Year |
Citation |
Score |
2020 |
Salami H, Lagerman CE, Harris PR, McDonald MA, Bommarius AS, Rousseau RW, Grover MA. Model development for enzymatic reactive crystallization of β-lactam antibiotics: a reaction–diffusion-crystallization approach Reaction Chemistry and Engineering. DOI: 10.1039/D0Re00276C |
0.322 |
|
2020 |
Grover MA, Griffin DJ, Tang X, Kim Y, Rousseau RW. Optimal feedback control of batch self-assembly processes using dynamic programming Journal of Process Control. 88: 32-42. DOI: 10.1016/J.Jprocont.2020.01.013 |
0.355 |
|
2020 |
McBride M, Liu A, Reichmanis E, Grover MA. Toward data-enabled process optimization of deformable electronic polymer-based devices Current Opinion in Chemical Engineering. 27: 72-80. DOI: 10.1016/J.Coche.2019.11.009 |
0.339 |
|
2019 |
McBride M, Bacardi G, Morales C, Risteen B, Keane D, Reichmanis E, Grover MA. Control of Nucleation Density in Conjugated Polymers via Seed Nucleation. Acs Applied Materials & Interfaces. PMID 31522502 DOI: 10.1021/Acsami.9B10967 |
0.315 |
|
2019 |
Grover MA, Hsieh MC, Lynn DG. Systems Analysis for Peptide Systems Chemistry. Life (Basel, Switzerland). 9. PMID 31266164 DOI: 10.3390/Life9030055 |
0.375 |
|
2019 |
Grover MA, Griffin DJ, Tang X. Control of Self-Assembly with Dynamic Programming Ifac-Papersonline. 52: 1-9. DOI: 10.1016/J.Ifacol.2019.06.029 |
0.3 |
|
2019 |
McDonald MA, Bommarius AS, Rousseau RW, Grover MA. Continuous reactive crystallization of β-lactam antibiotics catalyzed by penicillin G acylase. Part I: Model development Computers & Chemical Engineering. 123: 331-343. DOI: 10.1016/J.Compchemeng.2018.12.029 |
0.336 |
|
2018 |
McDonald MA, Bromig L, Grover MA, Rousseau RW, Bommarius AS. Kinetic model discrimination of penicillin G acylase thermal deactivation by non-isothermal continuous activity assay Chemical Engineering Science. 187: 79-86. DOI: 10.1016/J.Ces.2018.04.046 |
0.363 |
|
2017 |
Persson NE, Chu PH, McBride M, Grover M, Reichmanis E. Nucleation, Growth, and Alignment of Poly(3-hexylthiophene) Nanofibers for High-Performance OFETs. Accounts of Chemical Research. PMID 28234458 DOI: 10.1021/Acs.Accounts.6B00639 |
0.371 |
|
2017 |
Kim H, Vastola JT, Kim S, Lu J, Grover MA. Batch sequential minimum energy design with design region adaptation Journal of Quality Technology. 49: 11-26. DOI: 10.1080/00224065.2017.11918182 |
0.548 |
|
2017 |
Kim H, Vastola JT, Kim S, Lu J, Grover MA. Incorporation of engineering knowledge into the modeling process: a local approach International Journal of Production Research. 55: 5865-5880. DOI: 10.1080/00207543.2016.1278082 |
0.579 |
|
2017 |
Li H, Kawajiri Y, Grover MA, Rousseau RW. Modeling of Nucleation and Growth Kinetics for Unseeded Batch Cooling Crystallization Industrial & Engineering Chemistry Research. 56: 4060-4073. DOI: 10.1021/Acs.Iecr.6B04914 |
0.355 |
|
2017 |
Tang X, Zhang J, Bevan MA, Grover MA. A comparison of open-loop and closed-loop strategies in colloidal self-assembly Journal of Process Control. 60: 141-151. DOI: 10.1016/J.Jprocont.2017.06.003 |
0.368 |
|
2016 |
Tang X, Rupp B, Yang Y, Edwards TD, Grover MA, Bevan MA. Optimal Feedback Controlled Assembly of Perfect Crystals. Acs Nano. PMID 27387146 DOI: 10.1021/Acsnano.6B02400 |
0.344 |
|
2016 |
