جست‌وجوی استاد و پژوهشگر

Matthieu Verstraeteمشاهده پروفایل

استاد

• Condensed Matter Physics
• Nanomaterials
• Quantum Materials
• +۷ مورد دیگر

Prof. Matthieu Verstraete is a Professor in Condensed Matter Theory, Statistical and Computational Physics at Utrecht University's Faculty of Science. His research focuses on quantum materials, nanomaterials, and electronic structure theory, with applications to thermoelectric materials, magnetic systems, and quantum phenomena. He leads the Ab initio simulations of quantum materials research group, leveraging computational methods like density functional theory (DFT) and advanced first-principles modeling. Key research areas include: Quantum magnetic materials and spintronics Thermoelectric properties of 2D and bulk materials Phonon physics and thermal transport Electronic structure theory for complex systems Notable contributions include developing the TDEP software for temperature-dependent effective potentials and pioneering studies on spin-entropy effects in 2D magnets. His work bridges computational materials science with experimental validation, collaborating globally on topics like FeRh phase transitions and graphene thermal properties.

• Condensed Matter Physics
• Materials Science
• Nanotechnology
• +۳ مورد دیگر

Dhani Nafday is a Research Fellow at the Department of Physics of Light and Matter at KTH Royal Institute of Technology. His research focuses on advanced materials and condensed matter physics, with emphasis on 2D materials, spintronics, and computational modeling of electronic and magnetic properties. Key research interests include charge-density waves, spin-orbit interactions, and the design of novel materials such as transition metal ceramics and hybrid perovskites. He explores interfaces between graphene and MXene, as well as the mechanical and electronic properties of MXene under doping. His work also addresses fundamental questions about disordered systems and adatom magnetism on graphene surfaces. Recent publications highlight contributions to understanding bilayer systems, ferromagnetism in layered hybrids, and the effects of particle size on metallic behavior. While no specific awards or grants are listed, his active publication record indicates sustained engagement with cutting-edge topics in materials science and condensed matter physics.

• Metallurgical Engineering
• Materials Science
• Steel Production Optimization
• +۵ مورد دیگر

Björn Glaser is a Senior Lecturer and Head of the Unit of Processes at KTH Royal Institute of Technology. He specializes in metallurgical processes, materials science, and circular economy applications. His research focuses on optimizing steel production, slag dynamics, and process automation, with a particular emphasis on sustainable materials and energy-efficient industrial methods. Glaser supervises multiple academic programs, including the Circular Economy for Material Processes and Economic Process Analysis and Strategy , and serves as an examiner for graduate-level courses in materials and process design. His work integrates advanced computational tools like machine learning and physics-informed data-driven models to enhance process control and material quality. Research highlights include developing AI-based models for scrap optimization, analyzing blast furnace dynamics, and exploring biocarbon substitutes in metallurgical electrodes. He leads the Unit of Processes, fostering interdisciplinary collaboration in areas such as fluid dynamics, thermodynamics, and industrial reactor design. Notable projects include the BLEMAB initiative using muon radiography to image blast furnaces, and the INEVITABLE project digitizing metallurgical processes. His contributions bridge theoretical modeling and industrial applications, addressing global challenges in resource efficiency and sustainable manufacturing.

• Materials Science
• Catalysis
• Hydrogen Storage
• +۳ مورد دیگر

Claudio Miguel Lousada Patricio is a Researcher at KTH Royal Institute of Technology, where he teaches courses such as Functional Materials (MH2300) and Materials Design I (MH1030). His research focuses on materials science, catalysis, and surface chemistry with a particular emphasis on hydrogen storage, photocatalytic materials, and the behavior of impurities in metallic systems. His work employs computational methods and experimental techniques to study phenomena like grain boundary segregation, hydrogen adsorption, and reaction mechanisms at material interfaces. Key research areas include the design of advanced materials for energy applications (e.g., hydrogen production via water splitting), understanding diffusion mechanisms in metals like copper and aluminum, and exploring the interactions between viral proteins and metallic surfaces. His contributions span over 40 peer-reviewed articles, with recent studies addressing topics such as copper hydride synthesis, oxide growth on aluminum surfaces, and the environmental remediation of steel-making dust. Dr. Lousada Patricio's work bridges computational modeling (e.g., density functional theory) with experimental validation, contributing to both fundamental materials science and applied technologies. His research has implications for sustainable energy systems, metallurgical processes, and environmental chemistry.

