جست‌وجوی استاد و پژوهشگر

Yinghong Shengمشاهده پروفایل

استاد

• Computational Chemistry
• Molecular Dynamics Simulation
• Organic Chemistry
• +۸ مورد دیگر

Yinghong Sheng is a Professor in the Department of Chemistry & Physics at Florida Gulf Coast University (FGCU). He holds a Ph.D. from Nanjing University (China) and has postdoctoral training at Jackson State University, Emory University, and visiting scholarships at The Hong Kong University of Science & Technology. His research focuses on computational chemistry, molecular dynamics, and interdisciplinary applications in materials, biochemistry, and environmental science. Sheng's teaching includes General Chemistry, Physical Chemistry, and Computational Modeling courses. He has secured grants totaling over $20M, including the Center for Chemical Evolution (NSF/NASA) and FGCU Research Venture Fund. Notable awards include the FGCU Junior Faculty Teaching Excellence Award (2008–2009). His research interests span reaction mechanisms, organometallic chemistry, material properties, and nitric oxide synthase. Recent work includes HS⁻ sensing mechanisms, ionic liquid design for gene delivery, and electron transfer in biomolecules. Over 40 peer-reviewed publications and active collaborations highlight his contributions to computational and experimental chemistry. Sheng leads FGCU's computational modeling initiatives, including HPC server acquisitions and CARC grant computing resources. His lab bridges theory and experiment, emphasizing student training in advanced computational methods.

• Mathematical Modelling of Infectious Diseases
• Computational Materials Science
• Theoretical Semiconductor Physics
• +۵ مورد دیگر

Dr. Maja Krcmar is a Professor of Physics at Grand Valley State University (GVSU), part of the College of Liberal Arts & Sciences. She holds a Ph.D. in Physics (Condensed Matter Theory) from Texas A&M University (2001) and has been with GVSU since 2004, progressing from Adjunct Faculty to her current rank. Her research spans computational materials science, theoretical semiconductor physics, and recently mathematical modeling of infectious diseases. She teaches a wide range of physics courses including computational physics, solid-state physics, and advanced mechanics. Education: Ph.D., Texas A&M (2001); M.S., Texas A&M (1998); B.S., University of Belgrade (1995). Research interests include structural phase transformations in alloys, ferroelectric oxides, and nanocluster dynamics. She collaborates on projects involving first-principles calculations and molecular dynamics simulations. Dr. Krcmar has advised numerous undergraduate research projects in computational physics and materials modeling. Selected publications highlight work on shape-memory alloys, semiconductor carrier dynamics, and phase stability in intermetallic systems. Her recent focus on infectious disease modeling reflects an adaptation to pandemic-era challenges in applied physics.

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

Nikita Matsunaga is an Associate Professor of Chemistry and Biochemistry at Long Island University, specializing in computational chemistry and the mechanisms of vision processes. With a Ph.D. from Iowa State University and a B.A. from American International College, their research integrates quantum chemistry and theoretical modeling. Education: B.A., American International College Ph.D., Iowa State University Research Interests: Dr. Matsunaga’s work focuses on computational chemistry, quantum chemistry, and theoretical modeling of molecular systems. Key areas include spin-orbit coupling, potential energy curves, reactive oxygen species, conjugation effects, and molecular conduction mechanisms. Their research bridges chemical physics and biochemistry through ab initio methods. Recent Publications Trends: Recent articles highlight applications of ab initio quantum chemistry in studying molecular orbital interactions, spin-orbit coupling in transition elements, reactive oxygen species modeling, and thermodynamic stability analysis. Subfields include nonadiabatic coupling integrals, dendrimer synthesis for electrooptical uses, and radical stabilization energetics.

