جست‌وجوی استاد و پژوهشگر

Basilis Gidasمشاهده پروفایل

استاد

• Computational Molecular Biology
• Bayesian Statistics
• Computer Vision
• +۹ مورد دیگر

Professor Basilis Gidas is a faculty member in the Department of Applied Mathematics at Brown University since 1984. He holds a B.Sc. from the National Technical University of Athens and advanced degrees in Mathematics, Physics, and Mathematical Physics from the University of Michigan. His research focuses on computational molecular biology, Bayesian statistics, and interdisciplinary applications in computer vision and speech recognition. He has contributed to transcriptional regulatory networks analysis, protein folding models, and signal transduction pathways using hierarchical/syntactic models inspired by Chomsky grammars. Key projects include studying MYC regulatory networks via ChIP-chip and microarray data, phosphorylation site motif identification through mass spectrometry, and ab initio protein folding using compositional models. He served on the National Research Council’s Spatial Statistics & Image Processing panel and edits the International Journal of Imaging Science and Technology. Awards include Fellowship in the Institute of Mathematical Statistics. Teaching includes advanced courses in statistical inference (APMA 1660), mathematical statistics (APMA 2670/2680), and modern learning theory (APMA 2812D).

Morten Willatzenمشاهده پروفایل

استاد

• Quantum Physics
• Material Science
• Applied Mathematics
• +۳ مورد دیگر

Morten Willatzen is a Professor and Head of Department at the Department of Mathematical Sciences , part of the The Faculty of Engineering and Science at Aalborg University . His research focuses on quantum theory, nanostructure physics, and computational geometry, particularly in applications to material science and electrostatic phenomena. He leads the BLUE – Marine & Maritime Research initiative and is the Project Manager for the Blue Math project (2024–present). Recent work includes contributions to understanding triboelectricity through quantum models, differential geometry applications in nanostructure analysis, and tribovoltaic effects. His collaborative projects involve experts in mathematics and engineering, reflecting interdisciplinary strengths. No scientific awards are listed, but his active role in major research initiatives underscores his leadership in the field. Advising and grants include overseeing the Blue Math project, which bridges fluid dynamics and mathematics. His research outputs span book chapters and peer-reviewed articles, emphasizing both theoretical and applied physics. No formal advisees are listed, though collaborations with colleagues like Lok C. Lew Yan Voon and Benny Lassen highlight team-driven research.

• Microwave Engineering
• RF Circuit Design
• Gallium Arsenide Technology
• +۵ مورد دیگر

Sudipta Chakraborty serves as an Honorary Lecturer in the School of Engineering at Macquarie University, specializing in microwave and RF circuit design with particular expertise in Gallium Arsenide technology. With an h-index of 10 and 464 citations according to Scopus, Dr. Chakraborty maintains an active research profile with significant contributions to the field of electrical engineering. Research interests focus on microwave engineering , particularly in the development of compact RF components including power amplifiers, low-pass filters, and power dividers using advanced semiconductor technologies. The research fingerprint reveals strong expertise in Gallium Arsenide Engineering (100%), Balun Engineering (68%), Amplifier Engineering (46%), and Power Amplifier Engineering (38%), indicating a specialized focus on high-frequency circuit design and semiconductor device implementation. Recent publication trends show increasing research output with 11 publications in 2023 and continued productivity in 2024-2025, spanning both traditional microwave engineering topics and emerging areas in 2D materials research. The work demonstrates consistent focus on practical circuit implementation while exploring theoretical aspects of semiconductor materials. Dr. Chakraborty has participated in collaborative research projects including the 2019 project on W-band wireless circuit intermodulation distortion with colleagues Heimlich, Parker, and Mahon. The research portfolio shows strong industry relevance with applications in wireless communications and high-frequency electronics.

