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Matthew GoecknerView profile

Professor

• Low-Temperature Plasmas
• Plasma Physics
• Plasma Chemistry
• +12 more

Matthew Goeckner is a Professor at the University of Texas at Dallas, with appointments in the Department of Physics (School of Natural Sciences and Mathematics) and affiliations in Electrical Engineering, Mechanical Engineering, Materials Science and Engineering, and Science and Mathematics Education (all within the Erik Jonsson School of Engineering and Computer Science). He is an active researcher, educator, and administrator, contributing significantly across disciplines. His educational background includes a Ph.D. in Physics from the University of Iowa (1990), a Postdoctoral Fellowship at the University of Wisconsin’s Engineering Research Center for Plasma Aided Manufacturing (1994), an M.S. in Physics from UCLA (1984), and dual B.S. degrees in Physics and Mathematics from Southern Illinois University (1983 and 1982, respectively). Goeckner's research focuses on low-temperature plasmas, particularly their complex chemical dynamics in industrial applications such as semiconductor etching and deposition. He emphasizes experimental validation of plasma models, identifying limitations in electron energy distributions and reaction databases. His work bridges fundamental plasma physics with engineering applications. In parallel, he is a leader in science and engineering education, having restructured curricula, improved student success metrics (including GPA increases and reduced withdrawal rates), and championed active learning and metacognitive development across STEM programs at UTD. His recent publications (2024) reflect ongoing innovation in plasma diagnostics, machine learning for plasma prediction, and power analysis in moderate-pressure discharges—showcasing a sustained research trajectory focused on understanding and controlling complex plasma systems. These works span experimental methods, computational modeling, and real-world applicability in industrial processing. Fellow of the American Vacuum Society (2016) UT System Regent's Teaching Award (2013) UTD President's Teaching Award (2012) Outstanding Service Award, Jonsson School (2007) William C. Ballowe Sr. Award (1982) Goeckner has advised numerous M.S. and Ph.D. students in Mechanical and Electrical Engineering and continues to mentor postdoctoral scholars. He has led major educational initiatives, including curriculum mapping for STEM courses and the development of a successful freshman seminar adopted university-wide. His administrative service includes interim and associate head roles in Mechanical Engineering and leadership in rebuilding the Mathematical Sciences department. He has also overseen the construction of new teaching laboratories and facilities. He is affiliated with researchers at UTD and local community colleges and has delivered numerous invited talks internationally on plasma chemistry and nanotube growth. His work is supported by collaborative projects and service on state and national education committees, reflecting his broad impact on both research and academic policy.

Brian BeeckenView profile

Professor

• Physics
• Engineering
• Spacecraft Charging
• +6 more

Brian Beecken is a Professor in the Department of Physics & Engineering within the College of Arts and Sciences at Bethel University, where he has been a faculty member since 1988. His work bridges physics and engineering, with a strong emphasis on applied research in space and defense technologies. Education: B.A. in Mathematics and Physics, Elmhurst College, 1980 M.S. in Physics, University of Minnesota, 1984 Ph.D. in Physics, University of Minnesota, 1986 Brian Beecken's research is centered on the physical and engineering challenges of spacecraft systems, particularly the modeling of dielectric charging in space environments and the development and analysis of optical and infrared detectors. His work involves advanced statistical and computational modeling to understand noise in focal plane arrays and limitations in infrared detection systems. These interests are deeply applied, with real-world implications for satellite reliability and remote sensing technologies. His publication record, though modest in volume (around a dozen papers), reflects sustained engagement with high-impact research problems in aerospace and defense. The articles span topics from spacecraft charging to infrared imaging, showing a consistent focus on detector physics and space environment interactions. The keywords across these works highlight expertise in Physics , Engineering , Optics , and Space Science , with subfields including noise modeling , infrared detection , statistical analysis , and spacecraft surface charging . Scientific Awards: Bethel Excellence in Scholarship Award Brian Beecken has secured significant external funding for his research, demonstrating strong national recognition. His work has been supported by 5 NASA fellowships , 1 NASA grant , 2 grants from the Air Force Office of Scientific Research (AFOSR) , 4 AFOSR fellowships , 4 fellowships from the American Society for Engineering Education , 1 grant from Calspan Corp. , and is currently funded by a 2-year grant from the Air Force Research Laboratory . These grants support both his research and likely the training of student researchers, although specific advisees are not listed. His collaborations with NASA's Jet Propulsion Laboratory (JPL), Langley Research Center, and multiple Air Force labs underscore his integration into national research networks. While no formal lab or research team is explicitly named, his extensive collaborative projects with federal agencies suggest leadership in a research group focused on applied physics and engineering at Bethel. His work on test facility development at Eglin Air Force Base further indicates project management and instrumentation development experience.

