2025 Spring Meeting and 21st Global Congress on Process Safety April 6-10, 2025 Hilton Anatole, Dallas, TX
2025 AIChE Annual Meeting November 2-6, 2025 John B. Hynes Veterans Memorial Convention Center, Marriott Copley Place, Sheraton Back Bay | Boston, MA
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Alexei A. Lapkin Citation name Lapkin, A. A. Affiliation University of Cambridge Country United Kingdom Authored(645a) Hybrid Synthetic Chemistry - Synthetic Biology Reaction Network for Reaction Routes OptimizationChonghuan ZhangAlexei A. Lapkin2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(27g) An Adaptive Learning Data Driven Method Based on Molecular Descriptors for Solvent Selection of Mitsunobu EsterificationChonghuan ZhangLiwei CaoYehia AmarAlexei A. Lapkin2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(474f) Economically Viable CO2 Electroreduction: Retrofit Technology for Chemical ManufacturingMagda BareckaJoel W. AgerAlexei A. Lapkin2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(650c) Life Cycle Assessment of a Flow Synthesis of Paracetamol from Bio-Waste Feedstock ?-PineneSabine HallamasekVera UbbenjansAlexei A. Lapkin2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(659d) Digitalization and Optimization Boost Decarbonization: Accelerating Net Zero from the Perspective of Carbon Capture and UtilizationAlexei A. LapkinZhimian HaoMagda Barecka2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(123d) Separation of diluted ethanol produced by CO2 electrolysis can be cost effectiveMagda BareckaJoel W. AgerAlexei A. Lapkin2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(652g) Automated pH Adjustment Driven By Robotic Workflows and Active Machine LearningAlexander PombergerAlexei A. LapkinNicholas JoseDavid Walz2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(361b) Automated, Hybrid Model-Driven pH Adjustment of Viscous Liquid FormulationsAniket ChitreJayce ChengKedar HippalgaonkarAlexei A. Lapkin2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(508b) Quantitative in silico Prediction of the Rate of Protodeboronation By a Mechanistic Density Functional Theory-Aided AlgorithmAlexei A. LapkinDaniel WighMatthieu TissotPatrick PasauJonathan Goodman2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(521ef) Micro-Kinetics Analysis Based on Partial Reaction Networks to Compare Catalysts Performances for Methane Dry Reforming ReactionShambhawi ShambhawiJana WeberAlexei A. Lapkin2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(197aw) ML-SAFT: A Machine Learning Framework for PCP-SAFT Parameter PredictionAlexei A. LapkinKobi FeltonLukas Raßpe-LangeJan RittigKai LeonhardAlexander MitsosJulian Meyer-KirschnerCarsten Knoesche2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(701e) An Autonomous Microreactor Platform for the Rapid Identification of Kinetic Models for Fast Liquid/Liquid ReactionsAnna KatsarouArun PankajakshanJonathan LefebvreJulia HofingerAlexei A. LapkinFederico Galvanin2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(420c) An Autonomous Microreactor Platform for the Optimisation of Kinetic Parameters for Fast Liquid/Liquid ReactionsAnna KatsarouArun PankajakshanJonathan LefebvreJulia HofingerFederico GalvaninAlexei A. Lapkin2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)Automated Model Generation and Calibration Workflow for Pharmaceutical Processes Using Knowledge GraphsJiyizhe ZhangAlexei A. Lapkin2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(361g) From Platform to Knowledge Graph: Distributed Self-Driving LaboratoriesJiaru BaiSebastian MosbachConnor TaylorDogancan KaranKok Foong LeeSimon RihmAlexei A. LapkinMarkus KraftJethro Akroyd2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(384b) Extreme Isotope Discrimination Effect Associated with Electrochemical Carbon CaptureMagda BareckaMikhail KovalevMarsha Zakir MuhamadHangjuan RenJoel W. AgerAlexei A. Lapkin2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(344g) Multi-Objective Bayesian Optimisation for Sustainable Reaction DevelopmentJiyizhe ZhangAlexei A. Lapkin2024 AIChE Annual Meeting (673d) Multi-Objective Bayesian Optimisation for Sustainable Reactions DevelopmentJiyizhe ZhangAlexei A. Lapkin2024 AIChE Annual Meeting (12d) Thermodynamics-Informed Graph Neural Networks for Predicting Molecular and Mixture PropertiesJan G. RittigKobi FeltonAlexei A. LapkinAlexander Mitsos2024 AIChE Annual Meeting Associated proceedings 2021 Annual Meeting 2022 Annual Meeting 2023 AIChE Annual Meeting 2024 AIChE Annual Meeting
