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Shizhong YangView profile

Professor

• High Performance Computing
• Material Science
• Computational Physics
• +5 more

Dr. Shizhong Yang is a Professor in the Department of Computer Science at Southern University and A&M College, leading the High Performance Computing Lab. His research focuses on computational materials science, high-entropy alloys, superconductivity, and alloy design. He holds a Ph.D. in Electrical Computer Engineering and Physics from the University of Missouri-Kansas City (2006), an M.S. from the same institution (2005), and a B.S. in Semiconductor Physics from Sichuan University (1988). Education: Ph.D., Electrical Computer Engineering and Physics, University of Missouri-Kansas City, 2006 M.S., Electrical Computer Engineering, University of Missouri-Kansas City, 2005 B.S., Semiconductor Physics (Honors), Sichuan University, P.R. China, 1988 Research Interests: High-entropy alloy design and validation (W, Re, Os, Ta) High-performance computing algorithms and software Optical network studies (CRON/GENI projects) Ab initio molecular dynamics methods Superconductivity mechanisms and material synthesis Fatigue and creep simulation using physical critical distance models His publications span over 30 peer-reviewed articles, emphasizing computational materials science, high-entropy alloys, and superconductivity. Notable work includes machine learning-based predictions of alloy properties and experimental validation of refractory materials. Dr. Yang collaborates with Louisiana State University and has extensive industry experience in semiconductor engineering and material testing. Labs/Teams: High Performance Computing Lab (Southern University), affiliated with the LONI Institute.

Lasse LaursonView profile

Professor

• Domain Walls
• Dislocation Dynamics
• Barkhausen Noise
• +3 more

Lasse Laurson is a Professor in the field of Physics, specializing in interdisciplinary research at the intersection of condensed matter physics, materials science, and computational modeling. His work focuses on understanding complex phenomena such as domain wall dynamics in ferromagnetic materials, dislocation interactions in crystalline solids, and the application of machine learning to predict material behavior. He actively collaborates on projects involving advanced microscopy techniques like Lorentz microscopy and micromagnetic simulations to study magnetic noise phenomena and their underlying mechanisms. Research Interests: Laurson's core interests include domain wall interactions with dislocations, depinning transitions in elastic interfaces, Barkhausen noise analysis, and developing predictive models for plastic deformation using machine learning. His recent work explores Bayesian optimization in alloy design and the critical behavior of avalanche distributions in disordered systems. Key Research Trends: His publications from 2023-2025 reveal a strong focus on combining experimental and computational methods to study magnetic materials and crystal plasticity. He has made significant contributions to understanding how disorder influences domain wall motion and how machine learning can improve predictive capabilities in materials science. Recent efforts emphasize optimizing material properties via advanced simulation techniques and analyzing deformation mechanisms at nanoscale. Collaborations: Laurson collaborates internationally, with notable work involving researchers from Serbia (Spasojević, Marinković) and Finland (Kaappa, Vippola). His research group has developed novel methodologies for studying magnetic noise in thin films and dislocation dynamics in polycrystalline systems. Labs/Teams: While not explicitly named, his research activities suggest involvement in advanced microscopy facilities and computational materials science teams focusing on magnetic and structural analysis.

Georgiy AkopovView profile

Assistant Professor

• Inorganic Chemistry
• Materials Science
• Solid-State Chemistry
• +6 more

Georgiy Akopov is an Assistant Professor of Chemistry at Rutgers University . His research focuses on solid-state chemistry , particularly the synthesis and application of intermetallic compounds for catalysis, magnetism, thermoelectrics, and non-linear optical materials. He leads the Akopov Lab, exploring novel synthesis methods for complex materials and their applications in photocatalysis, electrocatalysis (e.g., hydrogen evolution reactions), and superhard materials. Education: B.A. in Chemistry, Rutgers University, Newark (2014) Ph.D. in Chemistry, University of California, Los Angeles (2018) Postdoctoral Fellowships: Iowa State University (2018–2019) and Ames National Lab (2019–2022) Research Highlights: Developing non-centrosymmetric chalcogenides with tunable magnetic/optical properties. Investigating halide perovskites for photocatalytic applications. Engineering superhard tungsten borides via solid-state reactions. Awards & Honors: Spedding Postdoctoral Fellowship (2019) ACS Division of Inorganic Chemistry Young Investigator Award (2018) Inorganic Chemistry Dissertation Award (UCLA, 2018) Labs & Teams: The Akopov Lab at Rutgers University specializes in crystal chemistry engineering , with a focus on fluorescence, catalysis, and hardness . Openings exist for graduate and undergraduate students.