Kendra Letchworth-Weaverمشاهده پروفایل

دانشیار

• Computational Physics
• Renewable Energy Technology
• Solid-Liquid Interfaces
• +۳ مورد دیگر

Kendra Letchworth-Weaver is an Associate Professor in the Department of Physics & Astronomy at James Madison University (JMU), where she has been since 2018. Her research focuses on computational modeling of solid-liquid interfaces critical to renewable energy technologies, including batteries and water filtration systems. She leverages JMU's high-performance computing resources and open-source software to study atomic-scale phenomena at material surfaces. Dr. Letchworth-Weaver earned her Ph.D. in Theoretical Physics from Cornell University (2016) and a BS in Physics & Mathematics from The College of William and Mary (2007). Her work bridges computational physics with experimental validation, particularly through X-ray reflectivity analysis and density functional theory (DFT). Research Interests: Computational modeling of electrochemical interfaces Materials for energy storage and sustainability Interfacial structure prediction using joint density functional theory (JDFT) Surface science and catalysis Development of computational tools for materials characterization Key Research Trends in Articles: Her publications emphasize computational-experimental synergy, advancing understanding of complex interfaces in energy systems. Recent work includes optimizing strontium titanate surfaces for heteroepitaxy, validating interfacial models via X-ray data, and developing machine learning approaches for materials discovery. Education-focused papers address diversity and inclusion in physics education. Labs & Resources: Her research uses JMU's Madison Accelerator Lab and high-performance computing cluster, complemented by collaborations in theoretical physics and computational chemistry. She actively contributes to open-source software like JDFTx.

Liu Liuمشاهده پروفایل

استادیار

• Computer Architecture
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Liu Liu is an Assistant Professor in the Department of Electrical Computer and Systems Engineering (ECSE). His research focuses on the intersection of computer architecture and artificial intelligence/machine learning (AI/ML), emphasizing hardware-algorithm co-design to enhance efficiency, performance, and robustness in AI systems. He joined ECSE in 2022 after earning his Ph.D. from the University of California Santa Barbara in Computer Science and holds an M.S. in Computer Engineering and a B.Eng. in Information Display and Optoelectronics from UC Santa Barbara and the University of Electronic Science and Technology in China, respectively. Liu’s educational background includes: Ph.D., Computer Science, University of California Santa Barbara, 2022 M.S., Computer Engineering, University of California Santa Barbara, 2015 B.Eng., Information Display and Optoelectronics, University of Electronic Science and Technology of China His research interests lie in addressing the energy efficiency challenges in AI systems through elastic algorithm-architecture co-design. He explores dynamic connectivity and adaptive architectures to reduce redundant computations, aiming for scalable and energy-efficient AI solutions. His work bridges computer architecture and machine learning, seeking to optimize both hardware and algorithmic approaches for better performance and sustainability. Liu has been recognized with the prestigious NSF CAREER Award for his project on elastic co-design for energy-efficient AI. This award supports his innovative approach to advancing sustainable AI technologies. Advising and grant activities include the NSF CAREER Award-funded research into energy-efficient AI architectures. He also engages in educational outreach to promote diversity in computing. No student advisees are explicitly listed in the provided materials. His collaborative projects involve neutron scattering studies at facilities like the ORNL Spallation Neutron Source, reflecting interdisciplinary work at the intersection of computing and materials science.

• Chalcogenides
• Thermoelectrics
• Photovoltaics
• +۳ مورد دیگر

Syam Kumar is a Researcher affiliated with the Department of Health and Nutritional Sciences at Athlone Technological University. His research focuses on advanced materials science, particularly chalcogenides, thermoelectrics, and photovoltaics. He has contributed to studies on alkali-metal-based bismuth selenides, CsSnCl3 defects, and photocatalytic applications of oxide and chalcogenide composites. His work integrates computational methods like ab initio calculations to analyze material properties. Key collaborations include projects with institutions exploring energy-efficient materials and photocatalytic systems. Recent publications highlight advancements in understanding thermoelectric properties, defect analysis, and visible-light-responsive nanocomposites. His research aligns with sustainable energy solutions and material innovation. Notable contributions include studies on AgInS2-TiO2 nanocomposites for enhanced photocatalysis and theoretical insights into Nb-, Ta-, and Bi-based materials. His work bridges fundamental material science with applied technologies for environmental and energy applications.

