جست‌وجوی استاد و پژوهشگر

Sieun Chaeمشاهده پروفایل

استادیار

• Electronic Materials
• Semiconductors
• Neuromorphic Computing
• +۳ مورد دیگر

Sieun Chae is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Oregon State University (OSU), part of the College of Engineering. Her research focuses on the rational design of electronic materials for energy-efficient microelectronics, integrating theoretical and experimental approaches. She holds a B.S. in Materials Science and Engineering from Yonsei University (2015), an M.S. from Seoul National University (2017), and a Ph.D. from the University of Michigan (2022). Prior to her faculty position, she conducted postdoctoral research at Cornell University and worked as a research fellow in South Korea. Her research interests include ultra-wide-band-gap semiconductors, entropy-stabilized oxide memristors for neuromorphic computing, and back-end-of-line compatible semiconductors for 3D integration. Key projects involve developing novel materials for high-power electronics, low-temperature synthesis techniques, and device fabrication to demonstrate state-of-the-art performance. Her group employs first-principles calculations, high-throughput materials informatics, and epitaxial growth methods. Collaborations span computational modeling, materials synthesis, and device engineering to address challenges in power electronics and AI applications. The Chae Lab actively engages undergraduate and graduate students in projects combining theory and experimentation. Publications highlight contributions to semiconductor doping mechanisms, memristor design, and oxide alloy thermodynamics. Advising includes mentoring students in ECE, Materials Science, and Computer Science, with a focus on interdisciplinary research. Lab facilities support thin-film synthesis, materials characterization, and device prototyping.

Rudolf Petraمشاهده پروفایل

استاد

• Materials science
• Surface science
• Complex molecular rotors and switches
• +۳ مورد دیگر

Rudolf Petra is a distinguished Professor and Chair of Experimental Solid State Physics at the Zernike Institute for Advanced Materials, University of Groningen. She holds a Laurea in Physics from Università di Roma 'La Sapienza' (1987) and a PhD in Physics from Facultés Universitaires Notre-Dame de la Paix de Namur (1995). As Dean of Graduate Studies (2020–present) and former Director of the Groningen Graduate School of Science (2014–2018), she has significantly enhanced academic programs, boosting applications by 28% and achieving top national rankings for 7 programs. Her research focuses on materials science, surface science, and molecular rotors/switches, with over 8,820 citations and an h-index of 49. She has received prestigious awards including membership in the German National Academy of Science and Engineering and the DESCARTES Prize. Leadership Roles : Managed the Zernike Institute for nine years, elevating its THE materials science ranking to 4th globally and 1st in Europe. Education : Supervised 19 Bachelor's, 34 Master's, and 27 PhD students, notably fostering female representation in STEM. Research Impact : Her work spans 2D materials (e.g., germanane synthesis), molecular electronics, and superconductivity. Notable contributions include nonvolatile memory devices using molecular tunneling junctions and defect analysis in MoS₂. Awards : Elected to multiple academies, including the European Physical Society presidency. Collaborations : Visiting professorships at São Paulo, Santiago, Cagliari, and Modena universities. Labs/Teams : Leads experimental solid-state physics research at Zernike Institute, focusing on advanced materials characterization and device applications.

John Kiefferمشاهده پروفایل

استاد

• Materials Simulation
• Energy Materials
• Molecular Dynamics
• +۶ مورد دیگر

John Kieffer is a Professor in the Department of Materials Science & Engineering at the University of Michigan College of Engineering. His research focuses on simulation-based predictive design of materials for energy applications, combining computational methods with experimental validation. M.S. in Metallurgy from Clausthal Technical University (1980) Ph.D. in Materials Science from Clausthal Technical University (1985) His research integrates first-principles quantum mechanical calculations , reactive molecular dynamics simulations , and hybrid Monte Carlo/molecular dynamics techniques to study materials for photovoltaics, batteries, and composite materials. Experimental validation includes dielectric impedance spectroscopy and inelastic light scattering , complemented by sol-gel synthesis of organic-inorganic hybrids. Current projects sponsored by NASA and the National Science Foundation explore amorphous systems , self-healing polymers , Li-ion battery electrolytes , and high-pressure materials . His work also involves multiscale simulation of nucleation and crystal growth. Morey Award Lecture (2002) Kieffer's facilities include a unique tandem Fabry-Perot interferometer for concurrent Raman and Brillouin light scattering measurements, enabling non-contact nano-scale monitoring of reacting systems.