Kerstin Hummerمشاهده پروفایل

دانشیار

• Computational Materials Science
• Photocatalysis
• Excitonic Systems
• +۴ مورد دیگر

Kerstin Hummer is an Associate Professor in Computational Materials Physics at the University of Vienna's Faculty of Physics. She leads research on ab-initio modeling of materials using density functional theory (DFT) and advanced computational methods, with applications in photocatalysis, exciton dynamics, and bandgap engineering. Her group investigates low-dimensional materials like transition metal dichalcogenides and semiconductor alloys, focusing on electronic, optical, and vibrational properties. Recent work includes neural network potentials for simulating ion diffusion in telluride materials and spectroscopic analysis of copper-zeolite catalysts. Publications demonstrate consistent focus on improving DFT methods through hybrid functionals, with applications spanning ZnO semiconductors, III-V compounds, and organic molecular crystals. Her teaching includes courses on scientific computing and light-matter interaction. Awards include the L'ORÉAL 'For Women in Science' fellowship and AT&S Research Grant for innovations in materials modeling.

Nazanin Bassiri-Gharbمشاهده پروفایل

استاد

• Ceramics
• Composites
• Nanostructures
• +۷ مورد دیگر

Nazanin Bassiri-Gharb is the Harris Saunders Jr. Chair and Professor at the Woodruff School of Mechanical Engineering, Georgia Institute of Technology. She holds fellowships in AAAS, IEEE, MRS, and IMBE. Her research spans nanostructures, ceramics, ferroelectric/piezoelectric materials, and machine learning applications in materials science. Research interests focus on electro-chemo-mechanical functionalities in thin films, energy storage systems, and in-situ nanoscale characterization techniques like Piezoresponse Force Microscopy. Her work integrates computational and experimental approaches to establish processing-structure-property relationships in functional materials. Recent publications emphasize machine learning in materials discovery, nanoscale ferroelectric phenomena, and novel synthesis techniques, reflecting a multidisciplinary approach bridging materials science, physics, and data science. Scientific Awards: AAAS Fellow IEEE Fellow MRS Fellow IMBE Fellow

Gregory Chassمشاهده پروفایل

استاد

• Computational Chemistry
• Materials Science
• Carbon Capture Utilisation (CCU)
• +۵ مورد دیگر

Dr. Gregory Chass is a Reader in Computational Chemistry at Queen Mary University of London's School of Physical and Chemical Sciences. He leads the Centre for Chemical Research and is part of the Centre for Experimental and Applied Physics. His academic roles include Director of Graduate Studies. His research focuses on computational chemistry and materials science, with emphases on carbon capture utilization, cementitious materials, disordered functional materials, and bioactive compounds like cannabinoids. He explores topics such as neutron scattering, techno-economic analyses, and industrial waste repurposing. Research Interests: Carbon Capture & Utilization (CCU) Concrete & Cementitious Materials Disordered Materials & Functional Disorder Industrial Chemistry & Waste Repurposing Psychedelics & Cannabinoids His recent work includes studies on photocatalytic SrTiO₃ doped materials, lithium battery SEI analysis, and bioactive cannabinoid conformations. He has secured grants such as the Leverhulme Trust-funded project on CO₂ mineralization (2024–2027) and an EU grant on mineral carbonation (2019–2023). Advising & Grants: Supervises PhD student Mustafa Mahmoud. His research is supported by grants totaling over £700k. Labs/Teams: Active in the Centre for Chemical Research and collaborates with experimental physics teams.

Andrei Sapelkinمشاهده پروفایل

مدرس ارشد

• Nanoparticle Synthesis
• Quantum Dots
• X-ray Scattering
• +۴ مورد دیگر

Dr. Andrei Sapelkin is a Senior Lecturer at Queen Mary University of London, affiliated with the School of Physical and Chemical Sciences and the Centre for Chemical Research. His research focuses on atomic structure, interatomic interactions, and optical/electronic properties of non-periodic materials such as nanoparticles and quantum dots. His experimental work leverages X-ray absorption spectroscopy, synchrotron radiation, and Raman scattering, while computational methods include ab initio and DFT codes for modeling materials properties. He collaborates widely in bio-applications of nanoscale systems. Education: Not explicitly detailed in text, but implies PhD in Materials Science/Physics. Research Interests: Sapelkin's work spans experimental and computational methods to probe material behavior under extreme conditions (high pressure, temperature, laser excitation). Key areas include quantum dot synthesis, magic-size clusters, and bio-applications. His interdisciplinary approach integrates chemistry, physics, and materials science for advanced nanomaterial characterization. Grants & Funding: Includes EPSRC grants for equipment (2025), Diamond Light Source studentships (2021-2024), and British Council-funded collaborations (2019-2022). Projects focus on pair correlations in clusters, dynamic phenomena in soft matter, and atomic disorder analysis. Labs & Teams: Leads research groups in the Centre for Chemical Research and Centre for Experimental and Applied Physics. Collaborates with chemists, biologists, and materials scientists across multiple institutions.

