Find Academic Supervisors

• Materials Science
• Computational Chemistry
• Machine Learning
• +4 more

Miguel Caro serves as an Assistant Professor in the Department of Chemistry and Materials at Aalto University, where his research integrates computational methods with materials science to address complex challenges in atomic-scale modeling and catalytic processes. His primary research domains encompass: Materials Science Computational Chemistry Machine Learning Catalysis Nanomaterials Electrochemistry Amorphous Materials Specializing in the development of machine learning interatomic potentials, Caro focuses on modeling hydrocarbon systems, carbon-based nanomaterials, and electrocatalytic phenomena. His work bridges theoretical simulations with experimental validation, particularly in hydrogen evolution reactions, CO 2 reduction, and thermal transport properties of disordered materials. Recent publications (2023–2025) reveal a cohesive research trajectory centered on machine learning-driven materials discovery. Key contributions include unifying frameworks for carbon material descriptions, anomalous catalytic effects in bimetallic nanoclusters, and advanced methodologies for modeling amorphous systems. His approach consistently combines computational innovation with practical applications in energy conversion and sustainable chemistry. Caro actively contributes to the DAS Group at Aalto University, which pioneers data-driven strategies for materials characterization and design. This collaborative environment supports his interdisciplinary investigations spanning quantum mechanics, machine learning, and experimental materials science. No information regarding student supervision, grant funding, or scientific awards is available in the source material.

Juha TiihonenView profile

Researcher

• Quantum Chemistry
• Computational Physics
• Monte Carlo Simulations
• +3 more

Juha Tiihonen is a Postdoctoral Researcher in Physics at the Faculty of Engineering and Natural Sciences, Tampere University. He holds a Master of Science (Technology) in Science and Engineering from Tampere University of Technology (2014) and a Doctoral thesis in Thermal Effects in Atomic and Molecular Polarizabilities with Path Integral Monte Carlo (2019). His research focuses on quantum Monte Carlo methods, path integral simulations, and computational studies of material properties, including electronic structure theories, nanocluster optimization, and thermal effects in quantum systems. Key research interests include: Quantum Chemistry and Computational Physics Monte Carlo Simulations and Path Integral Methods Electronic Structure and Material Science Thermal Effects in Atomic/Molecular Systems Transition States and Reaction Pathways Recent work spans structural optimization of gold nanoclusters, magnetic properties of monolayer CrI3, and stochastic electronic structure theories. His articles reflect advancements in computational methods for quantum systems and materials. He received the Wihuri Foundation Grant (2017–2018) and has organized workshops, including chairing the 'Methods on Computations, Chaos, and Approximations' event in 2017. Collaborations include international institutions like the University of Illinois at Urbana-Champaign and research groups focused on quantum dot cellular automata and nanoelectronics.

Adam FosterView profile

Professor

• Surface Science
• Quantum Mechanics
• Nanotechnology
• +4 more

Adam Foster is a Professor at the Department of Applied Physics , Aalto University, specializing in surface and interface physics at the nanoscale. His research focuses on atomistic and quantum mechanical simulations, particularly using first-principles methods and scanning probe microscopy (SPM). He holds external positions as Visiting Professor at Johannes Gutenberg University Mainz (2017–2019) and Research Professor at Kanazawa University (2015–2027). Key research areas include nanoscale friction, nanomanipulation, nanocatalysis, and molecular electronics, with a strong emphasis on collaboration with experimentalists. His work contributes to UN Sustainable Development Goals related to clean energy and responsible consumption. Foster leads several projects, such as Autoatomic (2022–2026), focusing on SPM integration with AI, and FinnCERES (2022), advancing sustainable materials. Notable achievements include the Väisälä Prize (2009) and over 222 publications. His recent work explores molecular chirality, antiferromagnetic materials, and surface hydration structures. Foster actively participates in conferences, workshops, and media outreach, highlighting breakthroughs in molecular control and liquid-repellent surfaces.

Milica TodorovicView profile

Associate Professor

• Computational Materials Science
• Artificial Intelligence for Materials Design
• First-Principles Simulations
• +6 more

Milica Todorovic serves as an Associate Professor in the Department of Materials Science within the Faculty of Science and Engineering at the University of Turku (UTU). She leads the Materials Informatics Laboratory (MIL) and heads the Modern Industrial Materials MSc track. Her institutional roles include Vice-director of the Sustainable Materials and Manufacturing (SUSMAT) UTU profiling area, Vice-chair of COST Action CA22154 DAEMON, Vice-leader of the Human-Centric Artificial Intelligence for Sustainable Future (HAIF) Doctoral Training Network, and Co-lead of Finnish Centre for AI (FCAI) Highlight E. Her research integrates artificial intelligence algorithms with first-principles simulations to optimize functional materials and device performance. The MIL group develops data-driven solutions spanning aerosol research, chemical engineering of bio-based materials, and experimental-computational integration. Current projects focus on battery recycling optimization, magnetic materials design, perovskite engineering, and atmospheric aerosol analysis using Bayesian optimization and active learning techniques. Her work demonstrates significant interdisciplinary reach across computational chemistry, nanotechnology, and sustainable engineering. Scientific contributions include: Development of AI workflows for materials discovery Bayesian optimization frameworks for adsorption structure prediction Question answering systems for materials literature mining Data-efficient methods for molecular property prediction Her teaching portfolio includes advanced courses in Data Visualisation and Analysis, Simulations and New Materials, and Machine Learning for Materials Science. She actively contributes to European research networks through DAEMON and FCAI initiatives, driving collaborative efforts in data-driven materials engineering.

