Mikael Yamanee-Nolin (Former)
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- 2022
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Mark
A novel process design for automated quality analysis in an integrated biopharmaceutical platform
(
- Chapter in Book/Report/Conference proceeding › Book chapter
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Mark
Deep Learning for Modelling of Urban Drainage Networks: A Physics-informed Surrogate Model Using Measured and Simulated Data
2022) IWA World Water Congress and Exhibition, 2022(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
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Mark
Optimal loading flow rate trajectory in monoclonal antibody capture chromatography
(
- Contribution to journal › Article
- 2020
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Mark
Computer-aided optimization of complex processes in production systems and urban environments
2020)(
- Thesis › Doctoral thesis (compilation)
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Mark
Trajectory optimization of an oscillating industrial two-stage evaporator utilizing a Python-Aspen Plus Dynamics toolchain
(
- Contribution to journal › Article
- 2019
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Mark
Optimization of integrated chromatography sequences for purification of biopharmaceuticals
(
- Contribution to journal › Article
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Mark
A physically based model for mesoscale SuDS–an alternative to large-scale urban drainage simulations
(
- Contribution to journal › Article
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Mark
Single-shooting optimization of an industrial process through co-simulation of a modularized Aspen Plus Dynamics model
2019) 29th European Symposium on Computer Aided Process Engineering In Computer Aided Chemical Engineering 46. p.721-726(
- Chapter in Book/Report/Conference proceeding › Book chapter
-
Mark
Hydroeconomic optimization of mesoscale blue-green stormwater systems at the city level
(
- Contribution to journal › Article
- 2018
-
Mark
Multi-flowrate Optimization of the Loading Phase of a Preparative Chromatographic Separation
(
- Chapter in Book/Report/Conference proceeding › Book chapter