جست‌وجوی استاد و پژوهشگر

Alex Woodمشاهده پروفایل

مدرس

• Organic semiconductors
• Thermoelectric materials
• Charge transport in conjugated polymers
• +۳ مورد دیگر

Dr Alex Wood is a faculty member in the Department of Sociology at the University of Cambridge, situated within the School of the Humanities and Social Sciences. His current academic rank is Lecturer and he holds an active role in the department’s teaching and research community. Research interests inferred from his recent publications centre on experimental condensed-matter physics and organic electronic materials, with emphasis on charge-transport phenomena in conjugated polymers, perovskite semiconductors, carbon-nanotube networks and thermoelectric energy conversion. Methodologically, his work employs conductive atomic-force microscopy, Hall-effect measurements and electrochemical gating to unravel nanoscale transport mechanisms. Across 2020-2025 he has co-authored twelve peer-reviewed articles that collectively map the evolution of organic semiconductor doping strategies, the role of structural and dynamic disorder on carrier mobility, and design rules for enhancing thermoelectric figures of merit in polymer-based composites. These studies provide quantitative insights into how tie-chain engineering, counter-ion selection and processing conditions modulate electrical and thermal conductivity. At present no students, funded grants, scientific prizes or laboratory webpages are disclosed in the provided material, and no contact e-mail address is listed.

• Urban Analytics
• Smart Charging Systems
• Electric Vehicle Infrastructure
• +۵ مورد دیگر

Dr. Pieter Bons serves as a Senior Lecturer at the Faculty of Technology, Hogeschool van Amsterdam, where he teaches Applied Mathematics and Data Science. His academic work spans urban analytics, smart charging systems, and geospatial modeling, with significant contributions to electric vehicle infrastructure and climate adaptation research. His research focuses on applying data science to urban challenges, particularly in smart charging for electric vehicles and neighborhood typology classification . Bons specializes in extracting actionable insights from complex urban datasets while addressing critical issues like data bias, quality, and privacy. His work bridges theoretical data science with practical urban applications, notably through projects like the Rijkswaterstaat charging infrastructure study and nationwide neighborhood typology mapping. Recent publications reveal a clear trajectory from fundamental physics (2010-2017) to applied urban analytics (2020-present), with current work emphasizing energy grid optimization through smart charging AI-driven climate adaptation tools geospatial analysis for urban planning His fingerprint analysis highlights strong connections to Smart Charging (95%), Public Charging Stations (36%), and Electric Vehicles (54%). Award highlights: HvA onderzoeksprijs 2021 for collaborative urban research Nominatie KennisDC Parel 2023 for innovation in zero-emission infrastructure Bons actively enhances data literacy across the faculty through educational initiatives like Data Studio, integrating students into real-world research cases. His activities include stakeholder presentations for Rijkswaterstaat, knowledge clips on neighborhood typologies, and academic talks on walkability and zero-emission corridors. He contributes to datasets like the Wijktypologie Buurtniveau 2023, supporting national climate adaptation efforts. His work occurs at the intersection of urban planning, energy systems, and AI, with current projects focusing on balancing urban energy grids through flexible EV charging and developing nationwide neighborhood classification systems for climate resilience.

Maroun Fouadمشاهده پروفایل

عضو هیئت علمی

• Electrochemistry
• Nanomaterials
• Thin Films
• +۹ مورد دیگر

Maroun Fouad is a CNRS Research Director and Head of the Electrochemistry and Thin Films group at the Laboratory of Condensed Matter Physics, École Polytechnique, France. He leads research on nanoscale electrochemical processes in thin oxide films and their atomic-scale properties. His work integrates electrochemistry, materials science, and surface physics. His research focuses on understanding the fundamental aspects of electrochemical deposition and dissolution of ultra-thin oxide films. Using advanced techniques such as scanning probe microscopy, X-ray diffraction and absorption, and in-situ magnetic measurements, he correlates electrochemical behavior with atomic-scale structure. His work has significant implications for energy materials, electrocatalysis, and functional nanomaterials. The recent publications reveal a strong trend in operando characterization of electrocatalytic materials, particularly cobalt oxides for oxygen evolution, and the role of atomic-scale environments in bimetallic systems and de-alloying processes. His work bridges electrochemistry with solid-state physics and materials engineering. Leadership and Institutional Roles: Head of Electrochemistry and Thin Films group (since 2017) Responsible for scanning probe and electron microscopes (since 2007) Elected representative on École Polytechnique Administration Council (since 2011) Member of scientific committees (e.g., Journées Surfaces Interfaces) Teaching and Outreach: Previously taught Master’s courses in Nanosciences at University Paris-Sud (2010–2017) Exercise teacher in Quantum Mechanics and Statistical Physics at École des Mines de Paris (2008–2015) Active participant in Science Festivals at École Polytechnique, educating the public on energy, crystallography, and NMR He has been involved in organizing seminars and laboratory outreach, contributing to both academic training and public engagement in science.