Alberto StrioloView profile

Professor

• Chemical Engineering
• Environmental Science
• Nanotechnology
• +7 more

Alberto Striolo is the Asahi Glass Chair and Lloyd and Jane Austin Presidential Professor in the School of Chemical, Biological and Materials Engineering at the University of Oklahoma. He also holds an honorary part-time position as Research Professor at University College London (UCL). His research focuses on molecular simulations and multi-scale modeling to address challenges in energy, environmental science, and materials engineering. Education: PhD (2002) and B.S. (1998) in Chemical Engineering from the University of Padova, Italy. Postdoctoral training at UC Berkeley, North Carolina State University, and Vanderbilt University. Research Interests: In-silico design of chemical additives, environmental impact mitigation for energy sectors, microplastics/antibiotics contamination management, and pedagogical innovations. His work combines advanced simulations (e.g., molecular dynamics, machine learning) with experimental collaborations, aiming to bridge theory and industrial applications. Key Contributions: Over 200 peer-reviewed publications, including work on gas hydrate management, nanoparticle behavior, and shale gas dynamics. Notable projects include collaborations with BP, Chevron, and the Lawrence Berkeley National Laboratory. Awards: HP Outstanding Junior Faculty Award (2011), Fellowships from IoM3, RSC, IChemE, and IoP. Named Honorary Research Professor at UCL (2021). Advising & Grants: Mentored over 20 PhD students and postdocs. Secured funding from NSF, EPSRC, and industry partnerships. Active in diversity initiatives, including workshops on inclusivity in STEM. Labs & Teams: Leads a multidisciplinary research group utilizing cutting-edge computational tools. Collaborates internationally on projects like carbon capture and geothermal energy solutions.

Jan SchroersView profile

Professor

• Materials Science
• Metallurgy
• Bulk Metallic Glasses
• +7 more

Jan Schroers is the Robert Higgin Professor of Materials Science & Mechanical Engineering at Yale University. His research focuses on the chemistry-structure-processing-property relationships in advanced materials, particularly metallic glasses, high entropy alloys, and nanocrystalline metals. He leads the Schroers Lab , pioneering methods in nanofabrication, additive manufacturing, and combinatorial material science. Education: Ph.D., University of Aachen, Germany Research interests include glass formation mechanisms, metastability, and nanoscale deformation dynamics. His work addresses applications in biomedical devices, energy systems, and aerospace components. Key techniques developed in his lab include thermomechanical nanomolding and novel processing methods for bulk metallic glasses. Publications span Physical Review Letters , Acta Materialia , and Advanced Materials , emphasizing structural characterization and functional material design. His lab’s innovations include metallic glass-based pressure vessels and nano-patterned electrocatalysts for hydrogen evolution. Collaborations involve data science frameworks like aflow++ for autonomous materials discovery. Current projects explore topology-optimized cellular materials and high-temperature metallic glass alloys.

