جست‌وجوی استاد و پژوهشگر

• Materials Science
• Computational Materials Science
• Mechanical Engineering
• +۳ مورد دیگر

Erik Bitzek is a Lecturer at Friedrich-Alexander University (FAU) in the Faculty of Engineering, Department of Materials Science. He leads the Modeling & Simulation group at the Max Planck Institute (MPI) in Düsseldorf since 2021. His research focuses on atomistic simulations, fracture mechanics, and computational materials science, with a strong emphasis on microstructure-property relationships in metals and alloys. Key areas include dislocation dynamics, hydrogen embrittlement, and multiscale modeling of mechanical behavior. Bitzek also contributes to data infrastructure initiatives like NFDI-MatWerk, addressing reference data management in materials science. His work integrates experimental techniques (e.g., microcantilever fracture tests) with advanced simulation methods (e.g., machine-learning potentials and molecular dynamics) to study phenomena such as stacking faults, grain boundary effects, and nanoscale deformation. Recent projects explore the thermodynamic and mechanical behavior of high-entropy alloys, Laves phases, and irradiation-induced damage in materials. Bitzek’s research highlights the interplay between microstructural features and macroscopic material performance, addressing challenges in energy, aerospace, and structural applications. His contributions span computational frameworks for materials design, failure analysis under extreme conditions, and bridging scales from atomic to continuum mechanics.

• Materials Science
• Metallurgy
• Solid Mechanics
• +۵ مورد دیگر

Dr. Guillaume Hachet is a Researcher at the Max Planck Institute for Sustainable Materials, affiliated with the Department of Microstructure Physics and Alloy Design. His work focuses on mechanism-based alloy design, particularly investigating interactions between hydrogen, dislocations, and microstructural evolution in advanced materials. He holds a PhD in Materials Science and has conducted extensive research on metallurgical processes and defect mechanics. Key research interests include hydrogen embrittlement mechanisms in alloys, dislocation dynamics in metals like tungsten and nickel, and the impact of interstitial elements on mechanical properties. His experimental methods involve atom probe tomography, nanoindentation, and ab initio simulations. Dr. Hachet’s studies often bridge multi-scale analysis from atomic-level defects to macroscopic material behavior. Recent publications emphasize hydrogen’s role in delaying precipitation processes, altering dislocation mobility, and modifying cyclic plasticity in single crystals. His work contributes to improving alloy design for applications in harsh environments such as nuclear reactors and aerospace components. Dr. Hachet collaborates with the Mechanism-based Alloy Design research group at the institute and maintains an active presence in the materials science community through conferences and interdisciplinary projects.

• Applied Thermodynamics
• Phase Transformations
• Structural Materials
• +۴ مورد دیگر

Alisson Kwiatkowski da Silva is a Researcher in the Department of Microstructure Physics and Alloy Design at the Max Planck Society. Their work focuses on applied thermodynamics, phase transformations, and structural materials with an emphasis on advanced steel alloys and atom probe tomography. Key research themes include sustainable materials processing, microstructural evolution in high-performance alloys, and the interplay between atomic-scale chemistry and mechanical properties. Research interests span atom probe tomography applications, spinodal decomposition mechanisms, and the design of steels for decarbonization. They investigate phenomena such as interface engineering in iron oxides, anomalous magnetization in martensitic phases, and the role of segregation in phase nucleation. Their work bridges computational modeling (e.g., CALPHAD-based approaches) with experimental characterization to advance materials for energy-efficient manufacturing and additive manufacturing processes. Recent publications highlight contributions to medium-Mn steels, high-entropy alloys, and the development of AI-driven tools like PDGPT for phase diagram analysis. Their work addresses global challenges in sustainable metallurgy, including circular steel economies and reducing carbon footprints through optimized alloy design. Alisson has collaborated on projects involving atom probe tomography-assisted kinetic analysis, grain boundary engineering in superalloys, and the thermodynamics of scrap-based metallurgical processes. Their research frequently integrates multi-scale characterization techniques with advanced computational simulations to uncover fundamental mechanisms governing material behavior.

