Alexei Lapkin

Latest

• Multi-objective Bayesian optimisation of a two-step synthesis of p-cymene from crude sulphate turpentine
• Pushing nanomaterials up to the kilogram scale – An accelerated approach for synthesizing antimicrobial ZnO with high shear reactors, machine learning and high-throughput analysis
• Efficient hybrid multiobjective optimization of pressure swing adsorption
• Chemical data intelligence for sustainable chemistry
• Modelling circular structures in reaction networks: Petri nets and reaction network flux analysis
• Automated self-optimisation of multi-step reaction and separation processes using machine learning
• Machine learning and molecular descriptors enable rational solvent selection in asymmetric catalysis
• Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives
• Correction to: Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm
• Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm
• The concept of selectivity control by simultaneous distribution of the oxygen feed and wall temperature in a microstructured reactor
• A multiobjective optimization including results of life cycle assessment in developing biorenewables-based processes