جست‌وجوی استاد و پژوهشگر

Wolfgang Rheinheimerمشاهده پروفایل

استاد

• Ceramic materials
• Sintering technologies
• Grain boundary engineering
• +۷ مورد دیگر

Prof. Wolfgang Rheinheimer is a Professor and Institute Director at the Institute for Ceramic Materials and Technologies , University of Stuttgart, since 2023. Previously, he held academic positions at RWTH Aachen (2022-2023), Forschungszentrum Jülich (Emmy Noether Group Leader, 2020-2022), TU Darmstadt (2020), and Karlsruhe Institute of Technology (2010-2017). Academic Rank: Full Professor Research Focus: Advanced sintering technologies, grain boundary engineering, defect chemistry, conductivity in ceramics, and microstructure evolution His research spans experimental and computational approaches to ceramic materials, with emphasis on field-assisted processing (electric/magnetic), grain boundary properties , and solid-state electrolytes . He has pioneered studies on flash sintering , cold sintering , and blacklight sintering mechanisms. Scientific Awards : Emmy Noether Fellowship (2020-2022) for establishing his independent research group His work integrates phase-field modeling with experimental characterization to optimize ceramic properties for energy applications (solid-state batteries, fuel cells) and structural uses. Collaborations include Robert Bosch GmbH and Purdue University (2018-2019 Visiting Professorship).

• Uncertainty Quantification
• Predictive Modeling
• Computational Mathematics
• +۵ مورد دیگر

Nicholas Zabaras is a Professor of Uncertainty Quantification and the Director of the Warwick Centre for Predictive Modelling at the University of Warwick. He is a Hans Fischer Senior Fellow at the TUM Institute for Advanced Study (TUM-IAS), hosted by Phaedon-Stelios Koutsourelakis. His research focuses on advancing computational methods for uncertainty quantification, predictive modeling, and multiscale/multiphysics systems. Key areas include Bayesian methods, stochastic modeling, and data-driven approaches for complex materials systems. Education: He holds a diploma in Mechanical Engineering from the National Technical University of Athens (1982), an M.Sc. in Materials Science and Engineering from the University of Rochester (1983), and a Ph.D. in Theoretical and Applied Mechanics from Cornell University (1987). He has held academic positions at the University of Minnesota, Cornell University, and the University of Warwick, where he now leads the Warwick Centre for Predictive Modelling. Research Interests: His work integrates computational mathematics, statistics, and scientific computing to address challenges in materials science, computational physics, and engineering systems. Specific themes include Bayesian uncertainty quantification, high-dimensional modeling, information-theoretic coarse graining, and stochastic model reduction. Awards: He has received the Royal Society Wolfson Research Merit Award (2014), the Michael Tien’72 College of Engineering Teaching Award (2009), and is a Fellow of the American Society of Mechanical Engineers (2006). Labs/Teams: Director of the Warwick Centre for Predictive Modelling, and leader of the Scientific Computing and Artificial Intelligence (SCAI) Laboratory at the University of Notre Dame, focusing on interdisciplinary research in AI-driven predictive modeling and uncertainty quantification.

• Calculus of Variations
• Multiscale Methods
• Atomistic Models
• +۴ مورد دیگر

Dr. Leonard Kreutz is a Researcher at the Department of Mathematics , Technical University of Munich (TUM), leading an Emmy Noether Junior Research Group since 2023. He has held postdoctoral positions at Carnegie Mellon University, WWU Münster, and Universität Wien, and was an acting professor at TUM in 2019. Education: PhD (2018) from Gran Sasso Science Institute, Honors Master (2014) and Bachelor (2013) in Mathematics at TUM. Research Interests: His work focuses on the Calculus of Variations , Multiscale Methods , and Discrete-to-Continuum Limits , particularly in modeling crystallization, elastic materials with voids, and topological singularities in spin systems. He explores free-discontinuity problems and geometric rigidity in variable domains. Publications span 2023–2017, emphasizing atomistic models , nonlinear elasticity , and homogenization across mathematics, materials science, and physics. Collaborative projects with leading experts like M. Cicalese and A. Braides dominate his output. Scientific Award: Emmy Noether Junior Research Group Grant (2023–present). Collaborations include institutions such as Carnegie Mellon University, WWU Münster, and the University of Vienna. His research intersects with groups focused on Mathematical Finance , Numerical Analysis , and Quantum Information Theory at TUM.

