Matthew Realff
Matthew Realff
Verified email at chbe.gatech.edu
Title
Cited by
Cited by
Year
Cellulose crystallinity–a key predictor of the enzymatic hydrolysis rate
M Hall, P Bansal, JH Lee, MJ Realff, AS Bommarius
The FEBS journal 277 (6), 1571-1582, 2010
4802010
Modeling cellulase kinetics on lignocellulosic substrates
P Bansal, M Hall, MJ Realff, JH Lee, AS Bommarius
Biotechnology advances 27 (6), 833-848, 2009
4132009
Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty
J Kim, MJ Realff, JH Lee
Computers & Chemical Engineering 35 (9), 1738-1751, 2011
3232011
Assessing performance and uncertainty in developing carpet reverse logistics systems
M Biehl, E Prater, MJ Realff
Computers & Operations Research 34 (2), 443-463, 2007
2352007
Design of biomass processing network for biofuel production using an MILP model
J Kim, MJ Realff, JH Lee, C Whittaker, L Furtner
Biomass and bioenergy 35 (2), 853-871, 2011
2232011
Robust reverse production system design for carpet recycling
MJ Realff, JC Ammons, DJ Newton
Iie Transactions 36 (8), 767-776, 2004
1752004
Multivariate statistical analysis of X-ray data from cellulose: a new method to determine degree of crystallinity and predict hydrolysis rates
P Bansal, M Hall, MJ Realff, JH Lee, AS Bommarius
Bioresource technology 101 (12), 4461-4471, 2010
1732010
Life cycle energy and greenhouse gas emissions for an ethanol production process based on blue-green algae
D Luo, Z Hu, DG Choi, VM Thomas, MJ Realff, RR Chance
Environmental science & technology 44 (22), 8670-8677, 2010
1322010
Carpet recycling: determining the reverse production system design
MJ Realff, JC Ammons, D Newton
Polymer-Plastics Technology and Engineering 38 (3), 547-567, 1999
1261999
Strategic design of reverse production systems
MJ Realff, JC Ammons, D Newton
Computers & Chemical Engineering 24 (2-7), 991-996, 2000
1132000
Machine learning: Overview of the recent progresses and implications for the process systems engineering field
JH Lee, J Shin, MJ Realff
Computers & Chemical Engineering 114, 111-121, 2018
1072018
Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application
J Choi, MJ Realff, JH Lee
Computers & chemical engineering 28 (6-7), 1039-1058, 2004
1032004
When collaboration doesn’t work
M Guzdial, P Ludovice, M Realff, T Morley, K Carroll
Proceedings of the International Conference of the Learning Sciences, 125-130, 2002
812002
Biological pretreatment of cellulose: Enhancing enzymatic hydrolysis rate using cellulose-binding domains from cellulases
M Hall, P Bansal, JH Lee, MJ Realff, AS Bommarius
Bioresource technology 102 (3), 2910-2915, 2011
642011
Sample average approximation methods for stochastic MINLPs
J Wei, MJ Realff
Computers & Chemical Engineering 28 (3), 333-346, 2004
642004
E-waste: an opportunity
MJ Realff, M Raymond, JC Ammons
Materials today 7 (1), 40-45, 2004
632004
Elucidation of cellulose accessibility, hydrolysability and reactivity as the major limitations in the enzymatic hydrolysis of cellulose
P Bansal, BJ Vowell, M Hall, MJ Realff, JH Lee, AS Bommarius
Bioresource technology 107, 243-250, 2012
622012
Design and optimization of free‐fall electrostatic separators for plastics recycling
J Wei, MJ Realff
AIChE Journal 49 (12), 3138-3149, 2003
592003
Scenario relaxation algorithm for finite scenario-based min–max regret and min–max relative regret robust optimization
T Assavapokee, MJ Realff, JC Ammons, IH Hong
Computers & operations research 35 (6), 2093-2102, 2008
572008
Metamodeling approach to optimization of steady-state flowsheet simulations: Model generation
K Palmer, M Realff
Chemical Engineering Research and Design 80 (7), 760-772, 2002
562002
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