Vojtech Vlcekمشاهده پروفایل

دانشیار

• Functional & Quantum Materials
• Electronic Structure Theory
• Many-body Perturbation Theory
• +۳ مورد دیگر

Dr. Vojtech Vlcek is an Associate Professor of Chemistry at the University of California, Santa Barbara (UCSB), with a courtesy appointment in Materials. He leads the Vlcek Research Group, which focuses on developing and applying novel computational methods for electronic structure theory, particularly in nanoscale systems, molecular assemblies, and interfaces. His work emphasizes quasiparticle and electronic excitation studies, with applications in quantum materials and environmental sustainability. Education & Recognition: Vlcek holds a PhD from the Hebrew University of Jerusalem and University of Bayreuth, and completed postdoctoral training at UCLA. He has received prestigious awards including the NSF Career Award (2020) and Emerging Investigator recognitions from the Journal of Chemical Physics (2021) and Journal of Physics: Condensed Matter (2019). He is an active member of APS, ACS, MRS, and Sigma Xi. Research Interests: His group’s research spans theoretical and computational approaches to electronic structure, including stochastic many-body methods, dynamical downfolding, and non-equilibrium quantum systems. Key areas include functional/quantum materials, topological superconductors, and sustainable polymer recycling via acidolysis processes. Students & Collaborations: Supervises a diverse team of graduate/postdoctoral researchers (e.g., Xuance Jiang, Cian Reeves) and undergraduate students. Collaborates widely on projects funded by NSF and industry partners. Current advisees include co-advised PhD students across Chemistry, Materials, and Physics departments. Labs & Facilities: Hosts the Vlcek Group laboratory at UCSB, leveraging state-of-the-art computational resources and experimental collaborations. Active in developing open-source tools for electronic structure simulations.

Davide Sangiovanniمشاهده پروفایل

دانشیار

• Materials Science
• Theoretical Physics
• Computational Physics
• +۷ مورد دیگر

Davide Sangiovanni is an Associate Professor and Docent at Linköping University's Department of Physics, Chemistry and Biology (IFM), within the Theoretical Physics (TEOFY) division. His research focuses on understanding electronic mechanisms and atomistic phenomena controlling the mechanical properties, phase transformations, and surface reactivity of metals and ceramics, leveraging supercomputer-based simulations and ab initio methods. Key areas include designing refractory ceramic alloys for high-temperature applications, studying gas/surface reactions on 2D materials, and developing theoretical models for material property evaluation under practical conditions. He teaches Computational Physics to fourth-year students and contributes to undergraduate courses in physics. His work integrates theoretical physics with materials science, emphasizing computational modeling and energy materials. Sangiovanni is affiliated with research centers like FunMat-II, focusing on functional surfaces for industrial applications, and actively publishes in high-impact journals such as Acta Materialia and Science Advances . Recent research highlights include breakthroughs in toughening ceramics via polymorphic competition and achieving metal-like ductility in HfN thin films through defect engineering. His research also explores nanoscale phenomena in materials, including strain hardening in nanosandwich structures and phase stability of MAB phases. Sangiovanni's contributions to theoretical methods for material evaluation and machine learning applications in fracture analysis underscore his interdisciplinary approach. He has been recognized for advancing academic careers through his docentship and has secured grants from the Swedish Research Council.

Masahiko Matsubaraمشاهده پروفایل

عضو هیئت علمی

• Semiconductor Physics
• Materials Science
• Computational Chemistry
• +۳ مورد دیگر

Masahiko Matsubara is a Research Assistant Professor in the Department of Electrical & Computer Engineering at Boston University. His research focuses on computational materials science, semiconductor physics, and electronic properties of advanced materials. He employs first-principles calculations and ab initio modeling to study alloy systems, strain effects, and electronic transport mechanisms. Key research interests include semiconductor alloy engineering, band structure analysis, defect studies in materials like GaN and Ga2O3, and the application of quantum mechanical methods to model carrier dynamics. His work spans topics such as interfacial charge dynamics, phase diagrams of InAs-Sb alloys, and the electronic properties of wide-bandgap semiconductors. Matsubara's publications highlight contributions to understanding strain effects in semiconductor alloys, computational models for carrier transport in diamond and boron nitride, and the theoretical analysis of impact ionization coefficients in wide-bandgap materials. His research bridges computational modeling with experimental validation, addressing challenges in semiconductor device design and material stability. No scientific awards or grants are explicitly mentioned in the provided text. His work is primarily theoretical, with a focus on advancing fundamental understanding of electronic materials through advanced computational techniques.

