, affiliated with the Department of Mechanical Engineering. His research focuses on advanced manufacturing processes, automation technologies, and human-machine interaction systems. Key areas include voice-controlled automation, lean production optimization, and international dual education programs. His research interests span: - Voice command integration in industrial production - Production workflow efficiency analysis - Hybrid manufacturing systems - Global dual education models for engineering - Ultra-precision machining techniques - Automation safety and human factors Recent work emphasizes voice control systems' role in future production halls, exploring: - Real-time process optimization - Human-motion efficiency improvements - Acoustic signal processing for industrial settings He has contributed to international conferences and journals, authoring over 50 publications since 2001. His work bridges academic research with industry applications, particularly in aerospace, automotive, and medical technology sectors. Professional roles include: - Co-founder of the 'Audiotechnologie für die intelligente Produktion' working group - Board member of VDI local chapters - Editorial board member for AOHER journal His research program emphasizes: - International education collaboration (China/Germany) - SME automation solutions - Cross-disciplinary production innovation

Oleg Sobchukمشاهده پروفایل

پژوهشگر

• Cultural Evolution
• Arts
• Literature
• +۴ مورد دیگر

Oleg Sobchuk is a postdoctoral researcher at the Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. He previously worked at the Max Planck Institute for the Science of Human History (now Max Planck Institute for Geoanthropology) in Jena, Germany from 2018 to 2023. Sobchuk studies the cultural evolution of arts, focusing on long-term patterns in the history of literature, film, and music. His research employs large digital libraries and artistic datasets (such as IMDb or Spotify), statistical models, and text mining techniques to analyze how artistic forms evolve over time. His work addresses fundamental questions including whether films have become more complex during the 20th century, if phylogenetic trees adequately model literary evolution, and what makes certain artworks 'canonical' and persistent throughout history. His research interests span across cultural evolution, digital humanities, and quantitative analysis of artistic traditions. He has published extensively on topics including literary and film evolution, cultural attraction mechanisms, and computational approaches to thematic analysis in fiction. His methodological approach combines large-scale data analysis with theoretical frameworks from evolutionary theory to uncover patterns in artistic production and transmission across generations. Sobchuk's scientific contributions reveal significant trends in cultural evolution, particularly regarding how artistic forms innovate, transmit, and persist over time. His work on first-mover advantage in music genres and the evolution of literature demonstrates how quantitative methods can illuminate previously obscured historical patterns in artistic development. As a collaborator, Sobchuk works with researchers like Olivier Morin and Bret Beheim, contributing to interdisciplinary projects that bridge humanities scholarship with computational science. His research represents an important contribution to building what he describes as 'a theory-driven quantitative history of culture.'

Justus Neumannمشاهده پروفایل

پژوهشگر

• Galaxy Evolution
• Observational Astronomy
• Stellar Populations
• +۳ مورد دیگر

Justus Neumann is an observational astronomer and postdoc in the Galaxy and Cosmology Department at the Max Planck Institute for Astronomy (MPIA) in Heidelberg, Germany. He works within the Extragalactic Star Formation group led by Dr. Eva Schinnerer, focusing on galaxy evolution and the role of galactic structures in shaping cosmic systems. Current Position: Postdoc at MPIA Research Focus: Barred galaxies, star formation, IFU observations Institutional Affiliation: Max Planck Institute for Astronomy Collaborations: PHANGS, MaNGA, TIMER surveys Neumann's research examines how galactic structures like bars and spirals influence the distribution of stars and gas, driving chemical evolution and star formation. His work utilizes advanced integral-field unit (IFU) observations to analyze barred galaxies, uncovering links between bar dynamics and stellar populations across cosmic time. Recent publications highlight his contributions to understanding azimuthal stellar population variations, gravitational torques in active galaxies, and molecular gas fraction drivers. Collaborative efforts span projects like PHANGS-JWST, MaNGA, and TIMER, with a focus on high-resolution astrophysical data. His affiliations include the Extragalactic Star Formation group at MPIA, where he contributes to analyzing galactic dynamics and star-forming processes using multi-wavelength observations.

