Lars Eriksson is a researcher at the Department of Chemistry, Stockholm University, affiliated with the Faculty of Science. He is part of Gunnar Svensson's group, which focuses on solid-state inorganic chemistry, including the synthesis of energy-related compounds and their crystal structure analysis. Research interests span inorganic chemistry, solid-state chemistry, crystallography, energy applications, organic synthesis, catalysis, and chemical education. His work bridges experimental and computational approaches, with recent publications exploring molecular design for energy storage, asymmetric synthesis, triplet-to-singlet energy transfer, and pedagogical strategies in chemistry education. Trends in his research highlight applications in materials science, environmental chemistry, and educational methodologies. While no formal scientific awards are mentioned in the provided texts, his contributions include collaborative studies on catalysis, molecular structure, and student learning processes. He has no listed grants or students, but his publications emphasize tutor-student interactions and practical epistemology analysis. The research group he belongs to investigates fundamental properties of synthesized compounds, often with energy-related applications, and maintains strong ties to the broader chemistry community through peer-reviewed publications and educational studies.
Olle Eriksson is a Professor in the Department of Physics and Astronomy at Uppsala University, specifically affiliated with the Materials Theory division. His research focuses on theoretical and computational approaches to understanding magnetic materials and their properties. His primary research interests include first principles calculations of bulk materials and surfaces, with particular emphasis on magnetism and chemical bonding. His methodological expertise spans full-potential implementations of density functional theory, dynamical mean-field theory, and self-interaction correction. He also conducts calculations of finite temperature magnetism using Monte Carlo simulations and atomistic spin-dynamics simulations, as well as investigations into lattice dynamics and finite temperature effects on phase stability. Professor Eriksson's recent work demonstrates a strong focus on magnetocaloric materials for magnetic refrigeration applications, two-dimensional magnetic materials including van der Waals magnets, topological magnetic textures such as skyrmions, and computational methods for improving density functional theory. His research has significant implications for energy-efficient cooling technologies, next-generation spintronic devices, and fundamental understanding of quantum magnetic phenomena. Materials Science : Magnetocaloric materials, battery materials, 2D materials Computational Physics : Density functional theory, Monte Carlo simulations, spin dynamics Magnetism : Topological textures, chiral magnets, ultrafast dynamics His extensive publication record shows consistent contributions to high-impact journals across physics and materials science, with a notable increase in interdisciplinary work connecting computational physics with materials design for energy applications.
Paul Erhart is a Professor in Condensed Matter and Materials Theory at the Department of Physics, Chalmers University. He received his PhD from Technische Universität Darmstadt in 2006, followed by postdoctoral and staff positions at Lawrence Livermore National Laboratory from 2007, before joining Chalmers in 2011. His research bridges computational physics, materials science, and machine learning to tackle fundamental problems in materials design and characterization. Dr. Erhart's research focuses on computational materials science with particular emphasis on condensed matter physics, nanomaterials, and quantum materials. His work spans from developing computational methods like machine-learned potentials (GPUMD, neuroevolution potentials) to studying fundamental phenomena in perovskites, 2D materials, thermal transport, and plasmonics. He has pioneered approaches connecting simulation with experimental techniques through correlation functions and has made significant contributions to understanding phase transitions, defect physics, and electronic structure in complex materials systems. Analysis of his recent publications reveals a strong trend toward integrating machine learning with traditional computational physics methods. His work increasingly focuses on developing and applying neuroevolution potentials to study thermal properties, phase transitions, and optical phenomena in materials. There's also a clear emphasis on connecting computational results with experimental observations, particularly in neutron scattering, Raman spectroscopy, and plasmonic sensing applications. His research spans fundamental materials physics to applied areas like hydrogen sensing and sustainable materials development. Dr. Erhart has contributed to numerous software packages essential to the computational materials science community, including WulffPack for Wulff constructions, Dynasor for extracting dynamical structure factors, calorine for neuroevolution potential models, and ICET for alloy cluster expansions. His collaborative work spans multiple institutions and disciplines, reflecting the interdisciplinary nature of modern materials research. His contributions to understanding perovskite materials, thermal transport phenomena, and plasmonic systems have established him as a leading researcher in computational materials science.