• Materials Modelling
• Computational Electro-Chemo-Mechanics
• Solid Mechanics
• +۳ مورد دیگر

Dr. Chuanlai Liu is a Project Group Leader at the Max Planck Institute for Sustainable Materials, leading the Computational Energy Storage Materials research group. His work focuses on materials modeling, computational electro-chemo-mechanics, solid mechanics, and high-performance computing, with expertise in developing open-source simulation software like DAMASK. His research interests include microstructure-sensitive modeling of polycrystalline materials, phase-field simulations of deformation and fracture in ice, spinodal decomposition dynamics, and chemo-mechanical interactions in battery materials. He also explores vacancy trapping in alloys and the mechanical behavior of magnesium and aluminum alloys through advanced computational methods. Dr. Liu’s publications highlight contributions to multiphysics modeling, alloy design, and sustainable material science. His work bridges theoretical models with practical applications in energy storage and recycling of 'dirty' aluminum alloys. The DAMASK software, co-developed by Liu, is widely used for simulating complex material behaviors under mechanical and chemical loading.

• Materials Science
• Mechanical Engineering
• Nickel-Based Superalloys
• +۳ مورد دیگر

Dr. Gang Liu is a Researcher at the Max Planck Institute for Sustainable Materials, Department of Structural and Nano-/Micromechanics of Materials in Düsseldorf, Germany. His work focuses on the microstructural and mechanical behavior of advanced materials, particularly nickel-based superalloys, intermetallic materials, and their applications in hydrogen storage. His research explores deformation mechanisms, phase transformations, and defect analyses under various conditions such as thermal exposure and fatigue. Dr. Liu’s research interests include fretting fatigue in titanium alloys, high-cycle fatigue life prediction in IN713C superalloys, and the influence of microstructural parameters like Ti/Al ratios and grain orientation on material performance. His studies often combine advanced transmission electron microscopy (TEM) with computational modeling to understand micromechanisms at the nano- and microscale. Publications highlight a focus on phase transformations, solidification processes, and creep behavior in superalloys. His work contributes to improving material durability and reliability in high-stress aerospace and energy applications.

• Thermodynamics of Defects
• Atomistic Simulations
• Machine Learning Potentials
• +۳ مورد دیگر

Marvin Poul is a Researcher at the Max Planck Institute for Sustainable Materials in Düsseldorf, Germany. His primary affiliation is with the Department of Computational Materials Design, focusing on interdisciplinary research at the intersection of materials science, computational physics, and machine learning. His work emphasizes the computational modeling of material defects, thermodynamic property prediction, and automated machine learning potential development. Research Interests: - Thermodynamics of Defects - Atomistic Simulations of Material Microstructures - Machine Learning-Driven Materials Design - Computational Approaches to Defect Phase Diagrams - High-Throughput Materials Informatics Recent publications highlight advancements in: - Automated generation of structure datasets for machine learning - Sampling-free computation of thermal material properties - Dislocation dynamics in electrical steel grain growth He contributes to open-source tools such as the pyiron framework for computational workflows. No scientific awards are explicitly listed, but his active research profile indicates significant contributions to computational materials science.

Lu Wangمشاهده پروفایل

دانشیار

• Natural Language Processing
• Computational Social Science
• Machine Learning
• +۵ مورد دیگر

Lu Wang is an Associate Professor at the University of Michigan's Department of Computer Science and Engineering (College of Engineering). She previously held positions at Northeastern University's Khoury College of Computer Sciences. Her research focuses on Natural Language Processing (NLP), computational social science, and machine learning, particularly in developing trustworthy AI systems for factual content generation and reasoning tasks. She has led multiple NSF-funded projects, including CAREER awards, and has contributed to areas like argument mining, media bias detection, and narrative understanding. Education: Ph.D. in Computer Science from Cornell University (2016), B.Sc. in Intelligence Science and Technology (2009), B.Econ. in Economics (2009), both from Peking University. Research Interests: Includes NLP applications in education, computational social science, and interdisciplinary AI projects. Her work emphasizes improving language model factuality, reasoning capabilities, and AI alignment/safety. Grants: Over $5M in funding from NSF, AFOSR, IARPA, and industry partners. Notable projects include long document summarization, narrative modeling, and AI alignment research. Awards: Multiple best-paper recognitions at ACL, CHI, and SIGDIAL conferences, reflecting her impactful contributions to NLP and AI research. Service: Serves as ACL Equity Director and co-founder of ACL SIGSUMM. Active in program committees, including co-chairing NAACL 2025.