• Computational Materials Science
• Photovoltaics
• Solid State Physics
• +3 more

Pascal Henkel is a Postdoctoral Researcher (Research Fellow) in the Department of Applied Physics at Aalto University, Finland, actively contributing to the Computational Electronic Structure Theory research group. His work bridges theoretical physics and materials engineering for sustainable energy solutions. His research focuses on computational modeling of energy materials, particularly photovoltaic chalcohalides and solid-state electrolytes for batteries. Using density functional theory and molecular dynamics simulations, he investigates electronic structures, ionic transport mechanisms, and surface chemistry phenomena. Key areas include halogen bonding dynamics on metal surfaces, defect-mediated ion diffusion in battery materials, and computational screening of novel photovoltaic compounds with optimized bandgaps and stability. Analysis of his publication trends reveals consistent emphasis on renewable energy materials, with recent work advancing quaternary mixed-metal chalcohalide design rules and magnesium ion conduction mechanisms. His studies integrate fundamental surface science with practical energy storage challenges, demonstrating strong methodological expertise in first-principles calculations and materials informatics. Dr. Henkel collaborates within Aalto University's Computational Electronic Structure Theory group, which specializes in predictive modeling of electronic properties for next-generation energy materials through high-performance computing and interdisciplinary partnerships.

• Materials Science
• Photoelectrochemistry
• Photocatalysis
• +3 more

Aadesh Singh is a Researcher in the Research Services division at Aalto University, focusing on advanced materials science and renewable energy technologies. He holds a Doctoral degree in Natural Sciences from Dayalbagh Educational Institute (2010) and a Master's degree in the same field (2004). His work contributes to UN Sustainable Development Goals related to clean energy and sustainable innovation. Key research areas include photocatalytic materials, thin film engineering, and semiconductor heterostructures for solar energy conversion. Collaborations span international institutions, with a focus on optimizing photoelectrochemical systems and improving water oxidation performance. Singh has supervised one thesis and authored over 20 peer-reviewed publications, with notable contributions to core-shell heterostructures and hydrogen evolution reactions. His research emphasizes interdisciplinary approaches to address global energy challenges.

Torbjörn BjörkmanView profile

Associate Professor

• Rare-earth Permanent Magnets
• Magnetocaloric Effect
• Magnetic Cooling
• +4 more

Torbjörn Björkman is an Associate Professor at the Faculty of Natural Sciences and Engineering , Åbo Akademi University , focusing on Physics and Technologies for a sustainable future . With 43 publications (2006-2024), his work aligns with the UN’s Sustainable Development Goals (SDGs), particularly in sustainable materials and energy technologies. Expertise: Rare-earth Permanent Magnets , Giant Magnetocaloric Effect , Theoretical Methods , Magnetic Cooling , Microscopic Mechanisms , Orthorhombic Phases , Degrees of Freedom His research trends involve Density Functional Theory , First-principles Calculations , and Two-dimensional Materials , with recent work on Pressure-induced Stacking Faults (2024), Magnetocaloric Modeling (2024), and High-throughput Data Mining (2020). He has served as a peer reviewer for journals like Nano Letters , Physical Review Letters , and Cambridge University Press since 2017.

• Quantum Materials
• Condensed Matter Physics
• Moiré Physics
• +3 more

Adolfo Otero Fumega serves as an Academy Postdoctoral Researcher in the Department of Applied Physics at Aalto University, Finland, and is an active member of the Correlated Quantum Materials (CQM) research group. His work bridges theoretical modeling and computational analysis to explore emergent quantum phenomena in low-dimensional systems. His research centers on quantum materials, with emphasis on magnetic order, superconductivity, and electronic correlations in 2D materials and moiré superlattices. Key interests include spin-1/2 systems, charge density waves, and topological states in van der Waals heterostructures, aiming to decode fundamental mechanisms for next-generation quantum technologies. The CQM group employs advanced computational frameworks to simulate atomic-scale behavior in novel materials. Publications from 2024-2025 reveal a cohesive focus on atomic-scale quantum phenomena, particularly in monolayer and twisted bilayer systems. Dominant themes include magneto-orbital coupling in VCl 3 , frustration-induced degeneracy in molecular rings, and electric-field manipulation of skyrmions in NiI 2 . His collaborative approach integrates theoretical predictions with experimental validation through partnerships with scanning probe microscopy and materials synthesis teams. Scientific Awards: No awards were documented in the source material. Advising and Grants: No information regarding student mentorship or research funding was provided. Labs and Teams: Dr. Otero Fumega contributes to the Correlated Quantum Materials group, which specializes in computational investigations of quantum phases using kernel polynomial methods, tensor networks, and first-principles simulations to model correlated electron behavior in engineered nanostructures.