Bonvin D, Georgakis C, Pantelides CC, Barolo M, Grover MA, Rodrigues D, Schneider R, Dochain D. Linking Models and Experiments Industrial & Engineering Chemistry Research. 55: 6891-6903. DOI: 10.1021/Acs.Iecr.5B04801 |
0.396 |
|
2016 |
Griffin DJ, Grover MA, Kawajiri Y, Rousseau RW. Data-Driven Modeling and Dynamic Programming Applied to Batch Cooling Crystallization Industrial and Engineering Chemistry Research. 55: 1361-1372. DOI: 10.1021/Acs.Iecr.5B03635 |
0.352 |
|
2016 |
Tang X, A. Bevan M, Grover MA. Markov decision process based time-varying optimal control for colloidal self-assembly Ifac-Papersonline. 49: 430-435. DOI: 10.1016/J.Ifacol.2016.07.380 |
0.344 |
|
2016 |
Persson N, McBride M, Grover M, Reichmanis E. Silicon Valley meets the ivory tower: Searchable data repositories for experimental nanomaterials research Current Opinion in Solid State and Materials Science. 20: 338-343. DOI: 10.1016/J.Cossms.2016.06.002 |
0.339 |
|
2016 |
Kim H, Kim S, Deng J, Lu J, Wang K, Zhang C, Grover MA, Wang B. An integrated holistic model of a complex process The International Journal of Advanced Manufacturing Technology. 89: 1137-1147. DOI: 10.1007/S00170-016-9088-0 |
0.555 |
|
2015 |
Kim S, Kim H, Lu RW, Lu JC, Casciato MJ, Grover MA. Adaptive combined space-filling and D-optimal designs International Journal of Production Research. DOI: 10.1080/00207543.2015.1037067 |
0.611 |
|
2015 |
Bevan MA, Ford DM, Grover MA, Shapiro B, Maroudas D, Yang Y, Thyagarajan R, Tang X, Sehgal RM. Controlling assembly of colloidal particles into structured objects: Basic strategy and a case study Journal of Process Control. 27: 64-75. DOI: 10.1016/J.Jprocont.2014.11.011 |
0.343 |
|
2015 |
King JC, Li H, Grover MA, Kawajiri Y, Rousseau RW. Optimization of two-stage cooling profile in unseeded batch crystallization Ifac Proceedings Volumes (Ifac-Papersonline). 48: 297-302. DOI: 10.1016/J.Ifacol.2015.08.197 |
0.321 |
|
2015 |
Kim S, Kim H, Lu JC, Casciato MJ, Grover MA, Hess DW, Lu RW, Wang X. Layers of Experiments with Adaptive Combined Design Naval Research Logistics. 62: 127-142. DOI: 10.1002/Nav.21618 |
0.594 |
|
2014 |
Hernandez AF, Wagner MJ, Grover MA. Model identification of a template-directed peptide network for optimization in a continuous reactor. Chemical Communications (Cambridge, England). 50: 3849-51. PMID 24590303 DOI: 10.1039/C4Cc00501E |
0.319 |
|
2014 |
Xue Y, Beltran-Villegas DJ, Tang X, Bevan MA, Grover MA. Optimal design of a colloidal self-assembly process Ieee Transactions On Control Systems Technology. 22: 1956-1963. DOI: 10.1109/Tcst.2013.2296700 |
0.352 |
|
2014 |
Li H, Kawajiri Y, Grover MA, Rousseau RW. Application of an empirical FBRM model to estimate crystal size distributions in batch crystallization Crystal Growth and Design. 14: 607-616. DOI: 10.1021/Cg401484D |
0.314 |
|
2014 |
Griffin DJ, Grover MA, Kawajiri Y, Rousseau RW. Robust multicomponent IR-to-concentration model regression Chemical Engineering Science. 116: 77-90. DOI: 10.1016/J.Ces.2014.04.013 |
0.325 |
|
2013 |
Vastola JT, Lu J, Casciato MJ, Hess DW, Grover MA. A Framework for Initial Experimental Design in the Presence of Competing Prior Knowledge Journal of Quality Technology. 45: 301-329. DOI: 10.1080/00224065.2013.11917941 |
0.369 |
|
2013 |