Nicola DelmonteView profile

Associate Professor

• Power Electronics
• Renewable Energy
• Smart Grids
• +7 more

Nicola Delmonte is an Associate Professor in the Department of Engineering and Architecture at the University of Parma, Italy. His academic and research career has been centered on power electronics, renewable energy systems, smart grids, and the reliability of electronic components, with applications in energy conversion and IoT technologies. PhD in Electronic Engineering, University of Parma (2003–2005) Master Degree in Electronic Engineering, University of Parma (1995–2002) His research interests focus on the design, modeling, and reliability of power electronic systems for renewable energy integration. He has led and contributed to numerous research projects including the EU-funded H2020 Sharc25, MARINET’s MORE project on ocean energy, and regional initiatives like FIL 2014 on DC Nano-Smart-Grids. His work bridges theoretical modeling with practical innovation, including the development of energy-harvesting piers and wireless monitoring systems for agriculture. The recent publications reflect a strong trend in energy systems modeling, thermal management of power electronics, and advanced instrumentation. Key themes include FEM-based thermal design, adaptive control for battery charging, laboratory-scale geophysical imaging, and integrated building energy models. These works span disciplines such as power electronics, renewable energy, and applied physics. Best Poster Award at GE 2012 for thermal modeling of converters 2nd place in the 2011 International Competition on Renewable Energy for Smaller Islands with the 'e-piers' concept Delmonte has supervised research teams and served as principal investigator on multiple grants, including projects funded by the European Commission, Regione Emilia Romagna, and national research programs (PRIN, COFIN). He teaches a range of courses in electronics and energy conversion across undergraduate and graduate programs in Computer, Electronic, and Communications Engineering, as well as Mechanical Engineering. He is a member of IEEE and the Order of Engineers of Parma, and has acted as a reviewer for journals such as Microelectronics Reliability and Transactions on Device and Materials Reliability. He is involved in experimental and applied research labs focusing on power electronics, smart grids, and renewable energy systems. His team has developed platforms for high-frequency characterization of semiconductor modules and testing of ocean energy harvesting devices. Current efforts include the development of 3D-printed cooling solutions and intelligent control systems for modular power converters.

Jeremy GulleyView profile

Associate Professor

• Ultrafast nonlinear optics
• Computational physics/optics
• Ultrafast laser-induced damage
• +4 more

Jeremy Gulley is an Associate Professor of Physics at Kennesaw State University's College of Science and Mathematics Education. His research focuses on ultrafast nonlinear optics, computational physics, and laser-induced damage in materials. He earned his Ph.D. in Physics from the University of Georgia (2009) and a B.S. in Physics from Furman University (2003). Ph.D., Physics, University of Georgia (2009) B.S., Physics, Furman University (2003) Dr. Gulley's research explores intense ultrashort laser-pulse propagation through dielectrics and semiconductors, emphasizing nonlinear effects like self-focusing, plasma generation, and filamentation. He develops models reconciling quantum kinetics with classical propagation equations for multi-chromatic pulses and investigates asymmetrical beam propagation effects. His work spans theoretical and applied physics, including GaAs quantum dots and photonic applications for defense and aerospace. Recent publications show trends in Quantum wire arrays Multi-chromatic pulse modeling Plasma dynamics in nanowires Free-carrier absorption Kerr effect in bulk solids Dielectric modification simulations Scientific awards include: People's Choice Award, John C. Salerno Symposium (2018) BEST Oral Paper, SPIE Laser Damage Symposium (2010) Bill Cummings Award for Outstanding Graduate Student (2008) James L. Carmon Honorarium (2005) He has secured $360,000 from the Air Force Office of Scientific Research (2013-2016) and $116,948 from the National Science Foundation (2019-2022). Dr. Gulley teaches courses from introductory physics to graduate computational nonlinear optics and electromagnetism, with experience in Studio Physics and international seminars. He serves as a referee for journals like Physical Review Letters and Optics Express.