Hasan Göçmezمشاهده پروفایل

استاد

• Ceramic Materials
• Materials Science
• Nanomaterials
• +۶ مورد دیگر

Prof. Dr. Hasan Göçmez is a Professor in the Department of Materials Science and Engineering at Dumlupinar University's Faculty of Engineering. With over two decades of academic experience, he has established himself as a leading researcher in ceramic materials and nanotechnology. His career spans multiple prestigious institutions including Rutgers University and Stevens Institute of Technology, where he served as a Research Assistant and Post-Doc respectively before joining Dumlupinar University in 2003. Dr. Göçmez earned his Bachelor's degree in Metallurgical and Materials Engineering from Middle East Technical University (1989-1994). His academic journey progressed from Research Assistant (1995-2002) to Assistant Professor (2003-2006), Associate Professor (2006-2011), and finally to Professor (2011-present) at Dumlupinar University. He has also held significant administrative roles including Institute Director (2012-2018), Deputy Institute Director (2009-2012), and Deputy Head of Department (2005-2011). Dr. Göçmez's research interests span multiple areas of materials science with a particular focus on advanced ceramics and nanomaterials. His work encompasses: Ceramic Materials: Zirconia-based ceramics, boron compounds, and perovskite structures Energy Applications: Battery technologies, supercapacitors, and solar cell materials Sustainable Materials: Waste recycling in composite production and eco-friendly manufacturing processes Nanostructured Materials: Nanopowder synthesis, nanocomposites, and surface engineering Advanced Processing Techniques: Spark plasma sintering, hydrothermal synthesis, and citrate gel methods His extensive publication record spanning over two decades demonstrates a consistent focus on materials characterization and development. Dr. Göçmez has made significant contributions to the understanding of zirconia ceramics, perovskite materials for energy applications, and sustainable composite manufacturing. His work bridges fundamental materials science with practical industrial applications, particularly in the automotive and energy sectors. Dr. Göçmez has received several notable awards including the Micro Enterprise Productivity Project Award from the Ministry of Science, Industry and Technology (2016), a JSPS fellowship (2006), and the YLS scholarship from the Higher Education Board (1995). As an active researcher, Dr. Göçmez has led numerous projects funded by various institutions, focusing on advanced materials development for energy storage, structural applications, and sustainable manufacturing. His editorial work for the Journal of the Ceramic Society of Japan demonstrates his standing in the international ceramics community.

Laurent Bellaicheمشاهده پروفایل

استاد

• Computational Condensed Matter Physics
• Ferroelectrics
• Multiferroics
• +۷ مورد دیگر

Laurent Bellaiche is a Distinguished Professor in the Department of Physics within the College of Arts and Sciences at the University of Arkansas. His research focuses on computational condensed matter physics with emphasis on ferroelectrics, multiferroics, and semiconductor materials. He leads the Computational Condensed Matter Physics (CCMP) Group and serves as a founding member of the Smart Ferroic Materials Center. His primary research interests include: Developing first-principles methods for predicting properties of ferroelectrics and multiferroics Investigating topological defects, spin liquids, and magnetic skyrmions Studying non-equilibrium effects for neuromorphic computing applications Optimizing electro-optic, electrocaloric, and piezoelectric effects Designing antiferroelectrics for high-energy-density applications Professor Bellaiche's recent publications (2024-2025) demonstrate significant activity in topological polar structures, skyrmion engineering, strain-induced phenomena, and computational design of functional materials. His work shows strong interdisciplinary connections between condensed matter theory, materials science, and device physics with particular emphasis on emergent topological phenomena in low-dimensional systems. Scientific awards include: Twenty-First Century Professorship in Nanotechnology and Science Education NSF CAREER Awardee Bellaiche maintains active collaborations with experimental groups internationally, particularly with CentraleSupélec in France. He is involved in innovative educational initiatives including a course titled "Thinking Outside the Box: Physics, Soccer and much more" and contributes to the Soccernostalgia podcast. His research group emphasizes both fundamental theoretical advances and practical applications in next-generation electronic and energy materials.

