Johannes, Schilling,

Johannes, Schilling, is a prominent academic figure at ETH Zurich, where they contribute to the Chemical Engineering through intensive research in thermodynamics, process optimization, molecular design, computer-aided engineering, phase equilibria, adsorption prediction, working fluid design. A representative example of their recent contribution is the study titled "A holistic platform for accelerating sorbent-based carbon capture", which offers critical insights into the dynamics of thermodynamics and process optimization. Additional work such as "SPT-NRTL: A physics-guided machine learning model to predict thermodynamically consistent activity coefficients" further demonstrates their commitment to advancing knowledge in this domain.