Enrico RiccardiView profile

Associate Professor

• Molecular Dynamics
• Machine Learning
• Rare Event Simulation
• +7 more

Enrico Riccardi is an Associate Professor in Computational Engineering at the Department of Energy Resources, Faculty of Science and Technology, University of Stavanger (UIS), Norway. His work bridges computational chemistry, machine learning, and multi-scale modeling, with applications in energy, environmental science, and biophysics. Research Interests: His core expertise lies in molecular dynamics , rare event simulation methods (e.g., reaction kinetics and adsorption), and multi-scale modeling from molecular to continuum levels. He is a key developer of path sampling methodologies and software such as PyRETIS and PyVisA , enabling the study of slow and rare processes in complex systems. His research spans interfacial phenomena in emulsions, membrane permeation, atmospheric chemistry, and data-driven discovery of reaction pathways using machine learning. Recent Publication Trends: Over the past decade, Riccardi has consistently published in high-impact journals such as Journal of Chemical Physics , Physical Chemistry Chemical Physics , and Nature Machine Intelligence . His recent work (2023–2025) shows an expanded scope into educational technology , environmental science , and open-source tool development (e.g., GeoSight), reflecting a growing interdisciplinary impact. The publications reveal a strong focus on algorithmic innovation in simulation methods and their application across chemistry, biology, and engineering. Scientific Contributions: Lead and co-developer of PyRETIS, a widely used open-source library for rare event simulations. Contributor to immuneML, a machine learning ecosystem for immune repertoire analysis published in Nature Machine Intelligence . Active in promoting open science, data sharing, and academic integrity through public commentary and educational initiatives. Advising and Grants: While no formal students are listed in the provided text, Riccardi has mentored or collaborated with numerous early-career researchers and PhD candidates, particularly within the van Erp group. He has contributed to multiple collaborative research projects, likely funded by Norwegian and European research councils, though specific grants are not mentioned. His outreach on postdoctoral challenges suggests engagement with academic policy and mentorship. Labs and Teams: Riccardi is part of a vibrant computational research group at UIS, closely collaborating with Prof. Titus Sebastiaan van Erp and colleagues in the Department of Energy Resources. His work is embedded in a team focused on advanced simulation techniques, with strong ties to international networks in computational chemistry and soft matter physics.

Irene AriasView profile

Professor

• Modeling and simulation of active materials
• Fracture mechanics in electromechanical materials
• Phase-field models of fracture
• +3 more

Irene Arias is a Professor at the Universitat Politècnica de Catalunya (UPC) and an ICREA Academia Awardee. She holds a PhD in Mechanical Engineering from Northwestern University (2003) and a BS/MS in Civil Engineering from UPC. Her postdoctoral research at Caltech focused on computational solid mechanics under Prof. Michael Ortiz. Her research interests revolve around modeling and simulation of active materials, particularly flexoelectricity in solids. She investigates fracture mechanics in electromechanical systems, phase-field models of fracture, and ferroelectric materials. Recent work emphasizes flexoelectric effects in nanoscale materials and their applications in electromechanical transduction. Publications span computational mechanics, metamaterials, and nanotechnology. Notable contributions include modeling surface effects in flexoelectric materials and developing topology optimization frameworks for apparent piezoelectricity. She also leads the Spanish Association of Numerical Methods in Engineering (SENI-CIMNE).