Martin Lenzمشاهده پروفایل

پژوهشگر

• Numerical Simulation
• Materials Science
• Mechanical Engineering
• +۳ مورد دیگر

Dr. Martin Lenz is a researcher at the Institut für Numerische Simulation at the University of Bonn , specializing in numerical methods for materials science and mechanics. His work bridges computational mathematics with applications in magnetic-shape-memory materials, microstructure optimization, and multiscale modeling. Teaching: Lecturer for Ingenieurmathematik III (module M43), Ingenieurmathematik II (module B42), and Ingenieurmathematik (Master module M22). Current Research: Leads Numerical optimization of shape microstructures (Project C06, DFG SFB 1060) focusing on two-scale optimization of elastic materials. Past Research: Developed continuum models for magnetic-shape-memory materials (Project A6, DFG priority program 1239) and studied multiscale phase separation with elastic misfit. His recent publications (2023-2012) emphasize shape-memory alloys , microstructure dynamics , and adaptive numerical schemes . Key methodologies include finite volume methods, homogenization, and phase field modeling. Education: PhD (2007) and Diploma in Mathematics (2002) from the University of Bonn.

• Bayesian uncertainty quantification
• Computational mathematics
• Scientific computing
• +۶ مورد دیگر

Nicholas J. Zabaras is a Professor in the College of Engineering at the University of Notre Dame and serves as director of the Warwick Centre for Predictive Modelling at the University of Warwick. He holds a Hans Fischer Senior Fellowship at the Technical University of Munich Institute for Advanced Study (TUM-IAS) since 2014. His academic journey began with a diploma in Mechanical Engineering from the National Technical University of Athens (1982), followed by an M.Sc in Material Science and Engineering from the University of Rochester (1983), and a PhD in Theoretical and Applied Mechanics from Cornell University (1987). His research spans computational mathematics, computational statistics, and scientific computing with focus on predictive modeling of complex multiscale and multiphysics materials systems. Key research themes include Bayesian uncertainty quantification, high-dimensional problem modeling, information-theoretic coarse graining, stochastic model reduction, and optimization under uncertainty. His work has significant applications in materials science, particularly in uncertainty propagation from ab initio to continuum simulations and modeling of random microstructures. His recent publications demonstrate strong activity in Bayesian coarse-graining techniques, deep Gaussian processes, and uncertainty quantification for multiscale materials systems. The research shows consistent focus on developing computationally efficient methods for high-dimensional problems with applications across materials science and engineering disciplines. Major Awards and Recognitions: Royal Society Wolfson Research Merit Award (2014) Research Fellow, Isaac Newton School of Mathematical Sciences, University of Cambridge (2011) Michael Tien'72 College of Engineering Teaching Award, Cornell University (2009) Fellow, American Society of Mechanical Engineers (2006) Presidential Young Investigator Award (1991) Zabaras leads the Scientific Computing and Artificial Intelligence (SCAI) Laboratory and the Computational Science and Engineering (CSE) Laboratory at Notre Dame, where his team develops innovative mathematical and statistical approaches addressing unique challenges in predictive modeling. His research integrates computational mathematics, machine learning, and multiscale/multiphysics modeling to address problems in materials physics, geological sciences, and climate modeling.

Wong, Su Leenمشاهده پروفایل

پژوهشگر

• Materials Science
• Crystal Plasticity Modeling
• Twinning-Induced Plasticity (TWIP)
• +۴ مورد دیگر

Dr. Wong Su Leen is a researcher at the Max-Planck-Institut für Eisenforschung GmbH under the Max Planck Society . Her work focuses on crystal plasticity modeling of advanced high-strength steels and aluminum alloys, particularly investigating TRIP (transformation-induced plasticity) and TWIP (twinning-induced plasticity) effects. Key research areas: Multi-scale material simulation, ab-initio guided flow stress models, and microchemistry-dependent strengthening mechanisms. Co-developer of the DAMASK simulation toolkit , a widely used software for crystal plasticity and damage modeling in polycrystals. Her publications emphasize computational approaches to understanding deformation mechanisms, stacking fault energy effects, and stress distribution in face-centered cubic metals. She has presented at international conferences including Thermec , ICAA , and COMPLAS . While no students or awards are explicitly listed, her collaborative work with institutions like National Institute for Materials Science (Japan) and University of Düsseldorf highlights her interdisciplinary impact.

Thomas R. Bielerمشاهده پروفایل

استاد

• Materials Science and Engineering
• Crystal Plasticity
• Grain Boundary Mechanics
• +۲ مورد دیگر

Prof. Thomas R. Bieler is affiliated with the College of Engineering at Michigan State University and collaborates with institutions like IMDEA Materiales (Madrid, Spain) and CHESS (Ithaca, NY USA). His research focuses on heterogeneous deformation in metallic polycrystals, slip transfer across grain boundaries, and multiscale modeling of material behavior. Research Interests include Crystal Plasticity Grain Boundary Slip Transfer Anisotropic Deformation Computational Materials Science Multiscale Simulation High Energy X-ray Diffraction Publications highlight work on aluminum and titanium deformation mechanisms, slip transfer thresholds, and machine learning applications for grain boundary characterization. Grants include funding from the US Department of Energy (DOE/BES) and the Community of Madrid.