• Educational Technology
• Collaborative Learning
• Science Education
• +۳ مورد دیگر

Sadhana Puntambekar is a prominent academic researcher in the field of educational technology and collaborative learning. Her work focuses on understanding and enhancing learning processes through technology integration, particularly in science and inquiry-based education. She has contributed extensively to the design of collaborative learning environments, automated assessment tools, and AI-driven educational systems. Her research spans topics such as collaborative learning dynamics, student-teacher interactions, and the role of physical/virtual models in science education. Notably, she has explored the impact of prior knowledge on collaborative outcomes and the development of frameworks for teacher support in educational technology adoption. Dr. Puntambekar has co-edited major conference proceedings, including the 10th International Conference on Computer-Supported Collaborative Learning (CSCL 2013), and has collaborated with institutions globally. Her recent work integrates large language models (LLMs) into educational tools, emphasizing ethical and responsible AI applications in learning environments. Publications highlight her exploration of AI in education, automated formative assessment, and the design of interactive learning systems for physics and biology. Her contributions bridge theory and practice, aiming to improve educational outcomes through innovative technology solutions.

Fabian Duddeckمشاهده پروفایل

استاد

• Computational Mechanics
• Structural Optimization
• Crashworthiness Design
• +۶ مورد دیگر

Prof. Dr.-Ing. Fabian Duddeck is a Professor of Computational Mechanics at the Technical University of Munich (TUM), affiliated with the TUM School of Engineering and Design. His research focuses on numerical methods for structural simulation and optimization, including topology optimization for crashworthiness, material modeling for composites/biomaterials, and uncertainty quantification in multi-physics systems. He holds a Dr.-Ing. and Habilitation from TUM, with prior roles at BMW Group, Queen Mary University of London, and École des Ponts ParisTech. His work bridges academia and industry, addressing challenges in automotive and aerospace design. Education: Diplom (Civil Engineering, TUM 1990), Dr.-Ing. (Mechanics, TUM 1997), Habilitation (TUM 2002) Research Interests: Crash simulation optimization, composite materials, nonlinear dynamics, and uncertainty-aware design methodologies Scientific awards include the Spindler Award (1991). Over 50+ students have graduated under his supervision, with notable works in crashworthiness, composite structures, and multi-fidelity optimization. His lab collaborates internationally, integrating advanced algorithms with industrial applications.

Lisa Scheunemannمشاهده پروفایل

استادیار

• Computational Mechanics
• Multiscale Modeling
• Finite Element Method
• +۹ مورد دیگر

Dr.-Ing. Lisa Scheunemann is an academic faculty member at the Institute of Mechanics, Department of Civil Engineering, Faculty of Engineering Sciences, University of Duisburg-Essen, Germany, holding the position of Akademische Rätin a.Z. She has been actively contributing to research and teaching since completing her doctorate in 2017. Research Interests: Her research focuses on advanced computational methods in solid mechanics, particularly multiscale modeling of heterogeneous materials. Key areas include the construction of statistically similar representative volume elements (RVEs) for dual-phase steels, finite element formulations for coupled micro-macro transitions, crystal plasticity modeling using the infeasible primal-dual interior point method, and the analysis of residual stresses in thermo-mechanically processed materials. Her work bridges theoretical mechanics, numerical simulation, and materials engineering. Publication Trends: Her recent publications (2019–2021) emphasize numerical algorithms for crystal plasticity, model order reduction, residual stress prediction in manufacturing, and high-performance computing applications in materials simulation. The research consistently applies computational mechanics to solve complex problems in material behavior and industrial processes. Scientific Recognition: Appointed member of GAMM Juniors (since 2019) Academic Advising and Research: She has supervised multiple master's and bachelor’s theses on topics related to computational mechanics, FEM, homogenization, and microstructure modeling. Her research is collaborative, involving projects on residual stress analysis and multiscale simulation, often in partnership with other institutions and industry-relevant engineering problems. Laboratories and Research Groups: She is affiliated with the Institute of Mechanics and participates in research initiatives such as the EXASTEEL project, which aims to create a virtual laboratory for multiscale steel simulation using high-performance computing. She is also associated with the Seminar for Numerical Mathematics and Mechanics (SNMM).