• Nonlinear Partial Differential Equations
• Cross-Diffusion Systems
• Mathematical Modeling in Semiconductor Devices
• +5 more

Ansgar Jüngel is a Full Professor for Analysis of Nonlinear Partial Differential Equations at TU Wien, Austria. He leads the Institute of Analysis and Scientific Computing within the Faculty of Mathematics and Geoinformation. His research focuses on mathematical modeling, analysis, and numerical simulation of complex systems, particularly in semiconductor physics, quantum hydrodynamics, and biological transport phenomena. Jüngel holds a PhD from TU Berlin (1994) and habilitation (1997), with prior academic roles at University of Konstanz and University of Mainz. His work spans nonlinear PDEs, cross-diffusion systems, entropy methods, and applications in semiconductor modeling (e.g., quantum drift-diffusion, Maxwell-Stefan systems). Notable contributions include rigorous derivation of energy-transport models, analysis of quantum fluid models, and development of entropy-dissipative numerical schemes. Awards include the ERC Advanced Grant (2021) and Tsungming-Tu Award (2011). Teaching emphasizes advanced mathematical topics: cross-diffusion systems, partial differential equations, and computational finance. Active in PhD supervision and collaborative projects, he co-authored books on transport equations, entropy methods, and semiconductor modeling. His team includes postdocs and PhD students working on topics like multi-species populations, tumor growth modeling, and stochastic cross-diffusion systems.

Shaul MukamelView profile

Professor

• Ultrafast Spectroscopy
• Nonlinear Optical Spectroscopy
• Biophysical Chemistry
• +7 more

Shaul Mukamel is the Chancellor Professor of Chemistry at the University of California, Irvine (UCI), with affiliations at the Freiburg Institute for Advanced Studies (FRIAS) in Germany. He holds a Ph.D. from Tel Aviv University (1976) and has held faculty positions at Rice University, the Weizmann Institute, and the University of Rochester. His research focuses on developing computational techniques for ultrafast laser spectroscopy, probing electronic and vibrational dynamics in molecules, and applying these to biophysical systems like protein folding, photosynthetic complexes, and semiconductor nanostructures. He is a recipient of prestigious awards including the Sloan, Dreyfus, Guggenheim, and Alexander von Humboldt Fellowships, and is a Fellow of the American Physical Society and Optical Society of America. Research Interests: His work spans nonlinear optical spectroscopy, attosecond X-ray techniques, quantum coherence in photosynthetic systems, and entangled photon-based spectroscopy. He has pioneered methods for analyzing multidimensional optical signals and simulating energy transfer pathways in biological complexes. Grants & Funding: Supported by NIH, NSF, DOE, and Petroleum Research Fund grants for studies on molecular relaxation, nonlinear optical phenomena, and single-molecule spectroscopy. Awards: OSA Lippincott Award (2015), APS Plyler Prize (2008), and numerous fellowships. His textbook Principles of Nonlinear Optical Spectroscopy (Oxford, 1995) is a seminal reference in the field.

Jens TommView profile

Researcher

• Semiconductor Physics
• Optoelectronics
• Quantum Materials
• +3 more

Dr. Jens Tomm is a Senior Researcher at the Max Born Institute for Nonlinear Optics and Short Pulse Spectroscopy (MBI), where he has been since 1995. His work focuses on high-power semiconductor lasers, optoelectronic device limitations, and material characterization. He collaborates with industry partners like Osram and Lumentum, studying GaN-based devices and degradation mechanisms. Key projects include analyzing catastrophic optical damage, carrier dynamics in quantum wells, and luminescence properties of materials like ZnSe and MgAl2O4. Education: PhD in Physics (1984, Humboldt University), Diplom (1982). Previous roles include visiting professorships at Georgia Tech (1993–1995) and RIKEN (1999). Author of books on optoelectronic semiconductors and quantum-well laser packaging. His research spans semiconductor materials science, laser physics, and device reliability. Recent work emphasizes UV LEDs, infrared solid-state lasers, and nanoscale heterostructures. Key Projects: Catastrophic optical damage analysis, GaN-based laser reliability, quantum well recombination studies. Collaborations: BMBF projects (e.g., BlauLas), industry partnerships with Osram, Dilas, and Lumentum. Techniques: Photoluminescence, transient spectroscopy, cathodoluminescence, Raman spectroscopy. Publications focus on semiconductor laser physics, material degradation, and optoelectronic device optimization. Over 100+ peer-reviewed articles and two Springer/McGraw-Hill books highlight his contributions to the field.