Ralf Hielscherمشاهده پروفایل

استاد

• Mathematical Imaging
• Crystallography
• Texture Analysis
• +۷ مورد دیگر

Ralf Hielscher is a Professor at the Institute of Applied Analysis within the Faculty of Mathematics and Computer Science at the Technical University of Freiberg, Germany. His research lies at the intersection of applied mathematics, materials science, and imaging, with a strong focus on crystallographic texture analysis and electron backscatter diffraction (EBSD). He is a core developer and leading figure behind MTEX, a widely used open-source MATLAB toolbox for texture and orientation data analysis. Research Interests: His work centers on mathematical methods for analyzing crystallographic orientations, including spherical harmonic transforms, kernel density estimation on rotation groups, manifold-valued data processing, and inverse problems in tomography and texture reconstruction. He develops algorithms for parent grain reconstruction, orientation mapping, denoising, and visualization of microstructures. The recent publications reveal a consistent trend in advancing computational techniques for EBSD and texture analysis, particularly through the MTEX platform. His work bridges theoretical mathematics with practical materials characterization, enabling more accurate and efficient analysis of polycrystalline materials across geology, metallurgy, and engineering. Email: ralf.hielscher@math.tu-freiberg.de Scientific Contributions: While no formal awards are listed, his extensive publication record in high-impact journals such as SIAM Journal on Imaging Sciences , Journal of Applied Crystallography , and Inverse Problems underscores his significant contributions to the field. He has developed foundational algorithms now embedded in MTEX, which is used globally by researchers in materials science and geology. Teaching and Advising: He teaches courses such as Function Theory, Analysis 3, and Mathematics for Engineers. Although specific students are not mentioned, his leadership in MTEX and numerous collaborative publications suggest he mentors researchers and contributes to training the next generation of scientists in computational materials analysis. Labs and Teams: He is part of the team at the Institute of Applied Analysis and leads research efforts related to signal and image processing in crystallography. The MTEX project serves as a virtual research platform involving international collaborators in Germany, France, the UK, and beyond, facilitating open science in texture analysis.

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.

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

Dr. Maximilian Krause is a Postdoctoral Researcher at the Institute of Engineering Mathematics within the Department of Civil Sciences at the University of Duisburg-Essen, Germany, joining in January 2025 after completing his doctorate at Karlsruhe Institute of Technology (KIT). His academic foundation from KIT includes: Bachelor of Science in Mechanical Engineering (2013-2017) specializing in continuum mechanics Master of Science in Mechanical Engineering (2017-2019) focusing on Applied Mechanics and Mechatronics His research centers on Numerical Micromechanics and Microstructure modeling , currently leading the ERC-funded project Beyond Representative Volume Elements for Random Heterogeneous Materials . His doctoral work at KIT investigated local stress-strain distributions in polycrystals, advancing computational frameworks for material behavior prediction. Supported by European Research Council funding, his work bridges theoretical mechanics with practical engineering applications, building on prior industry experience at Schaeffler Technologies through internships and working student roles.

Samuel Forestمشاهده پروفایل

استاد

• Crystal Plasticity
• Phase Field Modeling
• Grain Boundary Migration
• +۴ مورد دیگر

Samuel Forest is a Professor at the Microstructure Physics and Alloy Design department of PSL University and Mines ParisTech CNRS UMR 7633. His research focuses on multiscale modeling of microstructural evolution in metals under thermomechanical treatments. PSL University Mines ParisTech CNRS UMR 7633 Research interests include: Cosserat crystal plasticity Phase field modeling of grain boundaries Recrystallisation dynamics Stored dislocation density effects Curvature-driven microstructure evolution Finite deformation mechanics His publications reveal trends in computational materials science, particularly: Integration of Cosserat theory with phase field methods Modeling heterogeneous reorientation in deformed polycrystals Prediction of grain boundary migration mechanisms Multiscale simulation of metallurgical processes Collaborations include: Anna Ask Benoît Appolaire Kais Ammar Oguz Umut Salman

Stéphane Berbenni Vincent Taupinمشاهده پروفایل

استاد

• Micromechanics
• Continuum Dislocation Mechanics
• Polycrystal Modeling
• +۳ مورد دیگر

