Challenges in Heterogeneous Catalyst Development - Advancements in High Throughput Simulation, Experiments, and Machine Learning

Explore the challenges and advancements in heterogeneous catalyst development through this webinar from the ICTP Condensed Matter and Statistical Physics Atomistic Simulation Seminar Series. Delve into the integration of Machine Learning-accelerated Quantum Mechanical modeling and high throughput experimental insights shaping industrial catalyst design. Learn about recent research topics such as carbon reutilization and bio-feedstock conversion, and gain a grounded understanding of practical applications in this multidisciplinary field. Presented by Sandip De, Global Scientific Discipline Lead for Inorganic Materials modelling QM at BASF, this 65-minute session offers valuable insights for young scientists interested in the crucial role of efficient catalysts in energy-efficient chemical transformations and environmental sustainability.