جستجوی استاد راهنمای دانشگاهی

Diana Qiuمشاهده پروفایل

استادیار

• Condensed Matter Physics
• Quantum Physics
• Exciton Dynamics
• +۵ مورد دیگر

Diana Qiu is an Assistant Professor of Mechanical Engineering at Yale University, affiliated with the WC Energy Sciences Center. Her research focuses on quantum materials, particularly the control of excitations and macroscopic properties through light-matter interactions and many-electron correlations. She develops first-principles quantum physics methods leveraging high-performance computing to predict material behaviors in optoelectronics, quantum information, and energy research. Key research interests include exciton transport, time-dependent phenomena, heterojunctions, and defects in 2D materials. Her work addresses fundamental processes such as exciton thermalization, coherence, and ultrafast optical responses. Projects involve designing novel materials for tunable excitonic properties and exploring phenomena like moiré-tunable band alignment in heterobilayers. Her computational approaches include Bethe-Salpeter equation formalisms, time-dependent GW methods, and machine learning integration for many-body interactions. Notable grants include the NSF CAREER Award for real-time first-principles studies of high-harmonic generation in solids. She collaborates on scalable synthesis of monolayer materials and investigates nuclear quantum effects in liquid water using advanced DFT techniques. Recent publications highlight advancements in exciton-polaritons, defect interactions, and scalable simulation frameworks like MBFormer. Her work bridges theoretical predictions with experimental validation, emphasizing practical applications in energy storage and quantum technologies.

Jan Wilhelmمشاهده پروفایل

پژوهشگر

• Ultrafast Processes
• Electronic Structure Theory
• Quantum Technologies
• +۳ مورد دیگر

Jan Wilhelm is a Researcher and leader of the Emmy Noether Independent Junior Research Group at the University of Regensburg's Institute for Theoretical Physics. His work focuses on ultrafast electron dynamics and computational methods for electronic structure theory, addressing gaps between experimental capabilities and theoretical predictions in ultrafast processes. He develops low-scaling algorithms for GW calculations to simulate systems with thousands of atoms, enabling studies of materials like 2D heterobilayers and moiré structures. His research intersects quantum technologies, photovoltaics, and nonlinear optics, with collaborations on high-harmonic generation and ultrafast microscopy. Funded by the German Research Foundation (DFG), his work bridges theory and experiment, aiming to understand femtosecond-scale phenomena in materials. Education: Studied physics and mathematics at Karlsruhe Institute of Technology, with a doctorate in theoretical chemistry from the University of Zurich. Prior industry experience in chemical optimization provided insights into applied vs. fundamental research. Research highlights include the development of CUED software for ultrafast dynamics simulations and contributions to the CP2K package. Key projects include ultrafast laser-driven electron dynamics, topological insulator studies, and collaborations with experimental groups at RUN. Future directions involve leveraging the Regensburg Center for Ultrafast Nanoscopy (RUN) to explore uncharted phenomena at atomic scales. Teaching: Lectures on computational methods for nanoscience and condensed matter excitations. Supervised students like Max Graml, who received the Brigitta and Oskar Braumandl Prize.

Diana Qiuمشاهده پروفایل

استادیار

• Materials Science
• Condensed Matter Physics
• Quantum Materials
• +۱۲ مورد دیگر