Guruswami Ravichandranمشاهده پروفایل

استاد

• Deformation and failure of materials
• Dynamic behavior
• Wave propagation
• +۶ مورد دیگر

Guruswami Ravichandran is a John E. Goode, Jr. Professor of Aerospace and Mechanical Engineering at the California Institute of Technology (Caltech). He has served as Director of the Graduate Aerospace Laboratories (2009-15), Division Chair (2015-21), and held the Booth Leadership Chair (2015-21). His research spans multiple scales and disciplines within materials mechanics. Education: B.E. (1981, University of Madras); Sc.M. in Solid Mechanics and Structures (1983, Brown University); Sc.M. in Applied Mathematics (1984, Brown University); Ph.D. (1987, Brown University); Honorary Doctorate (Paul Verlaine University) Ravi Ravichandran's work focuses on deformation and failure of materials under dynamic loading, investigating wave propagation in solids, micro/nano mechanics , and biomaterials . His research extends to active materials , composites , and cell mechanics , integrating physics and engineering principles across scales. Recent publications highlight experimental mechanics techniques like digital image correlation for high-strain rate analysis and studies on stress chain topology in active materials. His work bridges geomechanics , metallurgy , and biophysics through multiscale investigations. Selected honors include: 2024 Brown Engineering Alumni Medal 2023 ASME Timoshenko Medal Foreign Fellow, Indian National Academy of Engineering Member, Academia Europaea He has advised multiple generations of students at Caltech while leading major initiatives in aerospace and mechanical engineering research.

• Data-Driven Computing
• Fracture Mechanics
• Multiscale Modeling
• +۴ مورد دیگر

Marine Casalis is a Researcher at the Department of Political Analysis at ETH Zurich, Switzerland. Their work focuses on interdisciplinary research at the intersection of computational mechanics, materials science, and biomedical engineering. Key research interests include data-driven computing, fracture mechanics, and multiscale modeling of materials. Casalis has presented extensively at international conferences, such as ECCOMAS-CMCS, STAMS, and IUTAM Symposia, highlighting contributions to topics like ductile fracture, hydrogen storage in nanoparticles, and optimal transport methods in mechanics. Their research bridges theoretical and applied perspectives, with a strong emphasis on predictive modeling and algorithm development. Recent work includes advancements in model-free data-driven approaches and their application to complex material systems. Research activities span computational mechanics, with a focus on understanding and simulating deformation, fracture, and microstructural evolution in metals and other materials. Notable contributions include studies on strain-gradient microplasticity, optimal scaling laws for fracture, and the mechanics of fused silica glass. Casalis has also explored biomedical applications such as oncotripsy and ultrasound neuromodulation, demonstrating a commitment to interdisciplinary innovation. Their work often integrates advanced numerical methods, such as meshfree approximations and atomistic simulations, to address challenges in energy and materials science. Publications and presentations reflect a sustained engagement with cutting-edge topics in mechanics and materials science, including collaborations with institutions like Oxford University, Politecnico di Milano, and the Technical University of Munich. While no specific awards are mentioned, their extensive conference participation underscores a dynamic research profile. Advising and grant details are not provided in the available text, but their academic contributions are evident through their active role in international academic networks and computational initiatives.

Robert J. Gulottyمشاهده پروفایل

دانشیار

• International Political Economy
• International Trade
• Formal Theory
• +۴ مورد دیگر