Thomas Barthelمشاهده پروفایل

استادیار مدعو

• Quantum Condensed Matter Physics
• Strongly Correlated Quantum Systems
• Nonequilibrium Quantum Dynamics
• +۱۲ مورد دیگر

Thomas Barthel is an Adjunct Assistant Professor of Physics at Duke University and a Manager of Research Development at the National Quantum Laboratory, University of Maryland . He is affiliated with the Duke Quantum Center and the Pratt School of Engineering . PhD from Rheinisch-Westfälische Technische Hochschule Aachen (Germany) (2009) Research Interests: Dr. Barthel specializes in quantum condensed matter physics and tensor network states for simulating strongly correlated quantum systems . His work spans nonequilibrium dynamics , entanglement scaling , driven-dissipative systems , and stochastic network dynamics with applications to epidemic modeling and quantum computation . He develops entanglement renormalization algorithms like Trotterized MERA to achieve quantum advantage for critical systems. Publications: Recent work focuses on proving the absence of barren plateaus in tensor network optimization, scaling of contraction costs for MERA, and non-Gaussian phase transitions in dissipative quantum models. His tensor network methods enable simulations of quantum criticality and entanglement evolution in large systems. Scientific Awards: Borchers Medal (2010) Schöneborn Prize (2005) Springorum Medal (2005) Doctoral and Student Scholarships from Studienstiftung des deutschen Volkes Advising & Grants: Dr. Barthel advises students in quantum simulation and network dynamics . He has secured NSF and NIH grants for epidemic risk analysis and quantum material studies , alongside IonQ quantum computing credits and Department of Energy funding.

• Polymer nanocomposites
• Materials engineering
• Biomaterials
• +۳ مورد دیگر

Dr. Grant Edwards is a Teaching Professor at the School of Civil Engineering within the Faculty of Engineering, Architecture and Information Technology at the University of Queensland. He is an affiliate of the Centre for Advanced Materials Processing and Manufacturing (AMPAM) and has contributed to research in polymer nanocomposites, biomaterials, and industrial material processing. Bachelor of Business (Administration), University of Queensland Bachelor of Engineering, University of Queensland Bachelor of Small Business Management, University of Queensland Doctor of Philosophy, University of Queensland His research focuses on materials engineering , particularly in polymer nanocomposites , biodegradable materials , and mechanical property optimization . Projects include graphene-enhanced coatings, nanocellulose-reinforced polymers, and synthetic clay processing for industrial applications. Funding has been received from the CRC for Polymers , Innovation Connections , and UniQuest Pty Ltd . Dr. Edwards has served as an associate advisor for PhD projects related to crosslinked polyester coatings and biomedical nanocomposites, collaborating with professors such as Darren Martin and Lisbeth Grøndahl. He is affiliated with the Australian Research Council Training Centre for Bioplastics and Biocomposites and has published extensively in journals like Materials Chemistry and Physics and Acta Biomaterialia .

• Frequency Metrology
• Primary Frequency Standards
• Cold Atom Physics
• +۲ مورد دیگر

Giovanni Antonio Costanzo is an Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino. With expertise in Frequency Metrology and Primary Frequency Standards , his research focuses on atomic frequency standards using cold atoms and optical fiber link dissemination . Costanzo leads research projects such as YTRO - Ytterbium Trap Reference Oscillator (2007-2010, Scientific Director) and Control Electronics for Optical Links (2011-2013). His teaching portfolio includes Measurement Systems and Sensors (Electronic Engineering, 2019-2025) and Instrumentation and Control in Transportation Systems (Mechanical Engineering, 2024-2025). His recent publications (2020-2023) span topics including optical lattice clocks , coherent fiber links , and laser noise characterization , reflecting interdisciplinary work in quantum optics , telecommunications , and electronic design . He also contributes to UTC time scale generation algorithms and multi-disciplinary educational projects combining photonics and electronics.