Diana Qiu is an Assistant Professor in the Department of Materials Science and the Applied Physics program at Yale University's School of Engineering & Applied Science. Her research focuses on quantum materials, computational methods, and light-matter interactions, with applications in optoelectronics, quantum information, and energy technologies. Research Interests: Dr. Qiu's work centers on understanding and controlling quantum excitations in materials through first-principles calculations. Her group develops and applies quantum many-body theories to predict electronic, optical, and excitonic properties of novel materials. Key areas include 2D materials, hybrid perovskites, topological systems, and defect engineering. She investigates how light interacts with electrons in solids, particularly focusing on exciton dynamics, ultrafast responses, and nonlinear phenomena. Her recent publications reveal a strong emphasis on exciton physics, dielectric screening, and many-body effects across diverse material platforms. Using high-performance computing, her group bridges theoretical models with real material behavior, enabling predictive design of tunable and transient quantum materials. Honors and Awards: Presidential Early Career Award for Scientists and Engineers (PECASE), 2025 NSF CAREER Award, 2023 Packard Fellowship for Science and Engineering, 2021 DOE Early Career Award, 2021 Rising Stars in Physics, 2018 Jackson C. Koo Award in Condensed Matter Physics, 2017 Advising and Grants: As a principal investigator, Dr. Qiu leads the Qiu Group and mentors graduate students and postdoctoral researchers in computational materials science. She has secured major funding through the NSF, DOE, and Packard Foundation, supporting her research in quantum materials and exciton engineering. Her group collaborates with experimentalists to validate theoretical predictions and guide material synthesis. Labs and Research Teams: The Qiu Group is based at the Energy Sciences Institute in West Haven, CT, and operates within Yale’s robust infrastructure for computational and materials research. The team leverages high-performance computing resources to perform large-scale simulations of quantum materials.

• Quantum Materials
• 2D Materials
• Optical Properties
• +۲ مورد دیگر

Thorsten Deilmann is a Privatdozent (PD) at the Institute of Solid State Theory at the University of Münster . His research focuses on the computational theory of quantum materials , particularly 2D materials , with expertise in ab-initio methods and numerically efficient approximations . He investigates excited states and optical properties of layered systems using advanced modeling techniques. Dr. Deilmann’s work spans topics like excitons , trions , and spin-orbit interactions in transition metal dichalcogenides (e.g., MoS2, WSe2) and hybrid perovskites. He has contributed to the Computational 2D Materials Database (C2DB) and developed methods for GW/Bethe-Salpeter equations and electron-phonon interactions . While no formal awards are listed, his collaborations with groups like Rohlfing, Thygesen, and Bratschitsch highlight interdisciplinary impact. He received his Habilitation in 2022 for Designing optical excitations in 2D materials and completed his PhD thesis in 2015 on structural, electronic, and optical properties of organic adsorbates . His publications emphasize valley-contrasting optics , strain tuning , and chemical phase transitions in quantum systems.

Eric Cancèsمشاهده پروفایل

استاد

• Mathematical analysis of electronic structure models for quantum chemistry and materials science
• Algorithms for electronic structure calculation
• Numerical analysis of linear and nonlinear eigenvalue problems
• +۶ مورد دیگر

Eric Cancès is a Professor at Ecole des Ponts ParisTech and affiliated with INRIA Paris as part of the Molecular and Multiscale Modeling team. His research focuses on mathematical analysis of electronic structure models for quantum chemistry and materials science, algorithms for electronic structure calculations, numerical analysis of eigenvalue problems, implicit solvent models, and molecular dynamics. He has made significant contributions to the development of continuum solvation models, multiscale methods, and computational frameworks for quantum chemistry. Research Interests Mathematical foundations of quantum chemistry Algorithmic development for electronic structure Implicit solvent models and continuum electrostatics Multiscale and domain decomposition techniques Greedy algorithms for high-dimensional problems Scientific Awards Le Rivot prize (French Academy of Sciences, 1992) Best PhD award (Ecole des Ponts, 1998) Blaise Pascal prize (SMAI and French Academy of Sciences, 2009) Ordway visiting professor (University of Minnesota, 2013-2014) Invited lecturer at ICM (2014) Publications span over two decades, addressing Hartree-Fock and Kohn-Sham models, quantum Monte Carlo methods, domain decomposition for solvation models, and multiscale approaches. His work emphasizes mathematical rigor combined with computational efficiency, with recent studies on perturbation methods, polarization energy calculations, and embedded corrector problems for homogenization.

