Deterministic global flowsheet optimization: Between equation‐oriented and sequential‐modular methods - Bongartz - 2019 - AIChE Journal - Wiley Online Library

Algebraic surrogate‐based process optimization using Bayesian symbolic learning - Forster - 2023 - AIChE Journal - Wiley Online Library

Simultaneous design and operational optimization for flexible carbon capture process using ionic liquids - ScienceDirect

Simultaneous Utility and Heat Exchanger Area Targeting for Integrated Process Synthesis and Heat Integration

Simultaneous design and operational optimization for flexible carbon capture process using ionic liquids - ScienceDirect

Simultaneous Optimization and Heat Integration of an Aromatics Complex with a Surrogate Model

Algebraic surrogate‐based process optimization using Bayesian symbolic learning - Forster - 2023 - AIChE Journal - Wiley Online Library

Simultaneous design and operational optimization for flexible carbon capture process using ionic liquids - ScienceDirect

Data‐driven approximation of thermodynamic phase equilibria - Iftakher - 2022 - AIChE Journal - Wiley Online Library

Bayesian Symbolic Learning to Build Analytical Correlations from Rigorous Process Simulations: Application to CO2 Capture Technologies

Towards optimal mixtures of working fluids: Integrated design of processes and mixtures for Organic Rankine Cycles - ScienceDirect

Optimal Process Operations in Fast-Changing Electricity Markets: Framework for Scheduling with Low-Order Dynamic Models and an Air Separation Application

Frontiers A feasible path-based branch and bound algorithm for strongly nonconvex MINLP problems

Optimal Process Operations in Fast-Changing Electricity Markets: Framework for Scheduling with Low-Order Dynamic Models and an Air Separation Application

Deterministic global flowsheet optimization: Between equation‐oriented and sequential‐modular methods - Bongartz - 2019 - AIChE Journal - Wiley Online Library