Alfonso Muñoz Gonzálezمشاهده پروفایل

استاد

• Condensed Matter Physics
• Computational Physics
• High-Pressure Physics
• +۳ مورد دیگر

Alfonso Muñoz González is a Full Professor of Condensed Matter and Computational Physics at the University of La Laguna (Spain). He holds a Ph.D. from Universidad Autónoma de Madrid (1986), focusing on electronic properties of surfaces and interfaces. His research spans over 30 years in high-pressure physics, with emphasis on ab initio simulations of materials under extreme conditions. He is a core member of the ELSimMat research group (Estructura Electrónica y Simulaciones ab initio de Materiales) and the MALTA Consolider Team. He has served as President of the European High Pressure Research Group (EHPRG) from 2019–2022 and currently holds roles in IUPAP's C20 Commission and the AIRAPT Executive Committee. His research interests include structural, electronic, and dynamical properties of materials under compression, with a focus on computational methods (ab initio calculations) and experimental techniques like XRD and Raman spectroscopy. Key areas of study involve topological insulators, transition metal oxides, and pressure-driven phase transitions in inorganic compounds. Recent publications highlight advancements in understanding multicenter bonding mechanisms, luminescent manometry systems, and high-pressure stability of novel materials. His work bridges theoretical predictions with experimental validation, contributing to both fundamental physics and applied materials science. Alfonso has been actively involved in international scientific organizations, including EHPRG and AIRAPT, demonstrating leadership in the global high-pressure physics community.

Silvana Elena Radescu Cioranescuمشاهده پروفایل

دانشیار

• Applied Physics
• Materials Science
• Computational Physics
• +۳ مورد دیگر

Silvana Elena Radescu Cioranescu is an Associate Professor in the Department of Physics at the University of La Laguna, Spain. She is affiliated with the INM Institute and leads research in the ELSimMat group, focusing on electronic structure and ab initio simulations of materials. Her work bridges applied physics, computational modeling, and high-pressure material science. Dr. Radescu holds a Ph.D. from the University of La Laguna (1998), supervised by Dr. José Fernando Peraza Hernández, with a thesis on structural phase transitions using a 3D Phi4 Hamiltonian model. Her research interests emphasize high-pressure structural stability, electronic properties of novel materials, and computational methods like ab initio simulations. Key areas include semiconductor alloys (Si/Ge), fluorinated carbon nanomaterials, and nuclear waste immobilization materials. Recent studies explore metastable phases under extreme conditions and functional nanosheets prepared via exfoliation. Her publications span over two decades, from early work on scheelite tungstates (2000s) to recent advancements in layered topological semimetals and neutron reflectivity materials. Notably, her group investigates pressure-driven phenomena such as zero thermal expansion materials and sodium-ion dynamics in complex oxides. Labs/Teams: Active member of the ELSimMat group, specializing in first-principles modeling and high-pressure experimental techniques.

• Ab initio calculations
• Quantum materials
• Transition metal oxides
• +۵ مورد دیگر

Victor Pardo Castro is an Associate Professor at the Department of Applied Physics, Faculty of Physics, Universidade de Santiago de Compostela (USC). He holds a PhD in Physics from USC (2006), with a thesis on first principles studies of cobalt oxides. His research focuses on ab initio calculations of quantum materials, including transition metal oxides, interfaces, and their electronic, magnetic, and thermoelectric properties. He has held postdoctoral positions at institutions like UC Davis and was a Ramón y Cajal Fellow (2012–2016). Education : BSc in Physics (USC, 1997–2001), PhD in Physics (USC, 2006). Postdoctoral research at USC (2006–2007), UC Davis (2007–2011), and TU Wien (2004–2006). Research : Specializes in computational materials science, particularly in designing functional materials using ab initio methods. Key areas include topological phases in oxides, thermoelectric materials, and magnetism in layered systems. His work bridges theory with experimental validation, contributing to understanding quantum phenomena like charge ordering and phase transitions. Supervision : Advised numerous students, including PhD candidates like Alberto Piñeiro Rodriguez (2013) and Antía Sánchez Botana (2013), and MSc students such as José Luis Lado Villanueva (2013) and Pablo Villar Arribi (2015). Current group members include Adolfo Otero Fumega and Jan Phillips. Membership : Part of the Materials Institute (iMATUS) and the Strategic Grouping in Materials (AEMAT). Research group: LABSIS Systems Laboratory.