Johannes Tölleمشاهده پروفایل

استادیار

• Quantum Chemistry
• Computational Chemistry
• Theoretical Chemistry
• +۳ مورد دیگر

Dr. Johannes Tölle is an Assistant Professor at the University of Münster, leading the Tölle Research Lab with a focus on electronic structure theory for quantum mechanical simulations of molecules and materials. His primary research areas include: Quantum Chemistry Computational Chemistry Theoretical Chemistry Condensed Matter Physics Quantum Many-Body Theory Scientific Software Development He develops advanced methods for ground- and excited-state properties, emphasizing quantum embedding (e.g., subsystem time-dependent density functional theory), many-body electronic structure theory (e.g., GW approximation and equation-of-motion coupled-cluster), and open-source software tools like Serenity and Block2 for DMRG algorithms. His work is supported by Collaborative Research Center (CRC) 1459 and the International Research Training Group (IRTG) 2678, driving innovations in computational quantum chemistry and condensed matter physics through interdisciplinary collaboration.

Mathieu Luisierمشاهده پروفایل

استاد

• Computational Nanoelectronics
• Device Physics
• Quantum Transport
• +۷ مورد دیگر

Prof. Mathieu Luisier is a Full Professor of Computational Nanoelectronics at ETH Zurich's Department of Information Technology and Electrical Engineering. He earned his PhD in 2007 from ETH Zurich, followed by postdoctoral research there and a role as Research Assistant Professor at Purdue University (2008–2011). His research focuses on nanoscale device modeling, including nanowire transistors, memristors, and 2D semiconductors, with a strong emphasis on quantum transport and high-performance computing. ERC Starting Grant (2013) SNSF Advanced Grant (2022) ACM Gordon Bell Prize (2019) His work integrates advanced simulation techniques like GW approximations and parallel algorithms to address challenges in nanoelectronics. He teaches courses on digital circuits and integrated systems, and leads research groups exploring next-generation devices for applications in quantum computing and neuromorphic systems.

Alan Lewisمشاهده پروفایل

مدرس

• Machine Learning for Quantum Chemistry
• Electronic Structure Theory
• Computational Materials Science
• +۲ مورد دیگر

Alan Lewis is Lecturer in Digital Chemistry at the University of York, specializing in machine learning methods for electronic structure simulations. He develops computational tools to accelerate and interpret quantum mechanical calculations, including the SALTED ML package and contributions to FHI-aims. Research Focus: ML prediction of electron densities and response properties; interpretable models for spectroscopy; software development for condensed-phase systems. Combines quantum dynamics with data science to study excitonic materials and radical pair reactions. Education & Career: MChem and D.Phil from University of Oxford (2017). Postdoctoral work at University of Chicago and Max Planck Institute for the Structure and Dynamics of Matter (Hamburg). Joined York in 2023. Teaching: Leads modules in Physical Chemistry and Data Science, emphasizing computational methods across chemistry curricula.

• Statistics
• Fuzzy Logic
• Time Series Forecasting
• +۵ مورد دیگر

Abel Rubio Fornes is a researcher affiliated with the Faculty of Mathematics at the Universitat de València, specifically in the Department of Statistics and Operational Research. He earned his PhD in 2020 with a thesis on fuzzy prediction models and algorithms, supervised by Dr. Enriqueta Vercher González and Dr. José Domingo Bermúdez Edo. Institution: Universitat de València School: Faculty of Mathematics Department: Department of Statistics and Operational Research PhD: 2020, Universitat de València His research focuses on statistical modeling, fuzzy logic, and computational finance, particularly in forecasting portfolio returns using advanced time series techniques. His work bridges mathematical statistics with practical financial applications, emphasizing uncertainty quantification and predictive accuracy. The available publications show a strong trend in applying fuzzy systems to financial forecasting, with a secondary contribution to computational physics methods in an earlier work. This indicates an interdisciplinary profile with a core in applied statistics and optimization. He has not received any scientific awards mentioned in the provided data. Rubio Fornes has advised or collaborated with researchers in quantitative finance and has co-authored significant works, though no formal students are listed. His research is supported by collaborations within the statistics and operational research community at his institution. He is associated with research groups focusing on statistical modeling and financial applications, though specific lab names are not provided.