Edwin Langmann is a Professor of Physics at KTH Royal Institute of Technology in Stockholm, Sweden. He holds a PhD in Theoretical Physics from the University of Vienna (1990) and has held academic positions including Assistant Professor at KTH (1994–1998), Postdoc at the University of British Columbia (1991–1994), and various roles at Swedish institutions since 2000. His research focuses on mathematical physics, integrable systems, and superconductivity theory, with contributions to quantum many-body systems and exactly solvable models. Affiliations: Department of Condensed Matter Theory, KTH Royal Institute of Technology Educations: PhD (Theoretical Physics, University of Vienna, 1990), M.Sc. (Technical Physics, TU Graz, 1986) Langmann teaches courses in physics and mathematical methods, advising numerous master’s theses. His work bridges theoretical physics and mathematics, addressing topics like Calogero-Sutherland models, fractional quantum Hall effects, and Hubbard model phase diagrams. Recent research includes antiferromagnetic order in 3D systems and BCS superconductivity with finite-range potentials. He has supervised students including Frode Boman (2021), Max Oliveberg (2021), and Charles Gilljam (2020). His publications span journals such as Communications in Mathematical Physics and Physical Review B , emphasizing integrable systems and quantum field theory.
Igor Di Marco is a Researcher at Uppsala University's Department of Physics and Astronomy, specializing in Materials Theory. He has maintained continuous research activity at Uppsala since 2009, initially as a postdoctoral fellow and subsequently as a researcher, with a temporary leave in 2017 to lead a group at the Asia-Pacific Center for Theoretical Physics in South Korea. Dr. Di Marco earned his PhD in condensed matter theory from Radboud University of Nijmegen in 2009. His academic trajectory has focused on computational approaches to understanding complex quantum materials, particularly those exhibiting strong electron correlations. His research centers on computational physics and condensed matter theory , with emphasis on developing methods to determine electronic and magnetic properties of strongly correlated materials . Dr. Di Marco is one of the principal developers of the all-electron DFT code RSPt (a Sweden-USA-France collaboration), which utilizes the full-potential linearized muffin-tin orbitals method. His expertise spans density-functional theory (DFT) , dynamical mean-field theory (DMFT) , and their integration (DFT+DMFT). Current research extends to X-ray absorption spectroscopy (XAS) and resonant inelastic X-ray scattering (RIXS) . Analysis of his recent publications reveals a consistent focus on electronic correlations in quantum materials, particularly in kagome metals, van der Waals magnets, and complex alloys. His work bridges theoretical method development with practical materials applications, frequently examining magnetic properties and electronic structure calculations across diverse material systems. Dr. Di Marco has made significant contributions to computational methodologies for strongly correlated electron systems, including the development of the DFT+DMFT framework within RSPt featuring full self-consistency over electron density and self-energy. His research projects have addressed magnetic properties of transition metals, excitation spectra of metal oxides, theoretical frameworks for lanthanides, and prediction of novel 2D materials.
Malin Selleby is a Professor at KTH Royal Institute of Technology, affiliated with the Digital Futures research center and the UNIT STRUCTURES unit. She holds the role of Head of Unit within her department. Her research focuses on computational materials science, thermodynamics, and alloy design, with a particular emphasis on phase equilibria, Calphad modeling, and high-entropy alloys. She teaches courses such as Thermodynamic Modeling and supervises degree projects in materials and process design. Research Interests: Materials Science, Thermodynamics, Metallurgy, Computational Modeling. Key Projects: Third-generation Calphad databases, phase stability analysis, machine learning applications in materials research. Her work bridges fundamental material science with industrial applications, addressing challenges in sustainable materials and alloy development. Over 100 peer-reviewed publications highlight her contributions to thermodynamic modeling, phase equilibria studies, and material characterization. Collaborations span academia and industry, including RISE Research Institutes of Sweden and Stockholm University through Digital Futures. Labs/Teams: Active in the Digital Futures interdisciplinary center and leads research groups focused on computational thermodynamics and advanced materials innovation.
