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Fabrice Schlegel
Fabrice Schlegel
Amgen, MIT
Verified email at alum.mit.edu
Title
Cited by
Cited by
Year
Multi-column displacement chromatography for separation of charge variants of monoclonal antibodies
O Khanal, V Kumar, K Westerberg, F Schlegel, AM Lenhoff
Journal of Chromatography A 1586, 40-51, 2019
542019
Contributions of the wall boundary layer to the formation of the counter-rotating vortex pair in transverse jets
F Schlegel, D Wee, YM Marzouk, AF Ghoniem
Journal of fluid mechanics 676, 461-490, 2011
362011
Robust mechanistic modeling of protein ion-exchange chromatography
V Kumar, S Leweke, W Heymann, E von Lieres, F Schlegel, K Westerberg, ...
Journal of Chromatography A 1660, 462669, 2021
302021
Toward in silico CMC: An industrial collaborative approach to model‐based process development
D Roush, D Asthagiri, DK Babi, S Benner, C Bilodeau, G Carta, P Ernst, ...
Biotechnology and bioengineering 117 (12), 3986-4000, 2020
302020
Estimating and leveraging protein diffusion on ion-exchange resin surfaces
O Khanal, V Kumar, F Schlegel, AM Lenhoff
Proceedings of the National Academy of Sciences 117 (13), 7004-7010, 2020
212020
Y.. MM Arzouk and AF Ghoniem,"
F Schlegel, D Wee
Contributions of the wall boundary layer to the formation of the counter …, 2011
212011
Simulation of a high Reynolds number reactive transverse jet and the formation of a triple flame
F Schlegel, AF Ghoniem
Combustion and Flame 161 (4), 971–986, 2013
192013
A fast 3D particle method for the simulation of buoyant flow
F Schlegel, D Wee, AF Ghoniem
Journal of Computational Physics 227 (21), 9063-9090, 2008
172008
Advanced score system and automated search strategies for parameter estimation in mechanistic chromatography modeling
W Heymann, J Glaser, F Schlegel, W Johnson, P Rolandi, E von Lieres
Journal of Chromatography A 1661, 462693, 2022
142022
Convergence characteristics and computational cost of two algebraic kernels in vortex methods with a tree-code algorithm
D Wee, YM Marzouk, F Schlegel, AF Ghoniem
SIAM Journal on Scientific Computing 31 (4), 2510-2527, 2009
72009
Advanced error modeling and Bayesian uncertainty quantification in mechanistic liquid chromatography modeling
W Heymann, J Glaser, F Schlegel, W Johnson, P Rolandi, E Von Lieres
Journal of Chromatography A 1708, 464329, 2023
22023
COSMIC-dFBA: A novel multi-scale hybrid framework for bioprocess modeling
S Gopalakrishnan, W Johnson, MA Valderrama-Gomez, E Icten, J Tat, ...
Metabolic Engineering, 2024
12024
Multi-omic characterization of antibody-producing CHO cell lines elucidates metabolic reprogramming and nutrient uptake bottlenecks
S Gopalakrishnan, W Johnson, MAV Gomez, E Icten, J Tat, F Lay, J Diep, ...
bioRxiv, 2023.09. 13.557626, 2023
12023
Predicting Shelf Life Stability of Lyophilized Drug Products
RC Kelly, M Chaves, MA Caporini, F Schlegel
US Patent App. 18/025,311, 2024
2024
CFD Simulation of Impulse Mixers
I Mirzaee, J Wutz, J Thomas, M Ahmadi, SJ Kang, S Golshan, F Schlegel, ...
2023 AIChE Annual Meeting, 2023
2023
Monitoring Vial Conditions During a Lyophilization Process
CJ Garvin, F Schlegel, G Scalzo, C Bambury, D Bac, C Ruitberg
US Patent App. 17/924,925, 2023
2023
An Industrial in silico Modeling Platform for Reliable, Efficient, and Agile Process & Product Development
F Schlegel, PA Rolandi, I Mirzaee, M Maritato, S Seifi, ...
2022 AIChE Annual Meeting, 2022
2022
Multi-Scale Modeling of a CHO Production Process Using Integrated Machine Learning Models and Genome-Scale Metabolic Models
S Gopalakrishnan, J Tat, MA Valderrama-Gomez, F Schlegel, PA Rolandi, ...
2022 AIChE Annual Meeting, 2022
2022
Predicting Antibody Titer Using Multi-Scale Dynamic Flux Balance Analysis Bioreactor Models
S Gopalakrishnan, J Tat, MA Valderrama-Gomez, F Schlegel, W Johnson, ...
2022 AIChE Annual Meeting, 2022
2022
In silico Modeling of Roller Compaction Processes for Scale-up and Tech Transfer: One Step Closer to Digital Twins
EI Gencer, D Shen, D Nguyen, D Perez-Aguilar, MH Rad, S Gour, ...
2022 AIChE Annual Meeting, 2022
2022
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