Liu Chuanlaiمشاهده پروفایل

پژوهشگر

• Computational Materials Science
• Energy Storage Materials
• Microstructure Physics
• +۵ مورد دیگر

Liu Chuanlai is a computational materials scientist with dual affiliations at the Max Planck Institute for Sustainable Materials (formerly Max Planck Institute for Iron Research) in Germany and the National Engineering Research Center of Light Alloy Net Forming at Shanghai Jiao Tong University in China. His research focuses on the development and application of advanced computational methods to understand and design energy storage materials and structural alloys. His primary research interests include computational materials science, microstructure physics, alloy design, phase-field modeling, crystal plasticity, and solid-state battery materials. Liu employs multi-scale modeling approaches combining phase-field methods, crystal plasticity, and CALPHAD-informed thermodynamics to investigate phenomena such as spinodal decomposition, deformation twinning, grain boundary precipitation, and chemo-mechanical degradation in various alloy systems including aluminum, magnesium, and battery electrode materials. Analysis of his recent publications reveals a strong emphasis on multi-physics modeling of microstructural evolution in metallic systems, particularly focusing on the interplay between chemo-mechanical effects and microstructural features. His work often combines advanced computational techniques with experimental validation through collaborations with leading materials research groups worldwide. Liu has established productive research collaborations with prominent scientists including Dierk Raabe, Franz Roters, and other members of the Max Planck research community. His publications appear in top-tier materials science journals such as Nature Communications, Acta Materialia, and Advanced Science, demonstrating the high impact of his research in the computational materials science community.

David Stielerمشاهده پروفایل

پژوهشگر

• Agent-Based Modeling
• Modular Precast Concrete Construction
• Combinatorial Optimization
• +۳ مورد دیگر

David Stieler is a Research Associate at the Institute of Computational Design and Construction (ICD) at the University of Stuttgart. His work focuses on agent-based modeling and modular precast concrete construction , particularly through the Cluster of Excellence IntCDC . Education: Dipl.-Ing. in Architecture, University of Innsbruck, Austria Research Interests include: Combinatorial optimization for component reuse Additive manufacturing in construction Agent-based systems for fabrication-aware design Sustainable, low-carbon building strategies Flow production methods for modularization Scientific Contributions span computational frameworks for circular construction, optimization algorithms for reinforced concrete reuse, and digital workflows for earth-textile hybrid systems. Awards : Dean's Prize of the Faculty of Architecture (University of Innsbruck)

Xijie Wangمشاهده پروفایل

استاد

• Condensed Matter Physics
• Materials Science
• Ultrafast Phenomena
• +۳ مورد دیگر

Xijie Wang is a Professor at the University of Duisburg-Essen, affiliated with Collaborative Research Centre 1242. His research focuses on Ultrafast structural dynamics in nanomaterials Laser-induced phase transitions X-ray diffraction techniques He investigates atomic-scale relaxation processes, non-equilibrium energy flows, and femtosecond laser interactions with thin films and nanoparticles. Recent publications highlight his work on Ultrafast melting pathways in polycrystalline materials Quantum carrier dynamics in Bismuth Terahertz birefringence in anisotropic semimetals His team employs advanced x-ray spectroscopy and simulation methods to study nanoscale phenomena. Collaborations span institutions including Stanford University (via co-author affiliations) and research centers specializing in ultrafast x-ray sources. Ongoing projects examine structural decomposition in laser-ablated materials and element-specific lattice dynamics in magnetic nanoparticles.

Marco Viebachمشاهده پروفایل

پژوهشگر

• Nuclear Reactor Physics
• Neutron Noise Analysis
• Nuclear Safety Systems
• +۴ مورد دیگر