Fredrik Sandin is a Professor in the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology, where he leads the Machine Learning research group with approximately thirty members. His work focuses on neuromorphic technologies and the intersection of machine learning with computational physics to solve challenging real-world interaction problems. He coordinates the 'Teknisk fysik och elektroteknik' program at LTU and has been instrumental in establishing neuromorphic research activities at the university. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering Member of WASP (Wallenberg AI, Autonomous Systems and Software Program) and ELLIS (European Laboratory for Learning and Intelligent Systems) Coordinator of Neuromorphic Innovation Platform Sweden with KTH, Lund University, Uppsala University, FOI, ABB, Ericsson, and SAAB Fredrik earned his PhD in Physics from Luleå University of Technology in 2007, with thesis work focusing on dense states of matter in neutron stars. His academic journey began with an MSc diploma work in ATLAS at CERN in 2001, followed by postdoctoral research in computational physics at IFPA in Belgium (2008-2009) and brain-like computing at EISLAB with Prof. Jerker Delsing (2010-2011). Professor Sandin's research interests center around neuromorphic technologies, particularly neuromorphic computing and spiking neural networks. He investigates sensor/detector and intelligent systems co-design where constraints like energy, power, latency, and dynamic range challenge conventional digital approaches. His work spans mixed-signal neuromorphic circuits, algorithms, and systems, as well as machine learning projects involving industrial data and collaboration. He has been a key figure in establishing neuromorphic research at LTU, supported by The Kempe Foundations, particularly through the 2014 Gunnar Öquist Fellowship. His recent publications demonstrate a strong interdisciplinary focus spanning quantum phase transitions, particle physics detector optimization, renewable energy materials, and the integration of large language models into control systems. This diverse portfolio reflects his approach connecting machine learning with fundamental physics and practical engineering applications, particularly in neuromorphic computing and intelligent systems design, with emphasis on solving real-world problems through co-design of hardware and algorithms. Gunnar Öquist Fellowship Award and 3 MSEK grant from The Kempe Foundations ISSP award for an Original Work in Theoretical Physics (signed by Prof. 't Hooft and Prof. Zichichi) New-Talents award for original work in theoretical physics at the International School of Subnuclear Physics in Erice Professor Sandin has supervised numerous PhD students working on topics ranging from neuromorphic TinyML to materials for neuromorphic computing, privacy-preserving machine learning at the edge, and intelligent fault diagnosis. He has secured substantial research funding from various sources including Vinnova, ÅForsk, Kempe Foundations, WASP-WISE, and EU programs like ECSEL JU Arrowhead Tools and ITEA3 AutoDC. His current major projects include the Neuromorphic Innovation Platform Sweden and several initiatives focused on neuromorphic condition monitoring and computing, with total funding exceeding 30 MSEK in the past five years. He leads the Machine Learning group at LTU, which collaborates extensively with industry partners including ABB, Ericsson, SAAB, SKF, and RISE. The group is active in developing neuromorphic technologies for wireless sensor networks, condition monitoring systems, and next-generation intelligent systems that address energy, power, and latency constraints that challenge conventional digital approaches.
Professor Gert Brodin is a faculty member at the Department of Physics, Umeå universitet, serving as Deputy Head of Department and Assistant Head of Department. His research focuses on plasma theory, particularly in regimes where quantum mechanics and quantum electrodynamics (QED) intersect with plasma dynamics. Key areas include quantum plasmas in high-density environments, relativistic plasmas under ultrastrong electromagnetic fields, and nonlinear wave phenomena. He leads the Plasma Theory research group, exploring topics such as pair production in vacuum/plasma, QED effects in high-intensity laser interactions, and relativistic kinetic theory for spin-1/2 particles. His work employs advanced methods like von Neumann equations for density matrices, Wigner transformations, and the Dirac-Heisenberg-Wigner formalism. Recent publications address semiclassical theories in strong-field plasmas, relativistic Landau quantization, and radiation reaction effects. Brodin has collaborated extensively with researchers such as Haidar Al-Naseri and Jens Zamanian, advancing theoretical frameworks for quantum plasma dynamics. His research group’s projects include studying plasma behavior at the Schwinger limit, electron-acoustic wave damping via multi-plasmon resonances, and ultrafast electron hole dynamics. Brodin holds a Docent qualification and has contributed to influential journals like Physical Review E , Physics of Plasmas , and Reviews of Modern Plasma Physics .