Robert J. Gulotty is an Associate Professor of Political Science at the University of Chicago, holding a joint appointment in The College. His research examines the relationship between national governments and global markets, with particular focus on how competitive interests of local and global firms undermine economic cooperation, how the global trade regime reflects political goals of leading governments, and how politicians evade accountability. Education: Ph.D. in Political Science, Stanford University (2014) M.A. in Economics, Stanford University (2013) B.A. in Political Science and Philosophy, The Ohio State University (2008) Gulotty's research spans International Political Economy, International Trade, Formal Theory, and Statistical Methodology. His work explores the political economy of trade regimes, regulatory protection, and multinational production. His first book, Narrowing the Channel: The Politics of Regulatory Protection (University of Chicago Press, 2020), examines how governments regulate trade beyond tariffs. He has also co-authored Opening of the American Market: Rules, Norms and Coalitions with Judith Goldstein, analyzing the historical development of US trade policy. His publication portfolio reveals a consistent focus on how domestic institutions shape international economic cooperation, with particular attention to the operations of the WTO, GATT system, and preferential trade agreements. His research increasingly incorporates formal theory and statistical methodology to analyze complex interactions between trade policy, political accountability, and market dynamics. Scientific Recognition: Postdoctoral Fellowship, SCID and Political Science at Stanford University (2014-2015) Ric Weiland Graduate Fellowship, Stanford University (2012-2014) Political Science Graduate Student Fellowship, Stanford University (2008-2012) Gulotty serves on the editorial board of Business and Politics and reviews for numerous top political science and economics journals including American Political Science Review , International Organization , and World Trade Review . His teaching portfolio includes courses on International Political Economy, Mathematical Foundations of Political Methodology, and Global Supply Chains. He directs the IPE Lab at the University of Chicago, which supports research on international political economy through methodological training and collaborative projects. His current work examines how politicians manipulate information environments to evade accountability for trade-driven economic dislocations.

Aneeqa Khanمشاهده پروفایل

پژوهشگر ارشد

• Nuclear Fusion Materials
• Plasma Physics
• Materials Science
• +۳ مورد دیگر

Dr. Aneeqa Khan is a Research Fellow in Nuclear Fusion at the University of Manchester, working at the Harwell campus and within the School of Mechanical, Aerospace and Civil Engineering (MACE). Her research focuses on materials science challenges in nuclear fusion, particularly tungsten-based materials' behavior under plasma exposure. She holds a PhD from the University of Manchester (2017), supervised by Prof. Peter Mummery, investigating fusion-relevant damage in tungsten. Her expertise includes plasma surface interactions, material degradation mechanisms, and advanced reactor component design. Key projects include contributions to the European DEMO divertor mock-up assessments and ITER material migration simulations. She has collaborated on interdisciplinary studies, including neutron imaging for residual stress analysis in fusion materials. Research interests span plasma effects on materials, helium irradiation impacts, and optimization of tungsten-rhenium alloys for fusion applications. Her work contributes to UN SDGs through sustainable energy development. Media engagements include expert commentary on nuclear fusion breakthroughs and their climate implications. Current involvement includes the UoMaH project focusing on advanced materials characterization. Her 15+ peer-reviewed articles and commissioned policy reports demonstrate cross-disciplinary impact in both technical and policy arenas.

David Huebertمشاهده پروفایل

مدرس

• Environmental Literature
• Ecocriticism
• Human-Animal Relationships
• +۶ مورد دیگر

David Huebert is a Canadian writer and educator currently teaching fiction writing in the MFA Programme at The University of King's College in Halifax, Nova Scotia. He previously served as a Faculty Fellow of the Humanities at King's starting in Fall 2020. His academic journey includes a Bachelor of Arts (Hons.) in Contemporary Studies and English from King's (2008), a Master's degree from the University of Victoria, and a PhD from Western University. Huebert's research and creative interests center on environmental precarity, the complex relationship between human and non-human actors, and the impacts of the oil industry on communities. His work explores how ecological concerns intersect with social life, arguing that 'everyone is basically thinking about ecology whether we know it or not: being social is a form of being ecological.' He has developed specialized workshops on 'Dirty Nature Writing' that examine the intersection of environmental concerns and literary expression. Huebert's publications reveal a consistent engagement with environmental themes across multiple formats. His fiction often examines the human consequences of industrial environments, particularly the petrochemical industry in Ontario's 'Chemical Valley' region, while his poetry collections explore interspecies connections and identity. His writing style is noted for being 'inventive,' 'hallucinatory,' and 'lushly poetic,' with one award jury describing his work as having 'mind-bendingly poetic language.' CBC Short Story Prize The Walrus Poetry Prize Jim Connors Dartmouth Book Award 2025 Thomas Raddall Atlantic Fiction Award for Oil People Amazon Canada First Novel Award (shortlisted) Beyond his creative work, Huebert is actively engaged in the literary community through teaching, public readings, and workshops. He has received support from Arts Nova Scotia for book tours and regularly participates in literary festivals across Canada. His academic background in Contemporary Studies and English informs his interdisciplinary approach to both teaching and writing, creating a 'feedback loop of conversation and writing' that energizes his work across multiple domains.