Inna Ponomarevaمشاهده پروفایل

استاد

• Computational Materials Science
• Ferroic Materials
• Phase Transitions
• +۲ مورد دیگر

Inna Ponomareva is Professor and Director of Graduate Admissions in Physics at the University of South Florida. She leads the Computational Nanoscience Lab, specializing in ferroic materials using atomistic simulations and machine learning. Research explores phase transitions, nanoscale phenomena, and caloric effects in functional materials. Current group includes 4 researchers focusing on: Halide perovskite spin physics Ultra-thin ferroelectric behavior Multicaloric effects Recent publications demonstrate advances in controlling spin textures via strain and intercalation in 2D materials. Teaches quantum mechanics and computational physics courses. Recognized with SIGMOD Distinguished Reviewer Award and ELIDEK grants.

Anirban Chakrabortiمشاهده پروفایل

استاد

• Econophysics
• Sociophysics
• Complex Systems
• +۱۴ مورد دیگر

Anirban Chakraborti is a Professor at the School of Computational and Integrative Sciences, Jawaharlal Nehru University (JNU), New Delhi, India, where he has been a faculty member since 2014. He previously held academic positions at École Centrale Paris (France) as Chercheur Senior (Associate Professor) and Chargé de Recherche (Assistant Professor), and earlier roles at Banaras Hindu University, Brookhaven National Laboratory (USA), and Helsinki University of Technology (Finland). He is a leading figure in the interdisciplinary field of econophysics and complex systems. Education: Diplôme d’Habilitation à Diriger des Recherches (2013), Université Pierre et Marie Curie – Paris VI, France (Physics) Ph.D. in Physics (2003), Saha Institute of Nuclear Physics, Jadavpur University, India Post-M.Sc. in Physics (1999), Saha Institute of Nuclear Physics, Jadavpur University, India (Ranked First) M.Sc. in Physics (1998), University of Calcutta, India (Ranked First) B.Sc. in Physics (1996), Scottish Church College, University of Calcutta, India His research interests lie at the intersection of physics, economics, and data science. He is particularly known for pioneering work in econophysics , including the statistical mechanics of money, wealth distribution, agent-based market models, and network-based analysis of financial and social systems. He also works on complex systems , computational finance , statistical physics , and nanosciences , with applications in sensing and imaging. His work often involves modeling socio-economic phenomena using tools from statistical physics. His recent publications span topics such as financial fluctuations, wealth inequality, network analysis of conflicts, order book dynamics, and nanomaterial characterization. These works reflect a strong trend toward interdisciplinary research combining physics, economics, and data analytics, with a focus on real-world applications in finance, inequality, and social systems. Scientific Awards: Indian National Science Academy Young Scientist Medal (2009) He has advised Ph.D. students such as Kiran Sharma and leads the ETC (Experimental-Theoretical-Computational) Lab at JNU, which brings together physicists, computer scientists, and mathematicians. The lab has been involved in international collaborations, including projects funded by the Estonian Ministry of Education and Research and consultancies with TCS Innovation Labs and DONO Consulting. His research has been supported through grants and collaborative projects, reflecting strong industry and global academic engagement.