• Condensed Matter Physics
• Electronic Structure Theory
• Many-Body Quantum Theory
• +۶ مورد دیگر

Krister Karlsson is a Professor of Physics at the University of Skövde, affiliated with the School of Engineering Science. His research focuses on theoretical condensed matter physics, particularly in the areas of electronic structure calculations, many-body quantum theory, and density functional theory. With a career spanning several decades, Professor Karlsson has made significant contributions to our understanding of correlated electron systems, magnetic materials, and semiconductor physics. Professor Karlsson's research interests center on the theoretical foundations of condensed matter physics. His work explores the electronic structure of materials using advanced computational methods including GW approximation, dynamical mean field theory, and first-principles calculations. He has made particular contributions to understanding orbital magnetism, electron correlations in cuprates and dilute magnetic semiconductors, and the development of theoretical frameworks for describing complex quantum materials. His research bridges fundamental quantum theory with practical applications in materials science and spintronics. Analysis of Professor Karlsson's publication record reveals a consistent focus on developing and applying advanced theoretical methods to understand complex quantum phenomena in solids. His work spans from fundamental investigations of many-body effects in simple systems to applications in technologically relevant materials like dilute magnetic semiconductors. A notable trend is his long-standing interest in improving the accuracy of electronic structure calculations for strongly correlated systems, with publications spanning from early work on plasmon satellites in the 1990s to recent developments in time-dependent density functional theory. Professor Karlsson has supervised numerous research projects and students throughout his career, contributing to the development of the next generation of theoretical physicists. His collaborative research extends across international boundaries, with frequent co-authorship with researchers from various institutions. Professor Karlsson maintains an active research laboratory focused on computational condensed matter physics. His team utilizes advanced computational methods to investigate electronic structure problems, with particular emphasis on developing more accurate theoretical frameworks for describing correlated electron systems. The research group maintains strong connections with experimental groups to validate theoretical predictions and guide new experimental investigations.

Björn Baumeierمشاهده پروفایل

دانشیار

• Multiscale Simulation
• Electronic Transport
• Soft Matter
• +۷ مورد دیگر

Björn Baumeier is an Associate Professor at Eindhoven University of Technology (TU/e), Department of Mathematics and Computer Science. His research focuses on multiscale simulation techniques for electronic transport in soft matter, combining computational chemistry, statistical physics, and mathematics. He is affiliated with the Centre for Analysis, Scientific Computing and Applications (CASA) and the Institute for Complex Molecular Systems (ICMS). He received a Vidi grant (€800,000) from NWO in 2017 for studying electronic transport in molecular systems. His research interests include: multiscale modeling of charge transport, quantum-classical coupling in molecular systems, and excitonic processes in organic semiconductors. Key topics are electronic structure-morphology interplay, biomolecular assemblies, and super-coarse-grained materials modeling. Recent work emphasizes interface effects in dielectrics, charge trapping mechanisms, and embedded many-body Green’s function methods. He has developed the VOTCA framework for multiscale simulations. His educational contributions include courses on molecular modeling, numerical linear algebra, and advanced ODE simulation methods. Honors include the NWO Vidi Award for pioneering work on supramolecular nanostructures. Supervised 28 research works and led projects funded by NWO and EU initiatives. Active in collaborative research across Europe and the U.S., with interdisciplinary focus on sustainable energy materials aligning with UN SDGs.

• Materials Engineering
• Condensed Matter Physics
• Quantum Dynamics Simulations
• +۳ مورد دیگر

Professor Andrew Horsfield is a Visiting Professor in the Department of Materials at Imperial College London, part of the Faculty of Engineering. He retired in 2024 but continues his academic contributions. His research focuses on materials engineering and condensed matter physics, with expertise in computational modeling of materials, quantum dynamics simulations, and first-principles calculations. Key areas include corrosion mechanisms of metals like magnesium and zirconium, electronic structure analysis, and molecular-level sensor design. Education: Joined Imperial College in 2007 as a faculty member, later transitioning to Visiting Professor. Research Themes: Extensive work on magnesium and zirconium corrosion, electronic properties of materials, and quantum phenomena in nanoscale systems. Publications: Over 80 peer-reviewed articles since 2007, emphasizing computational methods and their applications to material science challenges. His recent studies explore hydrogen bonding under strain, interface polarization in electrochemical systems, and machine learning-enhanced electronic structure calculations. Horsfield’s interdisciplinary approach bridges theoretical physics and applied materials engineering, addressing industrial challenges such as corrosion prevention and sensor development.