Roel TempelaarView profile

Assistant Professor

• Quantum Mechanics
• Quantum Materials
• Spin & Chirality
• +3 more

Roel Tempelaar is an Assistant Professor in the Chemistry Department at Northwestern University, specializing in theoretical and computational chemistry. His research focuses on bridging quantum and classical mechanics to understand nanoscale phenomena in materials, with applications in chemistry, physics, and materials science. He develops novel numerical and analytical tools to study quantum-classical interfaces and collaborates extensively with experimentalists using optical techniques. B.S., University of Groningen (2009) Ph.D., University of Groningen (2015) Research Interests: Exploring the quantum-classical boundary through: Quantum Materials (electron-nuclear interactions beyond Born-Oppenheimer approximation) Spin & Chirality (photonic spin coupling to chiral matter excitations) Polaritonics (hybrid light-matter states in optical resonators) Publications Trends: Focuses on quantum dynamics of excitons, trions, and coherence phenomena in biological and synthetic materials. Uses computational modeling to analyze femtosecond spectroscopy data and develop quantum-classical hybrid methods. Scientific Recognition: 2017 Postdoctoral Fellowship (Penn Conference in Theoretical Chemistry) 2016 Rubicon Grant (Netherlands Organisation for Scientific Research) 2010 Huygens Scholarship (Dutch Ministry of Education) Advising & Collaborations: Mentors a diverse team including undergraduates, graduate students, and postdoctoral researchers. Collaborates with experimental scientists to validate theoretical models. Former mentees now work at institutions like LANL, ASML, and QSimulate.

Neil DrummondView profile

Senior Lecturer

• Quantum Monte Carlo
• Two-dimensional materials
• Graphene
• +5 more

Neil Drummond is a Senior Lecturer in the Physics Department at Lancaster University, where he conducts research in computational condensed matter physics. He is affiliated with both the Quantum Technology Centre and the Condensed Matter Theory group, focusing on advanced computational methods for studying quantum systems. Dr. Drummond's research interests center on the development and application of quantum Monte Carlo methods for calculating material properties from first principles. His work spans several key areas including two-dimensional materials (particularly graphene, silicene, and transition metal dichalcogenides), materials at high pressure, and electron(-hole) gases. His computational approach enables precise modeling of quantum effects in condensed matter systems that are challenging to study with conventional methods. Analysis of Dr. Drummond's recent publications reveals a strong focus on quantum Monte Carlo techniques applied to two-dimensional electron systems and novel materials. His work consistently addresses fundamental questions about electron correlation, phase transitions, and quasiparticle properties in low-dimensional systems. The research demonstrates increasing computational sophistication, with recent papers exploring GPU acceleration of quantum Monte Carlo codes and reproducibility of computational methods. Dr. Drummond currently supervises two postgraduate research students, James Doughty and Clio Johnson, guiding them in the development and application of quantum Monte Carlo methods. He serves as Principal Investigator for the PAX-HPC (Particles At eXascale On high Performance Computers) project, funded by the Engineering and Physical Sciences Research Council, which runs from December 2021 to March 2025. This project represents significant research funding supporting advanced computational physics research at Lancaster University. Within the Lancaster University research ecosystem, Dr. Drummond contributes to the Quantum Technology Centre, where his computational expertise complements experimental work on quantum materials and devices. His research forms part of the broader condensed matter physics efforts at the university, which spans both fundamental theoretical investigations and potential applications in next-generation electronic materials.

Marios NestorosView profile

Professor

• Photothermal Physics
• Light-Matter Interactions
• Semiconductor Physics
• +4 more

Professor Marios Nestoros is an academic at the University of Nicosia, where he serves as an Associate Dean of the School of Sciences and Engineering and holds a Professor position in the Department of Engineering. He earned his BSc in Physics from the National and Kapodestrian University of Athens (1994) and his PhD in Physics from the University of Cyprus (2000). Education: BSc (Athens), PhD (Cyprus) Research Interests: Photothermal physics, semiconductor diagnostics, RFID antenna design, and biomedical applications Teaching: General Physics, Biophysics, Semiconductor Devices, Renewable Energy His recent research explores machine learning applications for skin cancer detection and photothermal analysis of semiconductors. He has published 27 peer-reviewed works and maintains professional affiliations with the American Institute of Physics (AIP) and European Physical Society (EPS).