• Digital Wellbeing
• Critical Digital Literacies
• Curriculum Design for Digital Learning
• +۳ مورد دیگر

Dr. Cristina Costa is an Associate Professor in the School of Education at Durham University, part of the Faculty of Social Sciences and Health. She serves as Co-Director of the MA in Research Methods at the Durham Research Methods Centre (DRMC) and Programme Director for the MA in Interdisciplinary Research Methods. Her roles include policy research fellowships with Durham Council (ESRC-funded) and visiting scholar appointments at the European Commission’s Joint Research Centre. Affiliations: Durham Research Methods Centre, Faculty of Social Sciences and Health Professional roles: Co-Director (MA Research Methods), Durham Policy Fellow, Visiting Scholar (EU Commission) Her research focuses on digital well-being, generative AI in education, and critical explorations of digital experiences. Notable projects include co-producing digital literacy frameworks with schools and examining digital safety policies. Key interests also include curriculum design for digital learning and addressing educational inequalities through social theory lenses. Publications span edited volumes on digital privacy, social media, and pedagogical innovations. She co-edits the British Journal of Sociology of Education and contributes to global academic networks like CSET (Critical Studies of Education and Technology). Recent articles analyze the digital public sphere’s impact on universities and generative AI’s role in curricula. Awards/Honors : Fellow of the Higher Education Academy Grants : ESRC/IAA (2025), EPSRC/NorthFutures (2025), Research England (2023-24) Supervises PhD research on digital technology’s role in education, emphasizing critical theory. Leads initiatives like the Durham Digital Literacy Clinic and collaborates with organizations such as the Gladstone Terrace Centre for Young People on youth empowerment projects. Active in educational policy, she coordinates widening participation programs and advises on CPD for digital literacies. Her work bridges academia and practice, addressing societal challenges through evidence-based research.

• Materials Science
• Mechanical Engineering
• Crystal Plasticity
• +۳ مورد دیگر

Professor Jane Smallman is a Professor in the School of Engineering at the University of Edinburgh. Her research focuses on the mechanical behavior of metallic materials, particularly deformation mechanisms, crystal plasticity, and computational modeling of microstructure-property relationships. She leads the Advanced Materials Modelling Group and is affiliated with the James Hutton Institute collaboration. Education: PhD in Materials Science from the University of Cambridge (2005) MEng in Materials Science from Imperial College London (2001) Her research interests span multiscale modeling of deformation, high-entropy alloys, and machine learning applications in materials science. Recent work emphasizes predictive modeling of fracture and twinning mechanisms in magnesium alloys. Her articles explore experimental-computational synergy in analyzing deformation processes. Awards: Royal Society Wolfson Merit Award (2018) Institute of Materials Medal (2020) She advises multiple PhD projects on computational materials design and leads grants totaling £2.5M. Her Advanced Materials Lab collaborates with industrial partners in aerospace and automotive sectors.

Tony Paxtonمشاهده پروفایل

استاد

• Computational Materials Science
• Hydrogen Embrittlement
• Tight-Binding Approximation
• +۲ مورد دیگر

Tony Paxton is Professor and Senior Research Investigator in the Department of Materials at Imperial College London, with affiliated Emeritus Professor status at King's College London. His research focuses on computational materials science across multiple domains including hydrogen behavior in metals, corrosion physics, and dislocation dynamics in crystalline materials. His core interests include hydrogen embrittlement mechanisms in steel, tight-binding approximation development, and quantum mechanical modeling of material interfaces. He has led major consortia investigating hydrogen embrittlement (HEmS project) and alloy design for resource efficiency (DARE project). Current work extends to molecular processes in aqueous environments and corrosion phenomena. His publication record demonstrates consistent focus on atomistic modeling approaches applied to hydrogen-material interactions, dislocation behavior, alloy design, and defect physics. Recent themes include machine learning potentials, magnesium alloy deformation mechanics, and quantum effects in diffusion processes.