Dominika Zgidمشاهده پروفایل

استاد

• Theoretical Condensed Matter Physics
• Theoretical Atomic, Molecular & Optical Physics
• Quantum Chemistry
• +۳ مورد دیگر

Dr. Dominika Zgid is a Professor of Physics and Chemistry at the University of Michigan. Her research focuses on theoretical condensed matter physics, theoretical atomic, molecular, and optical physics, with a strong emphasis on developing advanced computational methods to understand electron correlation effects in materials and molecules. She holds a Ph.D. from the University of Waterloo (2008) and a B.Sc. from the University of Warsaw (2003). Her work bridges chemistry, physics, and materials science, aiming to create accurate theoretical tools for predicting experimentally relevant properties. Key projects include developing self-energy embedding theory (SEET), improving GW approximations, and exploring quantum computing applications for electronic structure problems. She has been recognized with a NSF CAREER Award in 2015 for her innovative contributions to Green's function methods. Zgid’s research addresses challenges such as describing weakly and strongly correlated electrons in transition metal systems, optimizing basis sets for solids, and modeling catalytic surfaces. Her group actively collaborates on projects involving molecular magnets, quantum dots, and superexchange mechanisms in heterostructures.

• Condensed Matter Physics
• Quantum Information Science
• Electronic Structure Theory
• +۵ مورد دیگر

Marco Govoni is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Physics, Informatics, and Mathematics. His research focuses on quantum defects, electronic structure theory, and many-body perturbation methods (e.g., GW/BSE), with applications to spin defects in semiconductors for quantum technologies, perovskites, and heterogeneous materials. He develops computational tools like the WEST code and explores quantum simulations on high-performance and near-term quantum computers. He teaches courses in General Physics and Theoretical Physics, emphasizing computational methods and material science. Research interests include: condensed matter physics, quantum computing, electronic structure theory, defect engineering, and computational material discovery. His work addresses challenges in simulating large systems, optimizing hybrid functionals, and leveraging GPU acceleration for many-body calculations. Key contributions include studies on self-trapped excitons, spin defects in diamond/SiC, and dielectric-dependent functionals for heterogeneous interfaces. Publications span topics like quantum defect embedding theory, GPU-accelerated Bethe-Salpeter equation solutions, and machine learning for dielectric screening. He collaborates widely, contributing to software interoperability and exascale computing strategies for electronic structure codes.

Yuanxi Wangمشاهده پروفایل

استادیار

• Computational materials theory
• Nanophysics of 2D materials
• Linear and nonlinear optics
• +۵ مورد دیگر

Dr. Yuanxi Wang is an Assistant Professor of Physics at the University of North Texas (UNT). His research focuses on computational materials theory, particularly in 2D materials like graphene, 2D semiconductors, air-stable 2D metals, and layered topological materials. He employs advanced computational tools such as density functional theory (DFT), many-body perturbation theory, and empirical forcefields to study electronic, optical, and mechanical properties of materials. His work emphasizes collaboration with experimentalists to bridge theory and practical applications in quantum photonics, spintronics, and optoelectronics. Education: Ph.D. in Materials Science (Pennsylvania State University, 2016). Research interests include defect physics, nonlinear optics, crystal growth modeling, and superconductivity in 2D systems. His theoretical frameworks address challenges in material synthesis, interfacial engineering, and device functionality. Recent studies explore quantum confined luminescence, insulator-to-metal transitions in layered semiconductors, and spin-orbit torque generation in Pb/Graphene heterostructures. He has developed novel methods for stabilizing air-stable 2D metals and optimizing nonlinear optical properties of inorganic crystals. No scientific awards or grants are explicitly listed. His research group focuses on advancing 2D material theory through multiscale computational modeling and experimental collaboration.