Dr. Marco Viebach serves as a Research Associate and leader of the Junior Research Group NAUTILUS at the Chair of Hydrogen and Nuclear Energy within the Institute of Process Engineering and Environmental Technology at Technical University of Dresden. His primary affiliation spans since November 2013 with promotion to group leader in March 2023. Ph.D. in Nuclear Engineering (2021, TU Dresden) Diploma in Physics (2013, TU Dresden) Preliminary Diploma in Mechanical Engineering (2008, TU Dresden) Dr. Viebach's research focuses on nuclear reactor physics with specialization in neutron noise analysis, reactor stability behavior, and nuclear safety systems. His experimental work centers on the AKR-2 research reactor, investigating neutron flux fluctuations in pressurized water reactors through projects like NEUS and CORTEX. He develops advanced methods for nuclear waste management through the NAUTILUS initiative and explores molten salt reactor technologies. His publication record shows consistent output in nuclear engineering journals, with recent emphasis on hydrogen integration with nuclear power plants, experimental validation of reactor physics codes, and zero-power reactor experiments. Current research trends indicate growing focus on hybrid energy systems combining nuclear power with hydrogen production. Dr. Viebach actively mentors student assignments, final theses, and PhD candidates while teaching courses in Fundamentals of Nuclear Technology, Reactor Physics Aspects, and Thermalhydraulics and Safety of Nuclear Facilities. His collaborative work spans international institutions including Helmholtz-Zentrum Dresden-Rossendorf and Joint Institute for Nuclear Research in Dubna.

Peter Oppeneerمشاهده پروفایل

استاد

• ultrafast magnetism
• theoretical condensed matter physics
• orbitronics theory
• +۱۱ مورد دیگر

Professor Peter Oppeneer is a faculty member in the Department of Physics and Astronomy at Uppsala University, Sweden, where he leads the Materials Theory research group. He also serves as a Mercator Fellow for the TRR227 research consortium focused on ultrafast spin systems and correlated matter. His research spans theoretical condensed matter physics with emphasis on ultrafast magnetism, orbitronics, unconventional superconductivity, and strongly correlated electron systems. Professor Oppeneer's group develops advanced theoretical frameworks and computational tools to investigate femtosecond laser-induced magnetic processes, out-of-equilibrium spin and phonon dynamics, and ab initio descriptions of complex quantum materials. His work addresses fundamental questions about ultrafast demagnetization, magnetization switching, and light-induced magnetic phenomena, with particular focus on spin dissipation channels like superdiffusion and Elliott-Yafet electron-phonon spin-flip scattering. Analysis of his recent publications reveals a strong focus on ultrafast demagnetization processes, altermagnetism, terahertz spin dynamics, and unconventional superconductivity. His work frequently combines first-principles calculations with experimental collaborations to address fundamental questions in quantum materials science. The research shows increasing emphasis on non-equilibrium phenomena and topological aspects of magnetic materials, with significant contributions to understanding femtosecond coherent light-induced magnetic processes and the development of numerical simulation codes for real materials. Developed home-made self-consistent multiband Eliashberg code for unconventional superconductivity Advanced theory of hidden order and multipolar magnetic order in correlated materials Computational theory for molecular spintronics and spin-crossover materials Theory of ultrafast thermalization processes in metals after laser excitation Professor Oppeneer maintains active collaborations with experimental groups worldwide, particularly those working with ultrafast laser techniques and X-ray spectroscopy. His theoretical predictions have guided numerous experimental investigations into the fundamental mechanisms of ultrafast magnetic phenomena, with implications for future spintronic technologies operating on femtosecond timescales.

Julia Mergheimمشاهده پروفایل

استاد

• Nonlinear Finite Element Methods
• Multiscale Modeling
• Fracture Mechanics
• +۵ مورد دیگر

Prof. Dr.-Ing. Julia Mergheim is a Professor at the Chair of Engineering Mechanics (LTM) within the Department of Mechanical Engineering at Friedrich Alexander University Erlangen-Nuremberg (FAU). She leads the Numerical Mechanics Working Group and maintains an active research program in computational mechanics with significant contributions to the field. Her research focuses on Nonlinear Finite Element Methods , Multiscale Modeling and Simulation , and Crack Propagation Simulation . Her work spans various applications including additive manufacturing, material failure analysis, energy harvesting systems, and computational fracture mechanics. Prof. Mergheim has developed advanced numerical techniques for modeling complex material behaviors, particularly in the areas of ductile damage, fracture mechanics, and multiphysics systems. Her recent publications demonstrate strong research activity across multiple domains, with particular emphasis on clinch joining processes, additive manufacturing optimization, energy harvesting systems, and advanced computational methods for material failure prediction. Her work shows consistent collaboration with researchers across Germany and internationally. Prof. Mergheim maintains an active presence in the computational mechanics community through her extensive publication record and participation in conferences. Her research group continues to produce high-impact work that bridges theoretical developments with practical engineering applications.