Francois Gygiمشاهده پروفایل

استاد

• Computational Materials Science
• Quantum Chemistry
• First-Principles Molecular Dynamics
• +۵ مورد دیگر

Dr. Francois Gygi is a Professor of Computer Science at the University of California, Davis, within the College of Engineering. His research focuses on developing numerical simulation methods for computational materials science, computational physics, and chemistry, particularly in First-Principles Molecular Dynamics (FPMD). He specializes in integrating efficient parallel algorithms into simulation codes to study materials like solids, liquids, nanoparticles, and biomolecules. His work addresses challenges in exascale computing and software interoperability for large-scale quantum simulations. Research interests include electronic structure calculations, density functional theory (DFT), and the development of high-performance computational tools like Qbox and WEST. His studies explore semiconductor interfaces, interfacial water properties, and materials for energy conversion such as photoelectrodes for solar water splitting. Gygi also investigates defects in semiconductors (e.g., silicon carbide) and nanoscale phenomena like spin defects and cluster dynamics. Publications emphasize algorithm verification, material characterization via spectroscopy (Raman, ATR-IR), and the impact of temperature/solvation on material energetics. Collaborations involve cross-disciplinary teams to advance predictive simulations for energy technologies and quantum computing materials. No specific awards or grants are listed in the provided text, though his contributions align with exascale computing initiatives and materials science advancements.

Yuan Liuمشاهده پروفایل

استادیار

• Quantum Information Science
• Quantum Computing
• Theoretical Chemistry
• +۳ مورد دیگر

Yuan Liu is an Assistant Professor in the Department of Electrical and Computer Engineering and Computer Science at North Carolina State University, with an affiliation in Physics. He holds a B.S. in Physics from Tsinghua University (2015), followed by M.S. in Electrical Engineering and Ph.D. in Chemical Physics from Brown University (2018 and 2020). Prior to NC State, he was a postdoctoral researcher at MIT's Research Laboratory of Electronics and Department of Physics. His research focuses on quantum information science, quantum engineering, and their intersections with theoretical chemistry and computer architecture. Key subfields include quantum algorithms, hybrid quantum systems (oscillator-qubit), error mitigation, and quantum sensing. Research Highlights: Liu's work emphasizes hybrid continuous-discrete variable quantum computing , quantum signal processing , and compiler frameworks for Hamiltonian simulation . Recent projects include developing the Genesis compiler for hybrid quantum systems and exploring multinode superconducting architectures (ARQUIN). His innovations address scalability and error correction challenges in quantum computing. Awards: Scialog Fellow (2025) ECE Rising Star Award (2025) William R. Potter Prize (2020) Sigma Xi Award (2019) Leadership & Engagement: Liu leads a $10M DOE-funded quantum computing project collaborating with national labs (e.g., Lawrence Berkeley) and universities. His lab designs quantum sensors and explores applications in chemistry and materials science. Recent advancements include general frameworks for quantum sensor design and protocols for real-time dynamics simulation.

Tan Ahnمشاهده پروفایل

دانشیار

• Nuclear Structure
• Cluster Structure of Nuclei
• Ab-Initio Nuclear Theory
• +۳ مورد دیگر

Tan Ahn is an Associate Professor in the Department of Physics & Astronomy at the University of Notre Dame. His research focuses on experimental nuclear physics, particularly cluster structure in nuclei, testing ab-initio theories, and developing active-target techniques using radioactive ion beams. He leads experiments at facilities like the Institute for Structure and Nuclear Astrophysics (ISNA) at Notre Dame, ATLAS at Argonne, and NSCL at Michigan State University. His work addresses astrophysical phenomena such as X-ray bursts and nucleosynthesis processes. Education: B.S., M.S., and Ph.D. in Physics from Stony Brook University (2002–2008). Postdoctoral and research roles included Yale University (2008–2011), Michigan State University (2011–2014), and institutions in Germany (2006–2008). Teaching includes adjunct roles at the University of New Haven and teaching assistantships at Stony Brook. Research interests include fusion reactions with halo nuclei, gamma-ray spectroscopy, and detector development. His lab develops active-target time-projection chambers (AT-TPC) to study unstable nuclei. Collaborations involve international teams and cutting-edge facilities. Current projects explore cluster structures in light nuclei, alpha-induced reactions for astrophysics, and fusion studies with radioactive beams. Students and postdocs in his group work on detector design, data analysis, and experimental techniques.

