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Biochemical and Biomolecular Engineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
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- Kernel Learning & Support Vector Machine (3)
- Recursive Identification & Estimation (3)
- Nonlinear Process Modeling & Identification (2)
- 2-methylfuran (1)
- 2MF (1)
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- ABS resins (1)
- Batch/Fed-batch Processes (1)
- Bi-functional catalysts (1)
- Biomaterials (1)
- Biomedical materials (1)
- Butanal (1)
- Chemical Engineering (1)
- Chemical reactions (1)
- Foreign-body responses (1)
- Free radical polymerization (1)
- Heterogeneous catalysts (1)
- Long-chain hydrocarbons (1)
- MCM-41 (1)
- Microemulsion polymerization (1)
- Microemulsions (1)
- Neutron scattering (1)
- Nonlinear Predictive & Adaptive Control (1)
- Poly (beta-amino alcohol) (1)
- Polymer coatings (1)
- Polymerization (1)
- Rate constants (1)
- Rate retardation (1)
- Reversible addition-fragmentation chain transfer (1)
- Solid acid (1)
- Transition metal (1)
- Publication
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Articles 1 - 6 of 6
Full-Text Articles in Biochemical and Biomolecular Engineering
One-Step Production Of Long-Chain Hydrocarbons From Waste-Biomass-Derived Chemicals Using Bi-Functional Heterogeneous Catalysts, Cun Wen, Elizabeth Barrow, Jason Hattrick-Simpers, Jochen Lauterbach
One-Step Production Of Long-Chain Hydrocarbons From Waste-Biomass-Derived Chemicals Using Bi-Functional Heterogeneous Catalysts, Cun Wen, Elizabeth Barrow, Jason Hattrick-Simpers, Jochen Lauterbach
Jason R. Hattrick-Simpers
n this study, we demonstrate the production of long-chain hydrocarbons (C8+) from 2-methylfuran (2MF) and butanal in a single step reactive process by utilizing a bi-functional catalyst with both acid and metallic sites. Our approach utilizes a solid acid for the hydroalkylation function and as a support as well as a transition metal as hydrodeoxygenation catalyst. A series of solid acids was screened, among which MCM-41 demonstrated the best combination of activity and stability. Platinum nanoparticles were then incorporated into the MCM-41. The Pt/MCM-41 catalyst showed 96% yield for C8+ hydrocarbons and the catalytic performance was stable over four reaction …
Development Of Cationic Polymer Coatings To Regulate Foreign-Body Responses, Minglin Ma, Wendy F. Liu, Paulina S. Hill, Kaitlin M. Bratlie, Daniel J. Siegwart, Justin Chin, Miri Park, Joao Guerreiro, Daniel G. Anderson
Development Of Cationic Polymer Coatings To Regulate Foreign-Body Responses, Minglin Ma, Wendy F. Liu, Paulina S. Hill, Kaitlin M. Bratlie, Daniel J. Siegwart, Justin Chin, Miri Park, Joao Guerreiro, Daniel G. Anderson
Kaitlin M. Bratlie
A library of cationic polymers, poly(beta-amino alcohols) with a great chemical diversity are synthesized using combinatorial polymerization. These polymers, when immobilized on a surface, drastically affect the behavior of monocyte/macrophage cells in vitro and early inflammatory reactions in vivo. Certain polymers are found capable of mitigating the foreign-body responses.
Selective Recursive Kernel Learning For Online Identification Of Nonlinear Systems With Narx Form, Yi Liu, Haiqing Wang, Jiang Yu, Ping Li
Selective Recursive Kernel Learning For Online Identification Of Nonlinear Systems With Narx Form, Yi Liu, Haiqing Wang, Jiang Yu, Ping Li
Dr. Yi Liu
Online identification of nonlinear systems is still an important while difficult task in practice. A general and simple online identification method, namely Selective Recursive Kernel Learning (SRKL), is proposed for multi-input–multi-output (MIMO) systems with the nonlinear autoregressive with exogenous input form. A two-stage RKL online identification framework is first formulated, where the information contained by a sample (i.e., the new arriving or old useless one) can be introduced into and/or deleted from the model, recursively. Then, a sparsification strategy to restrict the model complexity is developed to guarantee all the output channels of the MIMO model accurate simultaneously. Specially, a …
Modeling Of Fermentation Processes Using Online Kernel Learning Algorithm, Yi Liu
Modeling Of Fermentation Processes Using Online Kernel Learning Algorithm, Yi Liu
Dr. Yi Liu
No abstract provided.
Adaptive Control Of A Class Of Nonlinear Discrete-Time Systems With Online Kernel Learning, Yi Liu
Adaptive Control Of A Class Of Nonlinear Discrete-Time Systems With Online Kernel Learning, Yi Liu
Dr. Yi Liu
No abstract provided.
Microstructure Evolution And Monomer Partitioning In Reversible Addition - Fragmentation Chain Transfer Microemulsion Polymerization, Jennifer M. O'Donnell, Eric W. Kaler
Microstructure Evolution And Monomer Partitioning In Reversible Addition - Fragmentation Chain Transfer Microemulsion Polymerization, Jennifer M. O'Donnell, Eric W. Kaler
Jennifer M. Heinen
Small-angle neutron scattering (SANS) studies of reversible addition - fragmentation chain transfer (RAFT) microemulsion polymerizations of butyl acrylate and 2-ethylhexyl acrylate with the RAFT agent methyl-2-(O-ethylxanthyl) propionate (MOEP) allow the observed rate retardation to be attributed to slow fragmentation of the macro-RAFT radical. Microemulsion polymerization allows the RAFT mechanism to be investigated in the absence of termination reactions so that the cause of the rate retardation frequently observed in both homogeneous and heterogeneous polymerizations may be isolated. However, the concentration of monomer at the locus of polymerization (Cmon(part)) must be known as a function of conversion before a mechanistic study …