Miguel JorgeView profile

Senior Lecturer

• Molecular Simulation
• Thermodynamics
• Statistical Mechanics
• +4 more

Miguel Jorge is a Senior Lecturer in Chemical and Process Engineering at the University of Strathclyde since 2020. He holds a PhD in Chemical Engineering from the University of Edinburgh (2003) and a Master's from the University of Porto (1998). His research focuses on molecular simulation techniques (e.g., Monte Carlo and Molecular Dynamics) to study adsorption, material synthesis, thermodynamics, and interfacial processes. He has published over 80 articles and serves as Regional Editor for Europe of Molecular Simulation . His professional roles include leadership in research policy organizations such as ANICT and ICoRSA. Teaching responsibilities include Thermodynamics, Molecular Simulation in Chemical Engineering, and Project supervision at Strathclyde. He has received multiple teaching awards, including the 2015 Best Teacher in Engineering award. His current projects involve computational design of nanoporous materials for carbon capture and drug solubility prediction using machine learning. Education: PhD in Chemical Engineering, University of Edinburgh, 2003 MEng in Chemical Engineering, University of Porto, 1998 Research Themes: Computational design of nanoporous materials Adsorption modeling in zeolites and MOFs Interfacial phenomena in ionic liquids Drug solubility prediction via molecular simulation Recent research highlights include developing multiscale models for silica synthesis and advancing adsorption prediction methodologies for industrial applications. Grants & Projects: EPSRC-funded projects on nanoporous materials design (2014-2015) Screening Metal-Organic Frameworks for Natural Gas Upgrading (2014-2018) Current projects on carbon capture and drug solubility (2023-2027)

Alastair FlorenceView profile

Professor

• Pharmaceutical Manufacturing
• Crystallization
• Materials Science
• +3 more

Alastair Florence is a Professor at the University of Strathclyde, leading the EPSRC Centre for Innovative Manufacturing in Continuous Manufacturing and Crystallisation (CMAC). He oversees the CMAC National Facility within the Technology and Innovation Centre (TIC), offering advanced processing and analytical capabilities to academic and industrial users. His expertise includes crystallization, pharmaceutical solids characterization, and continuous manufacturing. He holds leadership roles such as Chairman of the British Association of Crystal Growth and advisory positions at Imperial College and Leeds University. Research focuses on crystallization processes, pharmaceutical particle formation, and the application of advanced technologies like X-ray diffraction for phase analysis. He has supervised a multidisciplinary team and published over 120 peer-reviewed papers. His work contributes to UN Sustainable Development Goals through innovations in sustainable medicines manufacturing. Education: Not explicitly stated in text Grants/Projects: Leads EPSRC MediForge Hub, SHARPEN, and other initiatives totaling 80+ projects Labs/Teams: Heads CMAC and collaborates internationally Key awards include the Best Poster Award (2018) and Royal Pharmaceutical Society Fellowship (2024). His research spans 213 publications, 29 datasets, and equipment including advanced crystallizers and analytical tools.

• Superconductivity
• Quantum Chaos
• Metamaterials
• +4 more

Steven Anlage is a Professor in the Department of Physics at the University of Maryland, College Park, and a member of the Quantum Materials Center (QMC). His research focuses on experimental studies of superconductivity, quantum chaos, metamaterials, and high-resolution microwave microscopy. He leads the Anlage Research Group, which explores topics like superconducting metamaterials, nonlinear dynamics in GHz circuits, and the electrodynamics of nanostructured materials like carbon nanotubes and graphene. His work includes developing applications for time-reversed wave propagation and wireless power transfer. Anlage holds the UMD Distinguished Scholar-Teacher award and has advised PhD students including Chung-Yang Wang and Jingnan Cai. His affiliations include the MRSEC (Materials Research Science and Engineering Center), MURI projects, and initiatives like Chaos@UMD and the Institute for Research in Electronics and Applied Physics (IREAP). Recent research highlights include the experimental realization of photonic topological insulator graphs, studies of UTe2 superconductivity, and investigations into exceptional points in non-Hermitian systems. He collaborates with institutions such as UCLA and CNAM/UMD on nanophysics projects. Anlage's experimental facilities support advanced microscopy and scattering studies, with grants funding work on complex wave systems and metamaterials. His lab's innovations include a world-record superconducting single-photon camera and contributions to understanding electromagnetic field imaging in chaotic systems.