Maxime Brodeurمشاهده پروفایل

دانشیار

• Nuclear Physics
• Precision Measurements
• Particle Physics
• +۳ مورد دیگر

Maxime Brodeur is an Associate Professor in the Department of Physics and Astronomy at the University of Notre Dame, part of the College of Science. His research focuses on answering fundamental questions about the universe’s heaviest elements and testing the Standard Model through precision measurements of atomic masses and half-lives of unstable nuclei. He leads the development of the St. Benedict facility to study beta decays and operates the Nuclear Science Laboratory for precision experiments. Brodeur holds a Ph.D. (2010) from the University of British Columbia and a B.Sc. (2003) from Université de Montréal. He has held faculty positions at Notre Dame since 2013 and was named the Ortenzio Family Assistant Professor in 2015. His research interests include low-energy nuclear physics, precision mass measurements, and astrophysical processes like the rapid neutron capture (r-process). Key areas of focus are exotic nuclei, beta decay dynamics, and Standard Model validation. His work combines experimental techniques like Penning traps and multi-reflection time-of-flight spectrometers with advanced facilities like the N=126 Factory at Argonne National Laboratory. Recent studies highlight precision mass measurements of neutron-rich isotopes and mirror transitions, contributing to nuclear astrophysics and particle physics. Brodeur has secured over $20M in grants, including NSF funding for the Notre Dame Nuclear Science Laboratory and facility development. He mentors numerous graduate and undergraduate students, advising on projects ranging from beta decay experiments to multi-nucleon transfer reactions. Brodeur also chairs committees for graduate recruitment and colloquia at Notre Dame and serves on national and international review panels.

• Nuclear Structure Theory
• Ab Initio Computational Methods
• Quantum Many-Body Systems
• +۳ مورد دیگر

Mark Caprio is a Professor of Physics and Astronomy at the University of Notre Dame, affiliated with the College of Science. His research focuses on nuclear structure theory, particularly ab initio computational methods and quantum many-body systems. He holds a B.S. from Oglethorpe University and a Ph.D. from Yale University. Caprio has received notable awards, including the Cottrell Scholar Award (2010) and teaching excellence recognitions. He has supervised numerous doctoral and undergraduate students, contributing to advancements in nuclear theory and computational physics. Education: B.S. Physics & Mathematics (Oglethorpe University, 1994); M.S., M.Phil., Ph.D. (Yale University, 1999-2003). Research Interests: Nuclear collective structure, phase transitions in quantum many-body systems, and symmetry-based approaches. His work bridges microscopic ab initio methods with macroscopic models like the interacting boson model. Publications: Over 100 peer-reviewed articles, including studies on nuclear electric quadrupole observables, symmetry emergence in ab initio frameworks, and rotational band dynamics. Recent work explores tidal waves in nuclei and symplectic no-core configuration interaction methods. Awards: Burns Award (2023), Shilts/Leonard Teaching Award (2017), and APS Outstanding Referee (2022). Professional Contributions: Editor of European Physical Journal A, conference organizer, and contributor to national training programs. Active in computational physics education and outreach.

Amy Liuمشاهده پروفایل

استاد

• Materials Science
• Condensed Matter Physics
• Quantum Mechanics
• +۶ مورد دیگر

Amy Liu is a Professor in the Department of Physics at Georgetown University, affiliated with the College of Arts & Sciences. She holds a Ph.D. in Physics from UC Berkeley (1991) and an A.B. in Physics from Cornell University (1985). Her research focuses on computational studies of materials' electronic, structural, and vibrational properties, including superconductivity, charge density waves, and boron cluster stability. She also investigates physics education reforms in undergraduate settings. Research interests span ab initio calculations of electron-phonon coupling in layered superconductors (e.g., MgB2), boron fullerene stability, and competing electronic instabilities in charge density wave materials. Her educational work evaluates pedagogical reforms for physics majors at Georgetown. No scientific awards are listed, and no advising/grants information is provided. Her computational research group explores material properties using quantum-mechanical approaches.

Gen Yinمشاهده پروفایل

استادیار

• Spintronics
• Topological Materials
• Condensed Matter Physics
• +۳ مورد دیگر

Prof. Gen Yin is an Assistant Professor in the Department of Physics at Georgetown University, part of the College of Arts & Sciences. He holds a Ph.D. in Electrical and Computer Engineering from the University of California, Riverside (2015), followed by postdoctoral research at UCLA (2016–2020) as a postdoctoral researcher and Assistant Project Scientist. His research focuses on theoretical and computational studies of charge, spin, and heat transport in solid-state materials, emphasizing topology, spin structures, and spin-orbit coupling. Key projects include van der Waals spintronics, topological insulators, antiferromagnetic spintronics, and AI-driven physics research. His group develops tools like density functional theory, machine learning, and micromagnetic simulations, collaborating closely with experimentalists. Research interests span transport theory, topological magnetism, quantum phenomena, and AI-assisted material discovery. Recent work includes studies on quantum anomalous Hall effects, Berry phase modulation, and high-entropy alloys. His team explores applications in next-generation devices, such as neuromorphic computing and magnetic memory. Publications highlight advancements in topological materials, machine learning for magnetometry, and nanowire networks. Collaborators include institutions like UCLA, MIT, and national labs. Advising includes Ph.D. students and postdocs focusing on computational and experimental physics. Labs are based in the Reiss Science Building at Georgetown.