Gareth Conduitمشاهده پروفایل

استاد

• Strongly correlated electron systems
• Machine learning for materials discovery
• Machine learning for drug discovery
• +۵ مورد دیگر

Gareth Conduit is a Professor-level Research Fellow in the Theory of Condensed Matter Group at the Cavendish Laboratory, University of Cambridge, and a Fellow of Gonville and Caius College. He leads a multidisciplinary programme that couples condensed-matter theory with modern machine-learning methodology to accelerate the discovery of functional materials and pharmaceuticals. Education & Affiliations: Fellow of Gonville and Caius College, Cambridge Research Fellow, Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge Research Interests: Conduit’s work spans two major themes. The first is strongly correlated quantum matter , where he employs quantum Monte-Carlo techniques to explore itinerant ferromagnetism, superconductivity and few-fermion systems, often in collaboration with ultracold-atom experiments. The second is AI-driven materials & drug discovery , where his group develops the Alchemite™ probabilistic deep-learning platform to impute sparse, noisy experimental data and design new alloys, superalloys, concrete formulations and therapeutic candidates. Projects have led to the experimental validation of five proprietary alloy families and are now commercialised through the spin-out Intellegens . Publication Trends: His 2022-2025 output demonstrates a strategic shift toward large-scale, multi-task deep learning deployed on industrial data sets—ranging from 3-D woven composites and superalloy microchemistry to concrete strength and nicotine pharmacokinetics—while maintaining foundational contributions to quantum many-body theory and metamaterial design roadmaps. Scientific Awards: No awards are listed in the supplied material. Funding & Commercial Impact: Conduit has secured substantial industrial funding ( Rolls-Royce, Johnson Matthey, AstraZeneca, Unilever, etc.) to translate AI predictions into certified materials and drug candidates. The Alchemite engine is now embedded in industrial R&D workflows for aerospace alloys, battery electrodes and pharmaceutical formulations. Teams & Facilities: He leads an active research group within the TCM theory division, maintains close ties with the Cavendish’s ultracold-atom experimental programme, and collaborates globally through the OPTIMADE consortium for materials data interoperability.

Martin Heinrichمشاهده پروفایل

پژوهشگر

• Mechanical Engineering
• Fluid Dynamics
• Multiphase Flow Simulation
• +۳ مورد دیگر

Dr.-Ing. Martin Heinrich is a researcher at the Institute of Mechanics and Fluid Dynamics within the Faculty of Mechanical, Process and Energy Engineering at Technical University Bergakademie Freiberg . His work focuses on numerical flow simulation and computational fluid dynamics. Education: Diploma in Mechanical Engineering (2011), TU Bergakademie Freiberg (grade: 1.3) Doctorate in Mechanical Engineering (2016), TU Bergakademie Freiberg (summa cum laude) Martin Heinrich's research spans numerical simulation of multiphase flows , atomization of molten metals and water jets , and surface structuring using laser beams . He has conducted research stays at the University of Toronto (2019, 2017) and Amirkabir University of Technology (2018). His 15 most recent publications (2013–2025) include work on air sampling in closed environments , fluid-structure interaction , CFD software development , and laser-induced surface structuring , with a focus on computational methods like OpenFOAM and ANSYS CFX. Key awards: Summa cum laude doctorate in Mechanical Engineering (2016) He has collaborated with researchers such as Prof. Rüdiger Schwarze , Prof. Kinnor Chattopadhyay , and Dr. Hossein Khaleghi . His work includes grants for multi-scale modeling and fluid dynamics software tools .

