Alessio Gagliardi | Machine learning, Photovoltaics | Best Researcher Award 

Published on by AMO Physics

Prof. Alessio Gagliardi | Machine learning, Photovoltaics | Best Researcher Award 

Associate Professor at Technical University Munich, Germany

Prof. Alessio Gagliardi is an Associate Professor at the Technical University of Munich (TUM), where his research focuses on the development and application of numerical models for simulating nanostructured devices. His work spans multiple scales, from atomistic to continuum, and addresses next-generation solar cells (organic semiconductor, dye-sensitized, and perovskite solar cells), electrochemical systems (fuel cells, batteries), and advanced organic semiconductor materials. He integrates nanoscale methods such as Density Functional Theory (DFT) and Quantum Green Functions with mesoscale approaches like Kinetic Monte Carlo and macroscopic drift–diffusion/continuum models, thereby providing a complete multiscale framework for device simulation. He is also a key developer of TiberCAD and gDFTB software, widely used for device modeling. In recent years, his research has strongly expanded toward machine learning and deep learning in material science, particularly for accelerating multiscale simulations, structure-to-property prediction, and bridging experimental results with theoretical models. Prof. Gagliardi obtained his B.Sc. (1997–2000, cum laude) and M.Sc. (2000–2003, cum laude) in Telecommunication Engineering from the University of Rome “Tor Vergata,” followed by a Ph.D. in Physics (2004–2007) at Paderborn University, Germany, under the supervision of Prof. Thomas Frauenheim, focusing on theoretical modeling and simulation of electron–phonon scattering processes in molecular electronic devices. He continued with postdoctoral research at Bremen University (2007–2008) and later at the University of Rome “Tor Vergata” (2008–2014), working with Prof. Aldo Di Carlo on the simulation of organic and dye-sensitized solar cells. In 2014 he joined TUM as a Tenure-Track Assistant Professor, and since 2020 he has been serving as Associate Professor. He is a founder and board member (2024–present) of the Atomistic Modeling Center (TUM), and a core member of the Munich Data Science Institute (MDSI) and the Munich Institute for Integrated Materials, Energy and Process Engineering (MEP). He has been actively involved in the Nanoelectronic Institute (TUM) since 2014 and contributes to the TUM-Asia program with Singapore Institute of Technology (SIT) and Nanyang Technological University (NTU). Prof. Gagliardi has presented at nearly 70 international conferences, with 26 invited talks, and was nominated for the ENI Energy Frontiers Award (2024). His supervision record at TUM includes around 100 MSc/BSc theses, 7 completed PhD dissertations, 2 postdoctoral fellows, and currently 9 PhD students and 1 PostDoc. He has authored over 160 peer-reviewed publications, which have collectively received more than 7,500 citations, with an h-index of 43. His academic distinction also includes membership in the Cluster of Excellence Nanosystems Initiative Munich. His research continues to advance the frontiers of nanostructured device modeling, combining physics-based numerical simulations with data-driven machine learning approaches to enable predictive design of energy materials and electronic systems.

Profiles: Orcid|Google Scholar

Featured Publications 

Dye-sensitized solar cells under ambient light powering machine learning: towards autonomous smart sensors for the internet of things

Tuning halide perovskite energy levels

Resonant Electron Heating and Molecular Phonon Cooling in Single  Junctions

Optimizing the size of platinum nanoparticles for enhanced mass activity in the electrochemical oxygen reduction reaction

Incoherent Electron− Phonon Scattering in Octanethiols

Understanding the inelastic electron-tunneling spectra of alkanedithiols on gold

A priori method for propensity rules for inelastic electron tunneling spectroscopy of single-molecule conduction

Junliang Yang – Thin-film solar cells – Best Researcher Award

Published on by AMO Physics

Prof. Dr. Junliang Yang - Thin-film Solar Cells - Best Researcher Award

Central south university - China

Author Profile

Scopus

🎓 Early Academic Pursuits

Prof. Dr. Junliang Yang began his academic journey with a strong focus on applied physics and materials science, showcasing exceptional talent in advanced material applications. His formative years were dedicated to mastering the fundamentals of thin-film solar cells, flexible electronics, and optoelectronics, which laid a solid foundation for his future breakthroughs in printed electronics and energy devices.