Simon LuxView profile

Professor

• Electrochemistry
• Materials Science
• Sustainable Energy
• +3 more

Simon Lux is a Professor at the Department of Chemistry and Pharmacy at the University of Münster. His work focuses on advanced battery technologies, including lithium-ion and sodium-ion systems, with an emphasis on material sustainability, geostrategic resource management, and circular economy principles. He leads major projects like SuSyPhos (sustainable phosphorus recycling) and the MWIKE NRW initiative promoting green battery innovation. Research Interests: Electrochemistry of energy storage materials, solid-state electrolytes, battery supply chain analysis, and geopolitical implications of battery tech. Key projects include EU-funded MWIKE NRW (EFRE-20800147) and federally funded Na.Ion.NRW (03XP0627G). Recent publications explore battery geostrategy, intellectual property trends, and recycling strategies. Notable awards include the 2011 Electrochemical Society Student Poster Session Award. Key Collaborations: Helmholtz Institute Münster (MEET), Fraunhofer FFB Grants: €7.2M total from EU and German Federal Ministry Lab Focus: Sustainable Energy Transition Technologies

Martin DiehlView profile

Lecturer

• Computational Materials Science
• Crystal Plasticity
• Multi-physics Modeling
• +3 more

Martin Diehl is a lecturer at the Faculty of Engineering Sciences of KU Leuven , Belgium. He is affiliated with the Department of Materials Engineering and the Department of Computer Science . His research focuses on computational materials science, particularly crystal plasticity simulations and multiscale modeling of metallic microstructures.

• Artificial Intelligence
• Embedded Systems
• Signal Processing
• +4 more

Hans Hallez is an Associate Professor at the KU Leuven , affiliated with the Faculty of Engineering Technology and the Department of Computer Science . He leads research in Wireless Programmable Sensor Networks and Sensor-Based Algorithm Development and Signal Processing . His work spans interdisciplinary domains including Artificial Intelligence , Embedded Systems , Edge Computing , and Biomedical Applications . Member of the KU Leuven Student Services Council Senior academic staff in Faculty of Engineering Technology Council Promotor/Co-promotor for 10+ R&D projects (2024-2029) His recent research focuses on fault-tolerant control systems , medical edge computing , and smart drug delivery materials . Collaborative projects integrate AI in embedded systems and distributed sensor networks for healthcare and industrial applications. He teaches modules in Data Engineering , Digital Signal Processing , and Distributed Embedded Software Engineering , with industry-focused courses like Upgradable Machine Design and Industrial Internet of Things .

Cezary CzaplewskiView profile

Professor

• Coarse-grained molecular modeling
• Protein structure prediction
• Molecular dynamics simulations
• +3 more

Professor Cezary Czaplewski of the University of Gdańsk is a leading researcher in computational chemistry and coarse-grained molecular modeling. Affiliated with the Faculty of Chemistry and the Department of Theoretical Chemistry , he heads the UNRES server for protein simulations and contributes to projects like Multi-GPU UNRES and MAGENTA . His work bridges physics-based simulations with experimental data integration. Key roles : Professor, Computational Biophysics, University of Gdańsk Projects : EuroHPC PL, Harmonia9, Enerliq, Parylens Research Focus : His research spans coarse-grained modeling , protein structure prediction , and hydrophobic interaction studies , with applications in virology (SARS-CoV-2), antimicrobial peptide design, and large-scale biomolecular simulations. He specializes in GPU-accelerated algorithms and multi-GPU implementations for scalable systems. Teaching : Currently teaches Molecular mechanics & dynamics , Introduction to Python programming , and Parallel programming (Bioinformatics III) . Past courses include Electronic chemical diagnostics and Software in biomacromolecular calculations for PhD students. Scientific Contributions : Developed the UNRES server for polypeptide simulations, extended the UNRES force field to nucleic acids and membrane proteins, and participated in multiple CASP/CAPRI experiments for protein structure prediction. His 2025 publications focus on time-averaged restraints and multi-GPU scalability. Contact : cezary.czaplewski@ug.edu.pl Location : Room B328, Faculty of Chemistry, University of Gdańsk