Filippo Occhioniمشاهده پروفایل

مربی

• Theoretical Mechanics
• Applied Mechanics
• Nanotechnology
• +۴ مورد دیگر

Filippo Occhioni is a Tutor at Temple University Rome , supporting students in the Aerospace Engineering and Electrical Energy Engineering programs. Concurrently, he is a Ph.D. candidate in Theoretical and Applied Mechanics at Sapienza University of Rome , conducting research at the intersection of fluctuating hydrodynamics , rare event techniques , and diffuse interface modeling . His work focuses on understanding atomic-scale phenomena that drive bubble and droplet formation, bridging nanoscale processes with macroscopic fluid dynamics. Education: M.Sc. in Nanotechnology Engineering, Sapienza University of Rome B.Sc. in Chemical Engineering, Sapienza University of Rome His research integrates fluctuating hydrodynamics and rare event techniques to model bubble and droplet formation from atomic-scale motions. At Temple, he teaches Mathematical Analysis I for Aerospace and Electrical Energy Engineering courses.

• Nanoparticle Synthesis
• Metal Nanoclusters
• Materials Chemistry
• +۴ مورد دیگر

Terry P Bigioni is a Professor in the Department of Chemistry & Biochemistry at the University of Toledo , affiliated with the College of Natural Sciences and Mathematics . With over two decades of research activity, his work bridges materials chemistry, nanoparticle synthesis, and interfacial assembly mechanisms. Core Research: Silver/gold nanoclusters, green synthesis methods, and optical property characterization Key Techniques: EXAFS analysis, computational modeling, and self-assembly studies Selected Research Themes His publications reveal trends in: Monolayer-protected metal clusters Atomic-scale nanoparticle interactions Photophysical properties of ultrasmall nanoparticles Biomedical applications of nanomaterials Environmental sustainability in nanoparticle production Crystallographic structure determination Scientific Impact includes high-impact work in Nature , Science Advances , and ACS Nano . Collaborations span multiple institutions, with networks involving researchers in physics, materials science, and chemical engineering.

Jinwoo Hwangمشاهده پروفایل

دانشیار

• Electron Microscopy
• Semiconductor Physics
• Materials Characterization
• +۴ مورد دیگر

Jinwoo Hwang is an Associate Professor in the Department of Materials Science and Engineering at The Ohio State University. He joined OSU as an Assistant Professor in 2014 and was promoted to Associate Professor in 2020. Prior to this, he was a Postdoctoral Research Fellow at the University of California Santa Barbara (2011-2014). His educational background includes a Ph.D. in Materials Science from the University of Wisconsin-Madison (2011), an M.S. from the University of Pennsylvania (2005), and a B.S. from Hongik University in Seoul, Korea (2002). Professor Hwang's research focuses on developing advanced atomic-scale characterization techniques using scanning transmission electron microscopy (STEM) to investigate structure-property relationships in materials. His group specializes in fluctuation microscopy, electron nanodiffraction, and 4D-STEM combined with computational simulations. Major research areas include: Defect engineering in wide bandgap semiconductors Magnetic interface phenomena and property control Structural analysis of amorphous/glassy materials Nanoscale thermal transport mechanisms Phase transformations in functional oxides His recent publications (2023-2025) demonstrate strong focus on oxide semiconductors (Ga 2 O 3 , LiGa 5 O 8 ), battery materials degradation, metallic glasses characterization, and thin-film interface engineering. The work consistently applies advanced STEM techniques with growing integration of machine learning for materials analysis. Professor Hwang leads the STEM Research Group at Ohio State, though no specific students, awards, or grants are detailed in the source materials. His laboratory develops novel microscopy methods to advance understanding of materials behavior at atomic scales.

Martin Dahlqvistمشاهده پروفایل

دانشیار

• Materials Science
• Computational Materials Science
• Magnetic Materials
• +۶ مورد دیگر

Martin Dahlqvist is an Associate Professor at the Division for Materials Design , Linköping University (LiU) . His research focuses on computational materials science, particularly using theoretical methods to predict and develop novel materials with synthesis potential, while investigating stability mechanisms in layered and magnetic systems. Current research includes chemical ordering/disorder in MAX phases, high-performance computing for material discovery, and magnetism in nanolaminated structures. He oversees national supercomputing resources for large-scale projects at the Materials Design Division and Thin Film Physics Division (IFM). Academic Background: MSc in Physical Chemistry, Lund University PhD in Material Science (thin film physics), LiU Postdoctoral work at National University of Science and Technology (MISiS), Moscow and Materials Theory, ETH Zürich . Research Trends (2025): Recent publications emphasize MAX phases , 2D materials , and magnetic nanolaminates . Key areas include chemical ordering, high-pressure synthesis, and computational screening of transition metal compounds. Collaborations: Active partnerships with researchers like Johanna Rosén and Adam Carlsson in projects involving goldene synthesis and ternary boride design.