Jeffrey Rufinusمشاهده پروفایل

استاد

• High Performance Computing
• Nanoscience
• Nanotechnology
• +۲ مورد دیگر

Jeffrey Rufinus, PhD, is a Professor at Widener University, affiliated with the School of Engineering's Computer Science/Information Systems (BS) and Digital Media Informatics (BA) programs. He holds a PhD in Physics from the University of Wisconsin-Madison (1999) and has prior teaching experience at the University of Wisconsin-Madison and Whitewater. His research focuses on high performance computing, nanoscience, nanotechnology, magnetism, and computational physics, particularly using computational methods to analyze nanoscale phenomena. He has published in journals such as Journal of Applied Physics and Journal of Magnetism and Magnetic Materials . Dr. Rufinus teaches courses in programming, algorithms, data communications, game programming, computer graphics, and high performance computing. He has secured grants from the National Science Foundation, NASA Langley Research Center, and computational grants from the University of Oklahoma and Pittsburgh Supercomputing Center. In 2023, he collaborated with an interdisciplinary team to publish a cancer immunotherapy discovery in Computational Biology and Chemistry , involving students from chemical engineering and computer science programs. Professional affiliations include the American Physical Society (APS) and the International Association of Mathematical Physics (IAMP). His work emphasizes computational approaches to solve complex physics problems at the nanoscale, bridging theoretical and applied research.

Christoph Schranمشاهده پروفایل

استادیار

• Computational Chemistry
• Machine Learning Potentials
• Quantum Simulations
• +۳ مورد دیگر

Dr. Christoph Schran is an Assistant Professor in the Department of Physics at the University of Cambridge, affiliated with the School of Physical Sciences. He leads the TCM Group at the Cavendish Laboratory, focusing on computational methods to study complex aqueous systems and materials chemistry. His research explores: Development of machine learning potentials for accurate simulations Behavior of water at interfaces and in nanoconfinement Ion dissolution and proton transfer mechanisms CO2 interactions with aqueous solutions Quantum simulations of molecular systems Recent publications highlight trends in computational chemistry, quantum mechanics, and nanotechnology, particularly emphasizing environmental applications like carbon capture and interfacial phenomena. His group includes researchers such as Lars Schaaf, Xavier Advincula, and Samuel Brookes.

Simon Billingeمشاهده پروفایل

استاد

• Materials Science
• Condensed Matter Physics
• Nanotechnology
• +۵ مورد دیگر

Simon Billinge is a Professor of Materials Science and Applied Physics and Applied Mathematics at Columbia University and a Scientist at Brookhaven National Laboratory. He holds a Ph.D. from the University of Pennsylvania (1992) and a B.A. from Oxford University. Previously, he served as a postdoc at Los Alamos National Laboratory and held faculty positions at Michigan State University, advancing to Full Professor by 2003. His research focuses on nanoscale structure-property relationships using advanced X-ray and neutron diffraction techniques, particularly the atomic pair distribution function (PDF) method. He has published over 200 papers and is a Fellow of the American Physical Society and Neutron Scattering Society of America. Education: Ph.D., Materials Science and Engineering, University of Pennsylvania (1992) B.A., Oxford University Research Interests: His work spans materials for energy, catalysis, environmental remediation, and pharmaceuticals. He develops PDF methods to study disordered crystals and nanomaterials, integrating machine learning for data analysis. Recent trends include AI-driven structure solutions, operando studies of catalytic materials, and materials genome initiatives. Awards: Carnegie Corporation honor (2011) for immigrant contributions 2010 J.D. Hanawalt Award Michigan State University Distinguished Faculty Award Thomas H. Osgood Teaching Award Grants and Advising: He chairs major facility reviews and federally funded programs. His team at the Billinge Group (https://thebillingegroup.com/) develops tools like MLstructureMining and ClusterFinder for structural analysis. Collaborations include Brookhaven National Lab and global initiatives like the JUAMI African Materials Institute.