• Acoustic Metamaterials
• Noise Control Engineering
• Sonic Crystals
• +3 more

David Ramirez Solana serves as a Post Doc Research Fellow Level I at University College Dublin's School of Civil Engineering, specializing in advanced acoustic research with a focus on metamaterial applications for noise control. His position bridges civil engineering and cutting-edge acoustic technology development. Dr. Ramirez Solana's research interests center on acoustic metamaterials, with particular expertise in sonic crystals, noise barrier design, and Helmholtz resonator applications. His work spans theoretical modeling, computational simulation, and experimental validation, addressing practical noise challenges in urban environments, transportation systems, and architectural spaces. He has developed innovative approaches combining 3D printing technologies with acoustic principles to create customizable noise mitigation solutions. His publication record demonstrates a clear progression toward increasingly sophisticated noise control systems, with recent work integrating machine learning techniques like reinforcement learning with traditional acoustic engineering. The research shows strong practical applications, particularly for train brake noise mitigation and open-air concert acoustics, where traditional noise control approaches face significant challenges. As an active contributor to academic discourse, Ramirez Solana has presented educational research on experimental learning methods for acoustics concepts, demonstrating commitment to knowledge transfer within the field. His multilingual capabilities in English, Spanish, Catalan, and Italian facilitate international collaboration across European research networks.

• Machine Learning
• Deep Learning
• Spectroscopy
• +5 more

Zerara Mohammed is a Researcher and Project Unit Manager at HES-SO Geneva, specializing in Applied Mathematics and Data Science. Their work focuses on machine learning applications in spectroscopy, nanotechnology, and biomedical imaging. Key projects include combining deep learning with Raman spectroscopy for bacterial detection in infant formula milk and developing hyperspectral image classification methods funded by an international organization. Education: Master's in Applied Mathematics - Data Science from Cergy Paris Université (in collaboration with PSL/Paris Dauphine University). Research Interests: Machine learning algorithms for spectral analysis, miniaturized spectrometer design (Nature Communications 2024), computational chemistry (e.g., spin-crossover complexes), and applications in material science. Notable contributions include a 2023 IEEE review on miniaturized spectrometers and foundational work on logP prediction models in the 2000s. Grants & Projects: Ongoing collaborations include a 2022-2023 project on Enterobacter sakazakii detection and hyperspectral anomaly detection research. Previously led studies on chemical pressure effects in metal complexes (Chimia 2002) and Rhea biochemical reaction database updates (Nucleic Acids Res. 2015). Labs/Teams: Primary researcher in HES-SO teams for computational spectroscopy and nanotechnology projects. Collaborates internationally on biomedical sensor development and material science applications.

Serbay DURANView profile

Associate Professor

• Applied Mathematics
• Mathematics Education
• Nonlinear Dynamics
• +4 more

Serbay DURAN is an Associate Professor at Adıyaman University's Faculty of Education, Department of Mathematics and Science Education. He holds a PhD in Applied Mathematics from Fırat University (2012) and has been affiliated with Adıyaman University since 2007, progressing from Research Assistant to Associate Professor. His academic roles include serving as Department Chair, Erasmus Coordinator, and Member of the Accreditation Committee. Education: BSc in Mathematics (Inönü University, 2004), Specialist Degree in Applied Mathematics (Fırat University, 2006), and PhD in Applied Mathematics (Fırat University, 2012). Research Interests: Focuses on nonlinear dynamics, applied mathematics, and mathematics education. Specializes in analytical methods for partial differential equations, solitary wave solutions, educational technology integration, and the history of mathematics. Active in developing teaching methodologies and assessing student problem-solving skills. Publications & Awards: Over 38 peer-reviewed articles in journals like Physica Scripta and Modern Physics Letters B , with impactful work on soliton solutions and nonlinear models. Recognized with TUBITAK incentives, IOP reviewer awards, and inclusion in the Elsevier Top 2% Global Scientists list (2024). Serves on editorial boards of journals like Adıyaman University Journal of Science . Teaching & Mentorship: Teaches courses on mathematical education, nonlinear models, and scientific computing. Advises on educational projects and contributes to curriculum development. Engaged in teacher training and refugee student education challenges. Professional Activities: Editor for Journal of Applied Mathematics and Journal of Studies in Advanced Technologies . Organizes conferences and participates in international academic networks. Leads research teams in fluid dynamics and educational innovation.