Austin Sendekمشاهده پروفایل

استاد مدعو

• Materials Science
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Austin Sendek serves as an Adjunct Professor in the Department of Materials Science and Engineering at Stanford University, where he applies machine learning and AI to accelerate materials discovery for decarbonization. He is the Founder and CEO of Aionics, Inc., a company specializing in AI-driven battery design using high-performance computing. At Stanford, he collaborates on research initiatives spanning fundamental science to entrepreneurship mentoring. His academic background includes: B.S. in Applied Physics, UC Davis Ph.D. in Applied Physics, Stanford University Sendek's research focuses on computational materials science for battery technologies. He develops machine learning models to predict material properties, design solid-state electrolytes, and optimize battery performance. His work integrates quantum mechanical simulations with experimental data to overcome challenges in the small data regime, aiming to expedite next-generation energy storage solutions. His publication record demonstrates a strong commitment to advancing battery materials through interdisciplinary approaches. Recent work emphasizes machine learning applications for solid electrolyte discovery, interface engineering, and cathode material design. The research consistently addresses critical barriers in solid-state batteries, such as ionic conductivity and stability, while leveraging data-driven methods to navigate vast materials spaces. Awards: Forbes 30 Under 30 in Energy (2019) Sendek has mentored students as a Guest Lecturer at Columbia University and through Stanford affiliations. His leadership at Aionics, Inc., fosters a collaborative environment for AI and battery research, facilitating industry-academia partnerships and grant-funded projects. He directs Aionics, Inc., which operates at the intersection of AI and battery innovation. At Stanford, he engages with research teams to bridge computational discovery and practical battery applications.

Raymundo Arróyaveمشاهده پروفایل

استاد

• Computational Materials Science
• Materials Thermodynamics
• Materials Kinetics
• +۴ مورد دیگر

Raymundo Arróyave serves as Professor and Associate Department Head for Research in the Department of Materials Science & Engineering at Texas A&M University, holding the Chevron Professor II distinction and multiple university fellowships including Presidential Impact Fellow and Chancellor EDGES Fellow. He maintains affiliated faculty appointments in Industrial & Systems Engineering and Mechanical Engineering. Educational Background: Ph.D. in Materials Science from Massachusetts Institute of Technology M.S. in Materials Science and Engineering from Massachusetts Institute of Technology B.S. in Mechanical and Electrical Engineering from Instituto Tecnológico y de Estudios Superiores de Monterrey Research Focus: Dr. Arróyave's computational materials science research integrates atomic-scale simulations with thermodynamic and kinetic modeling to predict material behavior. His work spans phase field methods for microstructure evolution, materials informatics, ICME frameworks, and physics-based design of functional materials including lead-free alloys, high-temperature ceramics, shape memory systems, and nuclear materials. Key phenomena investigated include interfacial thermodynamics, phase transformation kinetics, and thin-film stability. Publication Trends: Analysis of his 2012-2014 publications reveals concentrated expertise in computational modeling of soldering metallurgy (particularly Pb-free systems) and shape memory alloys. His work bridges CALPHAD thermodynamic databases with phase field kinetics to predict intermetallic compound evolution in electronic joints and microstructural characteristics in Ni-Ti-Hf/Zr systems, demonstrating strong alignment with industrial applications in electronics and aerospace. Scientific Recognition: FMD Journal of Electronic Materials Best Paper Award (2014) TMS EMPMD Distinguished Service Award (2014) Mexico National System of Researchers Level II Membership (2013-2018) Texas A&M Engineering Experiment Station Young Faculty Fellow (2012) NSF CAREER Award (2010) TMS Young Leader Internship (2006) American Welding Society Graduate Fellowship (2002-2003) Research Leadership: As Associate Department Head for Research, Dr. Arróyave directs departmental research strategy while maintaining active NSF-funded projects including his CAREER award on computational thermodynamics. His collaborations span the Materials Science & Engineering department and affiliated engineering disciplines, with emphasis on translating computational models to industrial applications in electronics manufacturing and high-temperature materials. Research Ecosystem: His work operates within Texas A&M's computational materials infrastructure, leveraging university-wide resources for high-performance computing and materials characterization. Current projects focus on integrating machine learning with physics-based models for accelerated materials discovery, particularly in soldering reliability and shape memory alloy design.