Christoph Ortnerمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Applied Analysis
• +۱۲ مورد دیگر

Christoph Ortner is a Professor in the Department of Mathematics at the Faculty of Science, University of British Columbia. His research bridges rigorous mathematical analysis, numerical methods, and practical applications in molecular simulation and materials science. His primary research interests include: Numerical Analysis & Scientific Computing Applied Analysis Multi-scale Modelling and Coarse-graining Molecular Simulation Scientific Machine Learning, particularly for applications in multi-scale modelling Professor Ortner's work focuses on several interconnected areas including Hybrid Mechanistic & Data-driven Modelling of atomistic systems, Material Defects analysis, QM/MM Multiscale Methods, and Atomistic/Continuum Coupling techniques. His research group develops both theoretical foundations and practical algorithms for molecular simulation, with emphasis on mathematical rigor combined with computational efficiency. Recent work increasingly integrates machine learning techniques with traditional numerical methods, particularly through the Atomic Cluster Expansion framework. His publications demonstrate consistent contributions to the field of computational mathematics and materials science, with recent focus on machine learning applications in molecular simulation and the development of mathematically sound interatomic potentials. Professor Ortner is affiliated with the Institute of Applied Mathematics at UBC and is available for collaborations, including interdisciplinary research projects and supervision of graduate students in Mathematics programs.

Sanghoon Songمشاهده پروفایل

پژوهشگر

• Ultrafast X-ray Scattering
• Condensed Matter Physics
• Materials Science
• +۳ مورد دیگر

Sanghoon Song is a Staff Scientist at the SLAC National Accelerator Laboratory , affiliated with Stanford University . He specializes in ultrafast x-ray scattering and coherent x-ray diagnostics , with a focus on nonequilibrium material dynamics and time-resolved structural analysis . Key Techniques : X-ray Photon Correlation Spectroscopy (XPCS), Split-Delay Systems, Femtosecond X-ray Emission Spectroscopy Research Themes : Structural relaxation in supercritical fluids, Charge Density Wave dynamics, Nanoscale phase transitions His work has developed novel instrumentation for X-ray free-electron lasers, including high-pressure cells and split-delay optics. Recent studies demonstrate sub-picosecond decorrelation in glass-forming liquids and stochastic domain wall dynamics in ferroelectric superlattices. He explores electron-phonon coupling through Fe K-edge spectroscopy and contributes to macromolecular femtosecond crystallography at LCLS. Collaborations include Stanford synchrotron radiation facilities and Korean Physical Society initiatives for women in physics. Scientific Awards : ORCID: 0000-0003-3493-1850

Barbara Catinellaمشاهده پروفایل

استاد

• Galaxy evolution
• Interstellar medium and star formation
• Atomic and molecular gas surveys
• +۳ مورد دیگر

Professor Barbara Catinella is an observational astronomer at the International Centre for Radio Astronomy Research (ICRAR), The University of Western Australia. She leads the Local Universe research group and serves as Chief Investigator for ASTRO 3D. Her international roles include co-chairing the SKA HI Galaxy Science Working Group and membership on the IAU Division J steering committee. PhD in Astronomy (2005), Cornell University M.S. in Astronomy (2002), Cornell University Her research focuses on cold gas dynamics in galaxies, particularly atomic/molecular gas surveys and their connections to star formation processes. Key projects include the WALLABY and MAUVE galaxy surveys using ASKAP and ESO's VLT. Recent publications analyze: HI emission mapping in edge-on galaxies Gas scaling relations in stellar discs Machine learning applications for HI detection Scientific recognition: Recipient of The Anne Green Prize (2018) Active in Australian Research Council funded projects, including Discovery Projects and Future Fellowships. Collaborates with institutions in Korea, Germany, and USA. Currently involves datasets from: ASKAP Pilot Survey for WALLABY IllustrisTNG galaxy simulations