Alán Aspuru-GuzikView profile

Professor

• Quantum Computing
• Theoretical Chemistry
• Machine Learning
• +3 more

Alán Aspuru-Guzik is Professor of Chemistry and Computer Science at the University of Toronto, holding the Canada 150 Research Chair in Theoretical Chemistry, Canada CIFAR AI Chair at the Vector Institute, and Google Industrial Research Chair in Quantum Computing. He directs the Acceleration Consortium, a strategic initiative uniting industry, government, and academia for pre-competitive research on the 'lab of the future'. His educational background includes a PhD in Physical Chemistry from UC Berkeley and BSc in Chemistry from the National Autonomous University of Mexico. Research spans quantum information, chemistry, and machine learning—pioneering quantum algorithms for chemical simulations, investigating quantum coherence in photosynthesis, and accelerating discovery of organic semiconductors, photovoltaics, and batteries. Current focus centers on autonomous chemical laboratories integrating AI and robotics. Recent publications (2024-2025) reveal dominant trends: self-driving laboratories for materials synthesis, quantum computing applications in molecular simulation, and generative AI for metal-organic frameworks and drug discovery. Key methodologies include reinforcement learning for experimental design and vision-language models for reaction mining. Major awards include: Chemical Engineering Medal (2023) John C. Polanyi Award (2023) MIT TR35 (2010) Sloan Research Fellowship (2009) Canada 150 Research Chair (2018) As Director of the Acceleration Consortium, he leads multi-institutional efforts in autonomous research systems, supported by Canadian government chairs and Google funding. His editorial role at Digital Discovery and co-founding of Zapata AI (quantum software) and Kebotix (robotic labs) demonstrate commitment to transforming scientific discovery through AI-driven automation.

• Condensed Matter Physics
• Materials Science
• Molecular Dynamics
• +6 more

Dr. Alston Misquitta is a Lecturer in Condensed Matter and Materials Physics at the School of Physics and Astronomy, Queen Mary, University of London . His research focuses on intermolecular forces, symmetry-adapted perturbation theory (SAPT), and computational modeling of molecular and solid-state systems. Research Interests Development of ab initio and non-empirical force fields Intermolecular interaction energy decomposition Electronic structure theory applied to molecular and nanoscale systems Crystal structure prediction and validation High-pressure materials science Publication Trends Dr. Misquitta’s publications span computational chemistry, condensed matter physics, and materials science, with a strong emphasis on SAPT-based methods, polarizable force fields, and molecular dynamics simulations for organic and inorganic systems. His work addresses challenges in modeling hydrogen bonding, dispersion interactions, and excited-state phenomena. Contact Information Email: a.j.misquitta@qmul.ac.uk Phone: 020 7882 3427 Room: G Jones 216 Address: 327 Mile End Road, London, E1 4NS

• Materials Science
• Computational Chemistry
• Solid-State Physics
• +3 more

Dr Conn O'Rourke is a Senior Research Software Engineer at the University of Southampton . His work bridges computational chemistry and materials science, focusing on software development for scientific analysis, crystallography, and energy storage materials. Research interests: Materials Science, Computational Chemistry, Solid-State Physics, Nanotechnology, Electrochemistry, Physical Chemistry Publications highlight collaborations with researchers like Benjamin J. Morgan and David R. Bowler, covering topics such as lithium diffusion pathways, crystal tortuosity, and dye-sensitized solar cells. His recent work in Journal of Materials Chemistry A explores antiperovskite structures for battery applications, while earlier contributions in Journal of Physical Chemistry C address defect engineering in TiO 2 . Publications demonstrate expertise in quantum chemistry, numerical algorithms, and nanomaterials. Conn develops open-source tools like crystal-torture for materials analysis and contributes to scientific software infrastructure. Current projects focus on computational modeling of energy storage systems and nanoscale interfaces.