Simon Banksمشاهده پروفایل

استاد

• Theoretical Chemistry
• Statistical Mechanics
• Quantum Reaction Dynamics
• +۳ مورد دیگر

Simon Banks is the Vice Dean (Education) within the Faculty of Natural, Mathematical and Engineering Sciences and holds the title of Professor of Natural Sciences Education at King’s College London’s Department of Chemistry. He completed his MSci and PhD in chemistry at University College London (UCL), followed by postdoctoral research at the University of Oxford (2005–2007), where he was awarded the British Ramsay Memorial Fellowship. His career transitioned to education leadership roles, including Deputy Head (Education) at UCL’s Department of Chemistry, Director of Education in the Faculty of Engineering Sciences, and Faculty Tutor before joining King’s in 2024. His research integrates theoretical chemistry with statistical mechanics and quantum dynamics, focusing on classical model magnets’ emergent phenomena and polyatomic molecular collisions. He is a Fellow of the Royal Society of Chemistry and Principal Fellow of the Higher Education Academy, emphasizing education policy and strategy. Education: MSci Chemistry, University College London PhD Chemistry, University College London Postgraduate Certificate in Learning and Teaching in Higher Education Awards: British Ramsay Memorial Fellowship (2007) Fellow of the Royal Society of Chemistry Principal Fellow of the Higher Education Academy Teaching Focus: Interdisciplinary curricula at the chemistry-physics interface for undergraduate and postgraduate programs. His publications explore magnetic systems and quantum reaction dynamics, with notable contributions to understanding long-range magnetic interactions and reduced-dimensionality methods in chemical reaction modeling.

Roberto Carمشاهده پروفایل

دانشیار

• Computational Chemistry
• Materials Science
• Condensed Matter Physics
• +۳ مورد دیگر

Roberto Car is an Associate Professor in the Department of Chemistry at Princeton University. His research focuses on computational methods for studying complex materials and molecular systems, particularly leveraging machine learning and ab initio approaches. He is renowned for pioneering the development of deep potential molecular dynamics (DPMD) methods, which combine quantum mechanics with machine learning to simulate large-scale molecular systems with unprecedented accuracy and efficiency. His work addresses fundamental questions in materials science, including phase transitions in water and ice, ferroelectricity in oxides, and quantum effects in condensed matter systems. Key contributions include the creation of the DeePMD-kit software package for deep potential models and advancements in simulating liquid-liquid transitions in water, ferroelectric phase transitions, and interfacial phenomena at oxide-electrolyte interfaces. His research integrates theoretical physics, computational chemistry, and advanced simulation techniques to explore the electronic and structural properties of materials under extreme conditions. Car’s studies often involve collaborations to validate theoretical models through experiments, emphasizing practical applications in energy storage, catalysis, and materials design. While specific awards are not listed here, his contributions have significantly impacted the field of computational materials science.

Juan Felipe Mendez-Valderramaمشاهده پروفایل

پژوهشگر

• Condensed Matter Physics
• Quantum Materials
• Topological Insulators
• +۳ مورد دیگر

Juan Felipe Mendez-Valderrama is a Postdoctoral Research Associate at Princeton University, based in Jadwin Hall. His research focuses on theoretical and computational studies of quantum materials, particularly in the areas of topological insulators, correlated electron systems, and moiré materials. He has contributed significantly to understanding fractional Chern insulators, superconductivity mechanisms, and electronic transport phenomena in novel materials. Key research interests include the interplay between magnetism and superconductivity in flat band systems, non-Fermi liquid behavior in frustrated electron systems, and the application of advanced theoretical methods like density-functional theory and renormalization group approaches. His work often bridges microscopic theory with experimental observations in moiré heterostructures and transition metal oxides. Recent studies have explored dissipationless states in high-temperature fractional Chern insulators, optical properties of graphene moiré systems, and the role of magneto-elastic interactions in materials like PdCrO₂. His methodologies include exact diagonalization, Monte Carlo simulations, and flow-equation techniques for many-body Hamiltonians. Mendez-Valderrama's publications demonstrate a strong focus on uncovering fundamental principles governing electronic behavior in quantum materials, with particular emphasis on topological phases, correlated insulators, and emergent phenomena in low-dimensional systems. He has not been mentioned as having received scientific awards in the provided texts.