Tony Hansson is a Professor in the Department of Physics at Stockholm University, focusing on chemical physics and surface reaction dynamics. His research employs advanced spectroscopic techniques like femtosecond photoelectron spectroscopy and sum frequency generation to study molecular interactions with laser pulses and catalytic surfaces. Research Areas: Ultrafast laser-matter interactions, hydrocarbon decomposition, catalyst passivation, and excited state molecular relaxation. Methodologies: Combines experimental approaches (TPD, SFG, XPS, STM) with computational methods (DFT, molecular dynamics). Recent publications highlight his work on naphthalene dehydrogenation on nickel surfaces, sulfur's role in carbon formation, and oxide-derived gold electrode characterization. His studies bridge fundamental atomic-level processes with industrial catalysis applications. Key collaborations include Oliver Schalk and Ting Geng, with affiliations to Stockholm University's Fysikum facility. Contact: thansson@fysik.su.se
Regina Lindborg is a Professor of Geography at Stockholm University's Department of Physical Geography. Her research bridges landscape ecology, biodiversity conservation, and sustainable land management through interdisciplinary collaborations with economists and human geographers. Focus areas: Semi-natural grasslands, climate change impacts, wetland ecosystems Key projects: Cross-continental studies in Tanzania, Fennoscandian grazing systems analysis Her work demonstrates critical trade-offs between agricultural intensification and biodiversity preservation, with specific emphasis on nutrient transfer dynamics through grazing animals. Systematic reviews of global literature reveal knowledge gaps in long-term ecological impacts of management interventions. Recent publications analyze: Soil carbon sequestration in converted croplands Temperature response gradients in wetland flora Multi-taxa functional diversity in woody pastures Social-ecological feedbacks in smallholder farming systems Her research methodology integrates field experiments (e.g., temperature manipulation chambers), large-scale chronosequence analysis, and stakeholder interviews to inform evidence-based policy.
Professor Igor Abrikosov is a Professor, Head of Division, and Head of Unit at Linköping University's Department of Physics, Chemistry and Biology (IFM), within the Faculty of Science and Engineering. His research group focuses on theoretical simulations to advance materials science and industry applications. He leads projects involving extreme conditions, materials design, and quantum technologies, supported by grants from the Swedish Research Council, SSF, and Wallenberg Foundation. Education includes a Candidate (1991) and Doctorate (1997) in Physics and Mathematics from the Moscow Steel & Alloys Institute, followed by roles at Uppsala University and international collaborations. His research interests span solid-state physics, materials properties under extreme conditions, and computational modeling. Recent work includes discoveries in phase transitions, quantum materials, and defect engineering. His group emphasizes collaborative environments, with systematic credit to contributors. Key projects include materials at extreme pressures, functional carbides, and quantum technologies. He coordinates interdisciplinary initiatives like the Swedish e-Science Research Centre and the International Interdisciplinary Materials Science Laboratory for Advanced Functional Materials. Grants include funding for quantum bit research (Knut & Alice Wallenberg Foundation) and predictive materials design (VR/SSF). His team includes over 40 members, with active PhD students and postdocs. He has pioneered theoretical foundations for novel materials synthesis under high pressure, such as beryllonitrene and silica phases.
Per Hyldgaard is a Professor at the Quantum Component Physics department of Chalmers University of Technology . His research focuses on developing and applying van der Waals density functionals (vdW-DF) to study molecular binding, nanomaterials, and condensed matter systems. Key areas include nonlocal correlation effects, electronic structure analysis, and material properties under extreme conditions. Research Interests: Hybrids of van der Waals functionals, quantum materials, adsorption mechanisms, and computational materials science. His work bridges theoretical frameworks with experimental validation, addressing challenges in predicting CO₂ adsorption, metallic surface interactions, and polymeric systems. Recent Projects: 2019–2022: VR-funded study on charge transfer in soft materials. 2015–2018: Consistent vdW-DF studies for molecular systems. 2014–2019: High-speed graphene-based electronics collaboration. Publications: Over 100 peer-reviewed articles, including foundational work on vdW-DF methods and applications in nanotubes, layered materials, and catalytic systems. Recent trends emphasize hybrid functional optimization and energy scaling laws in nanostructures. Grants & Teams: Collaborations with EU and SSF on bio-inspired molecular networks and high-speed electronics. Active in developing libvdwxc , a software library for vdW-DF functionals.