• Condensed-Matter Physics
• Materials Science
• Computational Physics
• +3 more

Risto Nieminen is a Visiting Professor at the Department of Applied Physics , Aalto University, specializing in condensed-matter and materials physics. His research focuses on computational modeling of quantum systems, electron tunneling, and nanoscale material properties. Research Interests: His work spans computational physics, materials science, and nanotechnology, with emphasis on electron tunnel barriers, magnetic alloy stability, and optical properties of 2D materials like MoS2. He applies advanced simulation techniques to study atomic-scale phenomena. Scientific Awards: APS Fellowship (American Physical Society, USA) Yliopistotiedottajien palkinto (1996) Vuoden Professori (2002, 2003) Outstanding Referee (2008) Inductee in European Academy of Sciences

• Materials Science
• Computational Physics
• Radiation Damage
• +5 more

Ali Hamedani is a Postdoctoral Researcher focusing on computational materials science and radiation damage analysis. He has contributed to multidisciplinary projects involving machine learning interatomic potentials and multiscale modeling of radiation-induced defects. Department of Applied Physics Nuclear Materials and Engineering His research spans Materials Science , Computational Physics , and Nuclear Engineering , with applications in: Radiation damage in semiconductors and ceramics Machine learning-driven molecular dynamics High-pressure material behavior Perovskite solar cell optimization Recent work highlights trends in silicon defect analysis , ZrC/ ZrN ceramics , and multi-objective optimization of energy materials. Publications emphasize cross-disciplinary approaches combining first-principles calculations with machine learning .

Bernardo BarbielliniView profile

Professor

• Computational Materials Science
• Condensed Matter Physics
• Spectroscopy
• +3 more

Bernardo Barbiellini is a tenured Professor of Computational Materials Science at the LUT School of Engineering Sciences in Lappeenranta, Finland. He holds a PhD in Physics from the University of Geneva (1991). Research Focus : Computational modeling of quantum mechanical properties in materials, including high-temperature superconductors, battery materials, and nanostructures Key Techniques : Compton scattering, positron annihilation spectroscopy, Stochastic Gradient Approximation (SGA) for Quantum Monte Carlo simulations Recent Work Trends span excited-state physics in complex materials using synchrotron radiation, with emphasis on battery cathodes and transition metal oxides. His collaborative Network includes Arun Bansil (Northeastern University), Dirk Lamoen (University of Antwerp), and experimentalists like Rafael Ferragut (Politecnico di Milano).

• Nanotechnology
• Condensed Matter Physics
• Materials Science
• +5 more

Orlando Silveira Júnior is a Visiting Professor in the Department of Applied Physics at Aalto University's School of Science, specializing in nanoscale surface phenomena and quantum materials research. His work focuses on atomic-scale manipulation and characterization of 2D materials using advanced scanning probe microscopy techniques. His research interests include: Nanotechnology and 2D materials engineering Condensed matter physics with emphasis on quantum phenomena Surface science and molecular interfaces Scanning tunneling microscopy applications Spintronics and quantum computing materials Antiferromagnetic and superconducting systems Dr. Silveira Júnior's publication record demonstrates consistent research productivity from 2020-2025, with increasing output reflecting growing expertise in the field. His work bridges experimental surface science with theoretical modeling, often employing density functional theory calculations to interpret experimental findings. Recent publications focus on atomic-scale interfaces in 2D heterostructures, molecular quantum systems, and spin phenomena in low-dimensional materials. His scientific contributions have gained recognition through citations and social media engagement, with several publications featured in news outlets and academic networks. The research shows strong international collaboration patterns across multiple countries and institutions. As an active researcher, Dr. Silveira Júnior contributes to advancing fundamental understanding of nanoscale phenomena while developing novel materials systems with potential applications in quantum computing and next-generation electronics. His laboratory work likely involves state-of-the-art surface characterization equipment and computational modeling resources.

Mikko HakalaView profile

Researcher

• Materials Science
• Computational Physics
• Surface Physics
• +3 more

Mikko Hakala is a Researcher at the School of Science, Aalto University. His expertise lies in materials science and computational physics, focusing on surface physics, electronic transport, and first-principles modeling. He holds a Master's degree from Helsinki University of Technology (2004) and a Doctoral Thesis from Aalto University (2013). Research interests include the study of metal adatoms on surfaces, interfacial oxide growth in silicon-based materials, and numerical methods for electron transport in nanostructures. His work integrates theoretical modeling with experimental insights, contributing to semiconductor device applications and nanotechnology. Notable contributions include studies on silicon-hafnia interfaces and alkali halide surface dynamics. He has organized workshops such as 'Scientific Computing in Practice' (2017) and presented at international conferences like the International Supercomputing Conference (2011). Awarded a project grant as Principal Investigator for CodeRefinery/Darst (2021), his collaborative efforts span computational materials science and interdisciplinary research. No scientific awards are explicitly listed in the provided information.