Stéphane Berbenni Vincent Taupin serves as Professor at University of Lorraine's School of Engineering within Department 2 IMPACT (Ingénierie des Microstructures, Procédés, Anisotropie, ComportemenT), part of the LEM3 laboratory (UMR CNRS 7239). The department focuses on micromechanics, material processes, and structural behavior. Research centers on developing advanced micromechanical frameworks combining Fourier transform methods with continuum dislocation mechanics. Key contributions include the MFDM-EVPFFT model that integrates Elasto-Visco-Plastic Fast Fourier Transform formulations with Mesoscale Field Dislocation Mechanics theory. This approach captures geometrically necessary dislocation (GND) and statistically stored dislocation (SSD) dynamics in polycrystalline materials, enabling simulation of grain size effects and interface phenomena in two-phase composites. Current work investigates GND density evolution through filtered numerical spectral approaches coupled with stress equilibrium algorithms. Recent publications address small-angle scattering patterns in Ni-based superalloys using phase-field models, demonstrating applications in microstructure characterization. The research group operates within LEM3's extensive infrastructure serving 250 researchers across 50 national and 80 international projects. As part of University of Lorraine's engineering faculty, the position involves collaboration with CNRS and Arts et Métiers institutions. The laboratory maintains three technology platforms supporting mechanical rheology, microscopy, and computational processing for materials research.

• Igneous Petrology
• Diffusion Chronometry
• Volcanology
• +۲ مورد دیگر

Dr. Maren Kahl is a volcanology and petrology researcher affiliated with the Institute of Earth Sciences at Universität Heidelberg, Germany. She currently serves as Scientific Coordinator for the DFG research unit 'Diffusion Chronometry of magmatic systems' (since October 2024). Her career includes substitute professorships, postdoctoral fellowships at institutions like the University of Iceland and Ludwig-Maximilians-Universität München, and extensive fieldwork across volcanic systems in Iceland, Hawaii, and Sicily. 2011 - Dr. rer. nat. Degree (Ruhr-Universität Bochum) 2005 - Diploma in Mineralogy (Universität Heidelberg) Her research focuses on diffusion chronometry to decode timescales of magma transfer processes in Icelandic , Hawaiian , and Mediterranean volcanic systems . Key methodologies include compositional analysis of zoned minerals and thermodynamic-kinetic modeling of magmatic evolution. Recent work examines pre-eruptive magma mobilization in Hawaii and Iceland, with collaborations spanning 10 institutions worldwide. Dr. Kahl's publications highlight her expertise in magmatic system dynamics , including studies on olivine phenocrysts, clinopyroxene recharge signals, and trans-crustal magma plumbing architectures. She has contributed to high-impact journals like Geology and Earth and Planetary Science Letters , and her outreach includes interviews with Science Magazine and Eos .

Manuel Friedrichمشاهده پروفایل

استاد

• Calculus of Variations
• Multiscale Methods
• Free-discontinuity Problems
• +۷ مورد دیگر

Manuel Friedrich is a Professor at FAU Erlangen-Nürnberg , where he leads the research group in Applied Analysis. Previously, he held a Junior Professorship at the University of Münster and was a Postdoc at Universität Wien. His work bridges the Calculus of Variations , Multiscale Methods , and Materials Science , with a focus on Free-discontinuity Problems , Atomistic Models , and Geometric Rigidity . Education : PhD in TopMath elite graduate program (University of Augsburg, 2015), Masters and Bachelors in Mathematics (TU München). Research : He explores variational models for brittle fracture , crystallization in lattices , and geometric stability of nanostructures , often collaborating with Ulisse Stefanelli and others. Awards : Recipient of the Feodor Lynen Fellowship (2015-2018) from the Alexander von Humboldt Foundation. Students : Collaborates with researchers like Leonard Kreutz , Lennart Machill , and Konstantinos Zemas on projects involving graphene ripples and viscoelastic plate theory . Grants : Funded by DFG grants for fracture models in SBD (2019-2021) and metric gradient flows in solid mechanics (2021-2024).

• Calculus of Variations
• Nonlinear Partial Differential Equations
• Materials Science
• +۵ مورد دیگر

Prof. Dr. Carolin Kreisbeck is a full professor holding the Chair of Analysis in the Department of Mathematics at the Faculty of Mathematics and Geography, Catholic University of Eichstätt-Ingolstadt. She serves as Dean of the Faculty since October 2023 and maintains active research collaborations across Europe. Her research focuses on nonlinear partial differential equations and calculus of variations, with particular expertise in: Variational multiscale problems and relaxation techniques Applications in materials science (elasticity, plasticity, metamaterials) Nonlocal operators and fractional calculus Image processing and machine learning applications Gamma-convergence and homogenization theory Her recent publications (2022-2025) demonstrate strong emphasis on nonlocal gradient theories, materials modeling, and variational methods for multiscale problems. The works consistently integrate rigorous mathematical analysis with applications in physics and engineering sciences. Awards and recognitions include: NWO TOP Grant for postdoc position (2019-2021) Multiple teaching excellence awards (University of Regensburg 2013, Utrecht BKO 2016) Prestigious scholarships (Westerdijk, TopMath, Oberwolfach) EON Culture Prize Bavaria (2011) She holds significant professional roles including Associate Editor for Advances in Continuous and Discrete Models , GAMM committee leadership, and organization of international mathematics conferences.