• Quantum Transport
• Nanomaterials Engineering
• Graphene Technology
• +۷ مورد دیگر

Mads Brandbyge is a Professor in the Department of Physics at the Technical University of Denmark (DTU). His research focuses on quantum transport phenomena in novel nanomaterials, particularly graphene-based systems and molecular junctions. He leads advancements in computational methods for simulating electronic and structural properties at the atomic scale, with a particular emphasis on first-principles modeling using tools like TranSIESTA and QuantumATK. His work addresses fundamental questions in 2D materials engineering, including electronic decoupling in graphene heterostructures, chiral current control, and topological phase transitions. He has pioneered studies on nanoporous graphene's Talbot effect, current-induced mechanical effects in nanoconductors, and spin-polarized electron transport in nanoribbon networks. Brandbyge has contributed to the development of large-scale simulation techniques for devices exceeding 100 nm in scale, bridging atomistic modeling with practical device applications. Key areas of exploration include: Quantum interference in graphene nanostructures Vibrational and electronic properties of molecular junctions Electrochemical modulation of carbon nanocircuitry Interface engineering in photovoltaic materials Atomically precise defect control in 2D materials His recent publications (2023-2025) emphasize twistronics in graphene bilayers, spin-crossover phenomena in molecular systems, and topological transitions in strained oxides. These studies highlight a strong focus on manipulating electronic properties through atomic-scale structural control, with applications in next-generation nanoelectronics and quantum devices. Brandbyge has organized international conferences and collaborates widely in the field of 2D materials. His research methodologies integrate density functional theory, nonequilibrium Green's functions, and molecular dynamics to achieve multiscale insights into nanoscale systems.

Eugene Krasovskiiمشاهده پروفایل

استاد پژوهشی

• Electronic Structure Calculations
• Surface and Interface Physics
• Computational Spectroscopy
• +۴ مورد دیگر

Eugene Krasovskii is an Ikerbasque Research Professor at the Donostia International Physics Center (DIPC) within the University of the Basque Country. His research focuses on the electronic structure of surfaces and interfaces, computational spectroscopy, and advanced techniques like angle-resolved photoemission and electron diffraction. He has contributed extensively to understanding graphene, topological insulators, and low-dimensional materials. Key research interests include: electronic structure calculations, surface physics, quantum transport phenomena, topological phases, and advanced spectroscopic methods. His work bridges theory and experiment, addressing topics such as electron scattering dynamics, spin-orbit coupling effects, and nanoscale material characterization. Publications highlight studies on graphene-hBN heterostructures, attosecond dynamics, and surface state spin polarization. His research has advanced understanding of electronic behavior in 2D materials, topological insulators, and nanoscale interfaces. He joined DIPC in 2012 and has held previous research stays since 2002. Collaborations span experimental and theoretical groups globally, focusing on mesoscopic systems and ultrafast phenomena.

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

Kevin Conley is a Visiting Professor in the Department of Chemistry and Materials Science and the Inorganic Materials Modelling group. He holds a Doctoral degree in Natural Sciences from McGill University (2017). His research focuses on nanomaterials, particularly carbon nanotubes, electrical conductivity, and optoelectronic properties of nanoparticles. He explores topics like doping effects, plasmonic behavior, and charge transfer in nanoscale systems. Key research areas include the electrical properties of carbon nanotube networks, near-infrared responsive materials, and computational modeling of nanomaterial behavior. His work bridges theoretical simulations (e.g., ab initio methods) with experimental validation, emphasizing applications in sensors and energy materials. His articles (2017–2024) highlight trends in nanomaterial conductivity, light-matter interactions, and core-shell nanoparticle design. Collaborations involve international teams, though specific institutions are not detailed here. No scientific awards are explicitly listed. He has supervised one thesis, though student names are not provided. Research outputs include datasets on plasmon excitations and thermoelectric alloys (e.g., via Zenodo and Figshare).