Zhao Wang serves as a Senior Lecturer within the Sustainability Science subject group at the University of Gävle, where he conducts research in environmental engineering and teaches across undergraduate and master's programmes. He holds management responsibility for an engineering-focused undergraduate programme developing technologies to mitigate environmental problems through emission reduction and enhanced energy/resource recycling. His research evaluates technologies delivering energy and environmental benefits while supervising doctoral students in sustainability science. Education PhD in Theoretical Chemistry/Physics, KTH Royal Institute of Technology, Stockholm (2013) Research Interests Dr. Wang's expertise spans environmental engineering and sustainability science, with concentrated focus on waste management systems, renewable energy integration, and circular economy principles. His work employs life cycle assessment methodologies to analyze biogas production, urban resource flows, and waste-to-energy technologies, emphasizing practical solutions for emission reduction and resource recovery in both Swedish and international contexts. Publication Trends His scholarly output demonstrates a clear evolution from foundational theoretical work in fluid physics (2011-2016) to applied environmental engineering research (2018-2025). Recent publications center on sustainable infrastructure development, particularly decentralized urban systems for energy/water/nutrient management, biogas value chains, and waste treatment optimization using tools like ORWARE modeling and life cycle assessment. Advising and Grants Dr. Wang actively supervises doctoral candidates in sustainability science. While specific grant details aren't disclosed, his research profile indicates involvement in nationally and internationally funded projects addressing environmental technology development, particularly in waste valorization and sustainable urban systems. Labs and Teams As a core member of the Sustainability Science subject group, he collaborates with interdisciplinary researchers across Sweden, Mexico, Spain, and Turkey. His leadership in the undergraduate engineering programme demonstrates institutional commitment to developing practical environmental technologies, while his publication co-authorship reflects strong international research networks focused on real-world sustainability challenges.
Ida Bergvall is a Senior lecturer at the Department of Pedagogy, Didactics and Educational Sociology at Uppsala University. Her academic work focuses on the intersection of mathematics education, linguistic analysis, and multimodal communication in educational contexts. Dr. Bergvall's research primarily investigates mathematical subject language and its impact on diverse student populations. Her work examines: How linguistic features in mathematics tests affect different student groups The multimodal nature of mathematical communication (text, symbols, images) Information density in mathematical materials Differences between language use in mathematics and science The role of dynamic elements in digital teaching platforms Collaborative problem-solving approaches in mathematics education Her publication history reveals an evolving research trajectory from foundational linguistic analysis of mathematics education toward contemporary investigations of digital learning environments. Bergvall consistently applies social semiotic perspectives to understand how multiple modes of communication function together in mathematical education. Recent work demonstrates increasing focus on dynamic elements in digital teaching platforms and their influence on students' reading behavior and comprehension processes. While specific grant information isn't detailed in the provided materials, her research appears to focus on collaborative projects examining mathematical language, particularly through the lens of TIMSS (Trends in International Mathematics and Science Study) data analysis and contemporary digital learning environments.
Heike Herper is a Researcher at the Department of Physics and Astronomy (Materials Theory) at Uppsala University . Her work focuses on computational studies of magnetic materials, particularly for permanent magnet applications and magnetocaloric systems, within the NOVAMAG EU project . Affiliation: Uppsala University, Materials Theory Email: heike.herper@physics.uu.se Research involves Density Functional Theory (DFT) calculations combined with Monte Carlo simulations to model finite temperature effects. Key projects include identifying non-hazardous permanent magnet alternatives, studying rare-earth materials, and developing electronic structure databases. Recent publications highlight her expertise in analyzing: Pressure-induced stacking faults in Gd (2024) Giant magnetocaloric effects in Mn,Fe NiSi (2024) Rare-earth-free magnets via high-throughput screening (2023) Magnetic phase diagrams of Heusler alloys (2022) Electronic structure of transition metal complexes (2020)