• Condensed Matter Physics
• Theoretical Physics
• Spintronics
• +۴ مورد دیگر

Vivek Amin is an Assistant Professor in the Department of Physics at Indiana University. His research focuses on theoretical investigations of condensed matter systems, particularly spintronics and spin-orbit torque mechanisms. He explores how spin and magnetic moments of electrons can be harnessed for information processing and storage, including applications in magnetic memories and neural networks. Education: B.S. in Electrical Engineering, University of Texas at Austin, 2006 Ph.D. in Physics, Texas A&M University, 2014 Research Interests: Spintronics and low-power spintronic devices Spin-orbit torque in materials like topological insulators and ferromagnets Design of spin-based neural networks Quantum materials and their magnetic properties Recent work includes studying interface-generated spin currents and their applications in energy-efficient computing. Awards: None explicitly listed in the provided text. Advising & Grants: No advisees or grants detailed in the text. His research is supported through institutional and collaborative efforts. Labs/Teams: Not specified in the provided materials.

Michael DeWeeseمشاهده پروفایل

دانشیار

• Nonequilibrium Statistical Mechanics
• Machine Learning Theory
• Systems Neuroscience
• +۳ مورد دیگر

Michael DeWeese is an Associate Professor of Physics and Neuroscience at the University of California, Berkeley. His research spans nonequilibrium statistical mechanics, machine learning theory, and systems neuroscience. He holds a BA in Physics from UC Santa Cruz (1988) and a PhD in Physics from Princeton (1995). Before joining UC Berkeley in 2007, he held postdoctoral positions at the Salk Institute and Cold Spring Harbor Laboratory. His work integrates principles from physics, neuroscience, and machine learning to address fundamental questions in theoretical and experimental biology, computation, and statistical mechanics. DeWeese Lab Website provides further details on ongoing projects and collaborations. Education: BA in Physics, UC Santa Cruz (1988) PhD in Physics, Princeton University (1995) Research Interests: Nonequilibrium Statistical Mechanics: Focuses on thermodynamic optimization, active matter, and non-equilibrium processes. Machine Learning Theory: Develops first-principles models to explain neural network performance and efficient algorithms for probabilistic models. Systems Neuroscience: Uses biologically inspired models to understand neural coding, sensory processing, and computational roles of neural networks. Advising & Grants: While no formal student advisees are listed, his lab actively collaborates across disciplines. Funding sources are not explicitly mentioned but likely involve NSF, NIH, or DOE grants based on research themes. His work on quantum control and neural networks suggests potential ties to interdisciplinary funding initiatives. Labs & Teams: Directs the DeWeese Lab, which bridges physics, neuroscience, and machine learning. Collaborations include institutions like the Helen Wills Neuroscience Institute (UC Berkeley).

• Condensed Matter Physics
• Materials Discovery
• Ab Initio Calculations
• +۴ مورد دیگر

Fernando Manuel da Silva Nogueira is an Associate Professor at the Department of Physics, Faculty of Sciences and Technology, University of Coimbra. He holds a PhD in Theoretical Physics from the same institution (1999) and has been a faculty member since 1990. His research focuses on materials discovery using ab-initio methods , computational physics, and development of scientific software tools like Octopus and APE . He leads the Condensed Matter Physics group at CFisUC (Centro de Física da Universidade de Coimbra) and has been Director of the Portuguese Physics Olympiad (2007-2018). Education: PhD in Theoretical Physics (1999), University of Coimbra MSc in Theoretical Physics (1993), University of Coimbra BSc in Physics (1990), University of Coimbra Research interests include computational materials science , nonlinear optics , density functional theory , and electronic structure calculations . He has authored 40+ peer-reviewed articles, 3 books, and directed over 25 research projects. His work spans topics like carbon nanotube properties, firefly bioluminescence mechanisms, and high-throughput materials discovery. He has organized 25+ conferences, advised 3 PhD students and 17 MSc students, and contributed extensively to open-source computational physics software. His ORCID is 0000-0003-3125-3660 .

