معرفی
Dr. Johannes Schilling is a Researcher affiliated with the Professorship for Energy and Process Systems Engineering at ETH Zürich. He holds a PhD in Mechanical Engineering from RWTH Aachen University (2020), where he focused on integrated thermo-economic design of processes and molecules. Since 2020, he has led research teams in molecular design, carbon capture, and AI-driven thermodynamic property prediction at ETH Zürich under Prof. André Bardow. His work emphasizes bridging academia and industry through innovations like the PrISMa platform for sorbent-based carbon capture screening.
Education:
- Bachelor's/Master's in Mechanical Engineering (2009–2014), RWTH Aachen University
- PhD in Technical Thermodynamics (2015–2020), RWTH Aachen University
- Postdoc (2020–present), ETH Zürich
Research Interests:
- AI-driven prediction of physical properties (e.g., SMILES-based models)
- Carbon capture, utilization, and storage (CCUS)
- Integrated design of molecules and processes
- Life cycle assessment (LCA) for sustainable chemical systems
Grants & Recognition:
- NCCR Turbo Grant (2023) for AI-driven chemical property prediction
Key Projects: Leader of the PrISMa platform for holistic carbon capture material screening and co-developer of the SPT-PC-SAFT model for thermodynamic property prediction. His work spans AI integration into traditional thermodynamics and sustainable process design.
Labs/Teams: Heads research teams focused on molecular design, carbon technologies, and high-throughput material screening at ETH Zürich's Energy and Process Systems Engineering Group.
