Our focus is on accelerating scientific and technological advancements to achieve groundbreaking results in the realm of solar electricity.
Our mission is fourfold: first, to provide cheap and green solar electricity in a sustainable manner. Second, we aim to make this accessible in any market. Third, we strive to implement these solutions on a large scale. Lastly, our ultimate goal is to achieve maximum performance in solar energy conversion.
To achieve this, we are committed to tailoring materials and processes based on a scientific foundation of a multi-parameter and multi-objective optimization strategy. One of the key elements driving our innovation is the development of a digital twin.
With these approaches, we are ushering in a new era of solar energy technology that is efficient, eco-friendly, and adaptable.
Latest Publications:
Automated Laboratories for Emerging Photovoltaics: Insights from Our Latest Publication
Toward Self-Driven Autonomous Material and Device Acceleration Platforms (AMADAP) for Emerging Photovoltaics Technologies
Accelerating Photostability Evaluation of Perovskite Films through Intelligent Spectral Learning-Based Early Diagnosis
Beyond the Panels: AI’s Role in Prolonging Solar Lifespans and Ensuring Reliability
Exploring Digital Twin Applications in Accelerating PV Material Research
A Digital Twin to Overcome Long-time Challenges in Photovoltaics
Video on Teaming-up across Disciplines @FAU Solar: A Dive into Photovoltaic Data Analysis
The contribution of AI in Solar Energy – Teamwork for Solar Power
Optimizing Perovskite Thin-Film Parameter Spaces with Machine Learning-Guided Robotic Platform for High-Performance Perovskite Solar Cells
A Positive Semidefinite Safe Approximation of Multivariate Distributionally Robust Constraints Determined by Simple Functions
A Safe Approximation Based on Mixed-Integer Optimization for Non-Convex Distributional Robustness Governed by Univariate Indicator Functions
ECME 2023: A Gathering of Minds in Molecular Electronics
Elevating PV Inspection with Aerial Photoluminescence Imaging (PLAI)
Revolutionizing Solar: Autonomous 4D Optimization of Organic Solar Cells
A Digital Twin to overcome long-time challenges in Photovoltaics
Prof. Dr. Frauke Liers
Department of Data Science (DDS)
Professorship of Optimization under Uncertainty & Data Analysis (Prof. Dr. Liers)
- Phone number: +49 9131 85-67151
- Email: frauke.liers@fau.de
Prof. Dr. Ana-Suncana Smith
Institute of Theoretical Physics
Professur für Theoretische Physik (Prof. Dr. Smith)
- Phone number: +49 9131 85-70565
- Email: smith@physik.uni-erlangen.de
Prof. Dr. Björn Eskofier
Exzellenzinitiative
SAOT - Erlangen Graduate School in Advanced Optical Technologies
- Phone number: +49 9131 85-27297
- Email: bjoern.eskofier@fau.de
Dr. rer. nat. Larry Lüer
Department of Materials Science and Engineering
Chair of Materials for Electronics and Energy Technology
- Phone number: +49 9131 85-27472
- Email: larry.lueer@fau.de