• Condensed Matter Physics
• Materials Science
• Computational Physics
• +۴ مورد دیگر

Mattias Klintenberg is a Professor in the Department of Physics and Astronomy at Uppsala University, Sweden, specializing in computational materials theory. His research integrates advanced simulation techniques to address fundamental questions in condensed matter systems and material properties. His core expertise spans Condensed Matter Physics and Materials Science , with specific focus on: Electronic structure calculations for semiconductors and novel materials Defect physics in interfaces and bulk systems Two-dimensional material characterization Electron-phonon coupling models X-ray spectroscopy data interpretation Computational material discovery through data mining Analysis of his 2013-2019 publications reveals a cohesive research trajectory centered on atomic-scale material behavior. Key themes include radiation damage modeling in nuclear materials, defect engineering in semiconductors (particularly CdTe), and methodological advances in molecular dynamics for electron-phonon interactions. His work consistently bridges theoretical computation with experimental validation, especially in spectroscopy and interface science. No scientific awards were documented in the provided information. Details regarding student supervision, grant funding, or laboratory infrastructure were not specified in the source materials.

• Materials Chemistry
• Battery Technology
• Lithium-ion Batteries
• +۵ مورد دیگر

Daniel Brandell is a Professor in Materials Chemistry at Uppsala University, working within the Department of Chemistry - Ångström Laboratory, specifically in the Structural Chemistry division. He serves as the responsible professor for the Structural Chemistry programme and is a key researcher within the Ångström Advanced Battery Centre. Professor Brandell's research focuses on advanced battery technologies, with particular emphasis on: Lithium-ion and solid-state battery systems Polymer and ceramic electrolytes Thermal management and safety of battery systems Computational modeling of ion transport mechanisms Next-generation battery materials for electromobility applications His recent publication record demonstrates a strong trend toward understanding fundamental mechanisms in battery operation, with significant focus on thermal runaway phenomena, ion transport in novel electrolyte systems, and the development of safer, more efficient solid-state battery technologies. Much of his work combines experimental approaches with computational modeling to gain deeper insights into battery chemistry and physics at the molecular level. His research spans from fundamental materials science to practical safety testing methodologies. Professor Brandell actively collaborates with researchers across multiple institutions and contributes to advancing battery technology for sustainable energy applications. His work has significant implications for the development of safer, higher-capacity batteries for electric vehicles and grid storage solutions, addressing critical challenges in energy storage technology. His research group appears to collaborate extensively with other researchers at Uppsala University and internationally, as evidenced by the co-authorship patterns in his publications.

• Nuclear Materials
• Radiation Damage Physics
• Computational Materials Science
• +۴ مورد دیگر

Pär Olsson is a Professor in the Department of Nuclear Science & Engineering at KTH Royal Institute of Technology. His research focuses on computational and experimental studies of radiation damage in nuclear materials, with particular emphasis on understanding defect dynamics, microstructural evolution under irradiation, and the behavior of advanced nuclear fuels. He leads courses such as Multiscale Modeling of Nuclear Materials and Radiation Damage Physics, emphasizing both theoretical and practical aspects of materials science in nuclear contexts. His research interests include the development of advanced accident-tolerant fuels (e.g., UN-UO2 composites), the computational modeling of radiation effects in metals like Fe and W, and the interplay between solute atoms and defects in irradiated materials. His work combines first-principles calculations, kinetic Monte Carlo simulations, and experimental validation to address challenges in nuclear energy systems. Notable contributions include studies on fission product solubility in nuclear fuels, oxygen’s role in tungsten defect evolution, and the thermal performance of UN-based composites. His team’s projects, such as the M4F initiative (Multiscale Modelling for Fusion and Fission Materials), aim to bridge atomistic and continuum-scale models for material design. Pär Olsson collaborates extensively with international institutions and contributes to nuclear materials education through course coordination and supervision of graduate studies in physics and materials science.