Casciato MJ, Vastola JT, Lu JC, Hess DW, Grover MA. Initial experimental design methodology incorporating expert conjecture, prior data, and engineering models for deposition of iridium nanoparticles in supercritical carbon dioxide Industrial and Engineering Chemistry Research. 52: 9645-9653. DOI: 10.1021/Ie400996G |
0.437 |
|
2013 |
Hernandez AF, Grover MA. Error estimation properties of Gaussian process models in stochastic simulations European Journal of Operational Research. 228: 131-140. DOI: 10.1016/J.Ejor.2012.12.033 |
0.339 |
|
2013 |
Li H, Grover MA, Kawajiri Y, Rousseau RW. Development of an empirical method relating crystal size distributions and FBRM measurements Chemical Engineering Science. 89: 142-151. DOI: 10.1016/J.Ces.2012.10.031 |
0.306 |
|
2012 |
Casciato MJ, Kim S, Lu JC, Hess DW, Grover MA. Optimization of a Carbon Dioxide-Assisted Nanoparticle Deposition Process Using Sequential Experimental Design with Adaptive Design Space Industrial & Engineering Chemistry Research. 51: 15807-15807. DOI: 10.1021/Ie2028574 |
0.594 |
|
2012 |
Casciato MJ, Kim S, Lu JC, Hess DW, Grover MA. Optimization of carbon dioxide-assisted nanoparticle deposition process with uncertain design space Computer Aided Chemical Engineering. 31: 1191-1195. DOI: 10.1016/B978-0-444-59506-5.50069-9 |
0.599 |
|
2011 |
Jariwala AS, Ding F, Boddapati A, Breedveld V, Grover MA, Henderson CL, Rosen DW. Modeling effects of oxygen inhibition in mask-based stereolithography Rapid Prototyping Journal. 17: 168-175. DOI: 10.1108/13552541111124734 |
0.405 |
|
2011 |
Hernandez AF, Grover MA. Comparison of Sampling Strategies for Gaussian Process Models, with Application to Nanoparticle Dynamics Industrial & Engineering Chemistry Research. 50: 1379-1388. DOI: 10.1021/Ie1007954 |
0.367 |
|
2011 |
Boddapati A, Rahane SB, Slopek RP, Breedveld V, Henderson CL, Grover MA. Gel time prediction of multifunctional acrylates using a kinetics model Polymer. 52: 866-873. DOI: 10.1016/J.Polymer.2010.12.024 |
0.323 |
|
2010 |
Li X, Hernandez AF, Grover MA, Hud NV, Lynn DG. Step-growth control in template-directed polymerization Heterocycles. 82: 1477-1488. DOI: 10.3987/Com-10-S(E)99 |
0.321 |
|
2010 |
Wissmann PJ, Grover MA. Optimization of a chemical vapor deposition process using sequential experimental design Industrial and Engineering Chemistry Research. 49: 5694-5701. DOI: 10.1021/Ie901055E |
0.698 |
|
2010 |
Hernandez AF, Grover MA. Stochastic dynamic predictions using Gaussian process models for nanoparticle synthesis Computers & Chemical Engineering. 34: 1953-1961. DOI: 10.1016/J.Compchemeng.2010.07.023 |
0.393 |
|
2009 |
Grover MA, Xiong R. A Modified Moving Horizon Estimator for In Situ Sensing of a Chemical Vapor Deposition Process Ieee Transactions On Control Systems and Technology. 17: 1228-1235. DOI: 10.1109/Tcst.2009.2012519 |
0.311 |
|
2009 |
Hernandez AF, Grover MA. Stochastic Dynamic Predictions Using Kriging for Nanoparticle Synthesis Computer-Aided Chemical Engineering. 27: 357-362. DOI: 10.1016/S1570-7946(09)70280-9 |
0.343 |
|
2009 |
Wissmann PJ, Grover MA. A new approach to batch process optimization using experimental design Aiche Journal. 55: 342-353. DOI: 10.1002/Aic.11715 |
0.691 |
|
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