• Topological Nanoelectronics
• Spintronics
• Condensed Matter Physics
• +۷ مورد دیگر

Prof. Yuriy Mokrousov leads the Topological Nanoelectronics Group at the Peter Grünberg Institute (PGI) within the Quantum Theory of Materials (PGI-1) at Research Center Jülich. His research focuses on leveraging topological concepts and geometrical phases (e.g., Berry phases) to explore novel transport phenomena in nanoelectronic materials. Key areas include spintronics, noncollinear magnets, and topological phases in complex systems such as skyrmions and altermagnets. He employs density functional theory (DFT) and first-principles methodologies to bridge theoretical predictions with experimental advances. Research interests span: dissipationless spin currents, topological transport effects, spin-orbit torques, and the interplay between magnetism and quantum geometry. His group investigates materials like Mn2Au, transition metal interfaces, and van der Waals heterostructures to uncover mechanisms for future nanoelectronic applications. Recent articles highlight advancements in orbital magnetism, domain wall dynamics, and optical manipulation of magnetic textures. Collaborations involve developing computational tools to model electronic and spin properties, with applications in spintronics and energy-related materials.

Joseph Subotnikمشاهده پروفایل

استاد

• Theoretical Chemistry
• Spectroscopy
• Physical Chemistry
• +۵ مورد دیگر

Joseph Subotnik is a Professor of Chemistry at Princeton University, affiliated with the Frick Laboratory. His research focuses on theoretical chemistry, particularly the flow of energy between light and matter, nonadiabatic dynamics, and spin physics. Key areas include surface hopping algorithms, electronic structure theory, electrochemistry, light-matter interactions, and spin-dependent phenomena like Chiral Induced Spin Selectivity (CISS). He leads the Subotnik Group, which develops novel computational methods for chemical dynamics and collaborates on experimental validations. Notable honors include the APS Fellowship (2020), Guggenheim Fellowship (2016), and multiple early-career awards such as the Packard Fellowship and PECASE (both 2012). His work bridges quantum mechanics and classical dynamics, emphasizing energy conservation and thermodynamic principles. Recent projects involve modeling cavity quantum electrodynamics effects on molecular systems and exploring spintronics in chemical contexts. Publications span high-impact journals like Science , Nature Communications , and Proceedings of the National Academy of Sciences . His research group actively addresses challenges in simulating electron transfer, molecular polaritons, and the interplay between nuclear motion and electronic states. Ongoing efforts include advancing phase-space formulations for electronic structure theory to better describe nonadiabatic phenomena.

Vladimir Tsurkanمشاهده پروفایل

دانشیار

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

Vladimir Tsurkan is an Associate Professor and Principal Scientific Researcher at the Laboratory of Physics of Semiconductor Compounds ‘Sergiu Radautsan’ within the Institute of Applied Physics (IAP) at Moldova State University. His research focuses on semiconductor materials, magnetism, and optical properties of advanced materials. He leads projects involving strain engineering, spintronics, and topological phases in materials like kagome ferromagnets and lacunar spinels. His work integrates experimental techniques such as neutron diffraction, muon spin relaxation, and optical spectroscopy with computational methods like ab initio modeling. Key research areas include: Magnetic anisotropy in topological materials Optical and electronic properties of semiconductors Spin dynamics in low-dimensional magnetic systems Strain-driven phase transitions in multiferroics He has contributed to over 50 peer-reviewed articles, with recent work exploring spin-phonon interactions, antiskyrmion stabilization, and magneto-optical effects in novel compounds. His research is supported by international collaborations under projects like H2020-MSCA-RISE and STCU grants.