💼 Professional Endeavors

Dr. Yang’s professional career is characterized by leadership in research and innovation. As a distinguished professor, he has led numerous groundbreaking projects in thin-film solar cells, particularly focusing on perovskite and organic thin-film technologies. His professional roles include serving on prestigious editorial boards, national committees, and international organizations, reflecting his expertise and influence in the field.

🔬 Contributions and Research Focus

Dr. Yang has made transformative contributions to the fields of flexible printed electronics, thin-film solar cells, and new energy devices. His research encompasses the development of high-efficiency perovskite solar cells, advanced photodetectors, supercapacitors, and integrated wearable electronics. A notable achievement is his paper in Energy & Environmental Science (2024), where he demonstrated a 25.54% efficiency in triple-cation perovskite solar cells through stress regulation techniques.

🌍 Impact and Influence

With over 12,000 citations and an H-index of 61, Dr. Yang's work is highly influential in advancing sustainable energy solutions and electronics innovation. He is recognized as a fellow of the Royal Society of Chemistry and a National-level leading talent. His contributions have significantly impacted global standards and practices in thin-film solar cells and printed electronics.

🏆Academic Cites

Dr. Yang’s extensive publication record includes more than 310 SCI papers, with over 190 as the first or corresponding author in top-tier journals such as Chemical Reviews, Advanced Materials, and Nano Letters. His scholarly impact, with over 12,000 SCI citations, underscores his pivotal role in shaping modern advancements in energy materials and flexible electronics.

🌟 Legacy and Future Contributions

Prof. Yang’s legacy is defined by his pioneering work in thin-film solar cells and his leadership in printed electronics. His patents (36 applied, 22 authorized) and technology transfers have fostered innovation, while his role in incubating high-tech enterprises demonstrates his commitment to practical applications. Looking forward, Dr. Yang aims to expand the capabilities of renewable energy technologies and wearable electronics, ensuring his work continues to drive progress in sustainability and advanced materials.

🏆Awards and Recognition

Selected among the "Top 100,000 Scientists in the World" for four consecutive years (2021–2023) and the top 2% of scientists globally for five years (2020–2024), Dr. Yang’s accolades highlight his extraordinary achievements and global standing in the scientific community.

📝Thin-film Solar Cells

Dr. Yang’s dedication to advancing thin-film solar cells has resulted in groundbreaking research and innovations. His work on high-efficiency thin-film solar cells through surface micro-etching techniques has set new efficiency records and enhanced global understanding of sustainable energy solutions.

Notable Publication

📝Constructing Ultra-High Current Direct-Current Tribo-Photovoltaic Nanogenerators via Cu/Perovskite Schottky Junction

Authors: Luo, Y., Ding, Y., Liu, Y., Dai, G., Yang, J.

Journal: ACS Nano

Year: 2024

Citations: 0

📝Regulation of Zero-Dimensional Metal Halides by Ions with ns² Lone-Pair Electronic Structure Derived from ns²np² Neutral Atoms

Authors: Luo, J., Luo, Z.-M., Liu, B., Yang, J.-L., Cai, M.-Q.

Journal: Physical Review Applied

Year: 2024

Citations: 0

📝Revisiting the Heterostructure and Electric-Field-Modulation Characteristics of the Ruddlesden-Popper Perovskite Cs₂Pb(SCN)₂Br₂ with Low Exciton-Binding Energy

Authors: Chen, Y.-L., Luo, J., Liu, B., Yu, H.-L., Cai, M.-Q.

Journal: Physical Review Applied

Year: 2024

Citations: 0

📝Grain Boundary Cracks Patching and Defect Dual Passivation with Ammonium Formate for High-Efficiency Triple-Cation Perovskite Solar Cells

Authors: Ding, Y., Wu, Y., Feng, X., Gao, Y., Yang, J.

Journal: Communications Materials

Year: 2024

Citations: 0

📝Bioinspired Tilted Magnetized Flakes as a Self-Powered and Antislip Smart Outsole for Healthcare Monitoring and Human-Machine Interaction

Authors: Zhou, Q., Yue, J., Fang, D., Ji, B., Yang, J.

Journal: ACS Applied Materials and Interfaces

Year: 2024

Citations: 0

📝Nitrogen-Doped Carbon Quantum Dot-Decorated In₂O₃ Synaptic Transistors for Neuromorphic Computing

Authors: Zahid, M., Sadiq, M.I., Jin, C., Yang, J., Sun, J.

Journal: Applied Physics Letters

Year: 2024

Citations: 0