Izabela Szlufarskaمشاهده پروفایل

استاد

• Computational materials science
• Mechanical behavior at the nanoscale
• Defect behavior in semiconductors and insulators under irradiation
• +۷ مورد دیگر

Izabela Szlufarska is a Professor in the Department of Materials Science & Engineering at the University of Wisconsin-Madison College of Engineering, with affiliations in Nuclear Engineering & Engineering Physics. Her research focuses on computational materials science, nanomechanics, radiation effects, and defect dynamics. PhD (2002): University of Tennessee, Knoxville MS (1999): Wroclaw University of Technology Key research areas include radiation tolerance of ceramics , machine learning for materials discovery , amorphous shear band dynamics , and tribochemical aging mechanisms . Recent work emphasizes molten salt thermophysics and high-entropy ceramics . 2025: MRS Board of Directors 2024: TMS Light Metals Award 2023: TMS Brimacombe Medalist 2016: WARF Romnes Fellowship 2008: NSF CAREER Award She teaches graduate courses in materials research and special topics. Awards highlight her leadership in radiation materials science and mentorship excellence.

• Nuclear Fuels and Materials
• Defect Thermodynamics and Kinetics
• Radiation Effects
• +۳ مورد دیگر

Yongfeng Zhang is a Research Professor in the Department of Nuclear Engineering & Engineering Physics at the University of Wisconsin-Madison College of Engineering, with affiliations in Materials Science & Engineering. His research focuses on materials aging and degradation in extreme conditions through microstructure-based modeling. Education: PhD, 2009, Rensselaer Polytechnic Institute MS, 2004, University of Science and Technology of China BS, 2001, University of Science and Technology of China Dr. Zhang investigates nuclear fuels and materials under radiation, high temperature, stress, and corrosive environments. His work uncovers degradation mechanisms by tracking microstructure evolution and constructing structure-property correlations to predict degradation rates and guide novel material development. Recent publications highlight his expertise in radiation effects , defect thermodynamics , and computational modeling of nuclear materials, with a focus on uranium alloys, thorium dioxide, and TRISO fuel microstructure. Scientific Awards: 2020 US Nuclear Regulatory Commission Faculty Development Award 2016 Exceptional Contribution and Expanded Recognition Awards at Idaho National Laboratory (INL) 2016 INL Laboratory Director’s Leadership Award Multiple scholarships from University of Science and Technology of China As a leader of the Computational Microstructure Science Group at INL and current UW-Madison faculty, Dr. Zhang teaches graduate courses like Nuclear Engineering Materials and Research and Thesis for nuclear and materials science students.

• Computational Chemistry
• Physical Chemistry
• Density Functional Theory
• +۹ مورد دیگر

Sergey Vyboyshchikov Preobrazhenskaya is an Associate Professor in the Department of Chemistry at the University of Girona, Spain. He is affiliated with the Institute of Computational Chemistry and Catalysis (IQCC) and leads research within the DiMoCat group, focusing on theoretical and computational approaches to chemical reactivity, solvation, and bonding analysis. His research interests span Computational Chemistry , Density Functional Theory , Solvation Theory , Atomic Charges , Energy Decomposition , and Machine Learning applications in chemistry . He develops efficient methods such as the Electronegativity-Equalization (ESE) approach for solvation energy and novel atomic charge schemes (ACP, I-ACP). His work bridges quantum chemistry with practical applications in catalysis and molecular modeling. His recent publications (2021–2023) show a strong trend toward integrating machine learning (particularly dense neural networks) with physical chemistry principles to create fast, accurate models for solvation free energies. These models leverage atomic charges and non-iterative algorithms, enabling high-throughput screening and simulation. His work also includes fundamental studies in confined quantum systems , vibrational theory , and main group element reactivity . He teaches courses including Numerical Methods and Programming, Chemical Kinetics, Nanotechnology, and Physical Chemistry Labs at both undergraduate and master’s levels. Contact Information: Email: sergey.vyboyshchikov@udg.edu Phone: +34-972-418362 Office: C3-106, Edifici Ciències, University of Girona