| Year |
Citation |
Score |
| 2023 |
Dan A, Vaswani H, Tomnikova A, Ramachandran R. Multi-dimensional population balance model development using a breakage mode probability kernel for prediction of multiple granule attributes. Pharmaceutical Development and Technology. 1-23. PMID 37410512 DOI: 10.1080/10837450.2023.2231074 |
0.408 |
|
| 2022 |
Zidan A, Kotamarthy L, Ramachandran R, Ashraf M, O'Connor T. Optimization of screw design for continuous wet granulation: A case study of metoprolol succinate ER tablets. International Journal of Pharmaceutics. 623: 121964. PMID 35764264 DOI: 10.1016/j.ijpharm.2022.121964 |
0.324 |
|
| 2022 |
Kotamarthy L, Feng X, Alayoubi A, Kumar Bolla P, Ramachandran R, Ashraf M, O'Connor T, Zidan A. Switching from batch to continuous granulation: A case study of metoprolol succinate ER tablets. International Journal of Pharmaceutics. 617: 121598. PMID 35202728 DOI: 10.1016/j.ijpharm.2022.121598 |
0.309 |
|
| 2022 |
Baranwal Y, Román-Ospino AD, Li J, Razavi SM, Muzzio FJ, Ramachandran R. Prediction of entire tablet formulations from pure powder components' spectra via a two-step non-linear optimization methodology. International Journal of Pharmaceutics. 615: 121472. PMID 35063595 DOI: 10.1016/j.ijpharm.2022.121472 |
0.339 |
|
| 2021 |
Muthancheri I, Ramachandran R. A Hybrid Model to Predict Formulation Dependent Granule Growth in a Bi-Component Wet Granulation Process. Pharmaceutics. 13. PMID 34959342 DOI: 10.3390/pharmaceutics13122063 |
0.366 |
|
| 2021 |
Muddu SV, Kotamarthy L, Ramachandran R. A Semi-Mechanistic Prediction of Residence Time Metrics in Twin Screw Granulation. Pharmaceutics. 13. PMID 33809652 DOI: 10.3390/pharmaceutics13030393 |
0.302 |
|
| 2021 |
Sampat C, Ramachandran R. Identification of Granule Growth Regimes in High Shear Wet Granulation Processes Using a Physics-Constrained Neural Network Processes. 9: 737. DOI: 10.3390/PR9050737 |
0.314 |
|
| 2020 |
Kotamarthy L, Metta N, Ramachandran R. Understanding the Effect of Granulation and Milling Process Parameters on the Quality Attributes of Milled Granules Processes. 8: 683. DOI: 10.3390/pr8060683 |
0.381 |
|
| 2020 |
Muthancheri I, Ramachandran R. Mechanistic understanding of granule growth behavior in bi-component wet granulation processes with wettability differentials Powder Technology. 367: 841-859. DOI: 10.1016/J.Powtec.2020.04.016 |
0.374 |
|
| 2020 |
Moroney KM, Cronin P, Adeleye OA, Schaller BE, Howard MA, Castro-Dominguez B, Ramachandran R, Walker GM. An evaluation of the Johanson model for roller compaction process development for a high dose API Powder Technology. 366: 82-95. DOI: 10.1016/J.Powtec.2020.02.058 |
0.459 |
|
| 2020 |
Gao T, Singaravelu AS, Oka S, Ramachandran R, Štepánek F, Chawla N, Emady HN. Powder bed packing and API content homogeneity of granules in single drop granule formation Powder Technology. 366: 12-21. DOI: 10.1016/J.Powtec.2020.02.039 |
0.416 |
|
| 2020 |
Sampat C, Baranwal Y, Ramachandran R. Accelerating multi-dimensional population balance model simulations via a highly scalable framework using GPUs Computers & Chemical Engineering. 140: 106935. DOI: 10.1016/J.Compchemeng.2020.106935 |
0.32 |
|
| 2020 |
Muthancheri I, Long B, Ryan KM, Padrela L, Ramachandran R. Development and validation of a two-dimensional population balance model for a supercritical CO2 antisolvent batch crystallization process Advanced Powder Technology. 31: 3191-3204. DOI: 10.1016/J.Apt.2020.06.008 |
0.505 |
|
| 2020 |
Tamrakar A, Zheng A, Piccione PM, Ramachandran R. Investigating particle-level dynamics to understand bulk behavior in a lab-scale Agitated Filter Dryer (AFD) using Discrete Element Method (DEM) Advanced Powder Technology. 31: 477-492. DOI: 10.1016/J.Apt.2019.11.004 |
0.451 |
|
| 2020 |
Metta N, Ramachandran R, Ierapetritou M. A Computationally Efficient Surrogate-Based Reduction of a Multiscale Comill Process Model Journal of Pharmaceutical Innovation. 15: 1-21. DOI: 10.1007/S12247-019-09388-2 |
0.553 |
|
| 2019 |
Román-Ospino AD, Tamrakar A, Igne B, Towns Dimaso E, Airiau C, Clancy DJ, Pereira G, Muzzio FJ, Singh R, Ramachandran R. Characterization of NIR interfaces for the feeding and in-line monitoring of a continuous granulation process. International Journal of Pharmaceutics. 118848. PMID 31812798 DOI: 10.1016/J.Ijpharm.2019.118848 |
0.348 |
|
| 2019 |
Baranwal Y, Román-Ospino AD, Keyvan G, Ha JM, Hong EP, Muzzio FJ, Ramachandran R. Prediction of dissolution profiles by non-destructive NIR spectroscopy in bilayer tablets. International Journal of Pharmaceutics. PMID 31085258 DOI: 10.1016/J.Ijpharm.2019.05.022 |
0.363 |
|
| 2019 |
Metta N, Ghijs M, Schäfer E, Kumar A, Cappuyns P, Assche IV, Singh R, Ramachandran R, Beer TD, Ierapetritou M, Nopens I. Dynamic Flowsheet Model Development and Sensitivity Analysis of a Continuous Pharmaceutical Tablet Manufacturing Process Using the Wet Granulation Route Processes. 7: 234. DOI: 10.3390/PR7040234 |
0.439 |
|
| 2019 |
Tamrakar A, Ramachandran R. CFD–DEM–PBM coupled model development and validation of a 3D top-spray fluidized bed wet granulation process Computers & Chemical Engineering. 125: 249-270. DOI: 10.1016/J.Compchemeng.2019.01.023 |
0.526 |
|
| 2019 |
Tamrakar A, Chen SW, Ramachandran R. A DEM model-based study to quantitatively compare the effect of wet and dry binder addition in high-shear wet granulation processes Chemical Engineering Research & Design. 142: 307-326. DOI: 10.1016/J.Cherd.2018.12.016 |
0.435 |
|
| 2019 |
Meng W, Dvořák J, Kumar R, Hofmeister R, Štěpánek F, Ramachandran R, Muzzio FJ. Continuous high-shear granulation: Mechanistic understanding of the influence of process parameters on critical quality attributes via elucidating the internal physical and chemical microstructure Advanced Powder Technology. 30: 1765-1781. DOI: 10.1016/J.Apt.2019.04.028 |
0.455 |
|
| 2019 |
Meng W, Román-Ospino AD, Panikar SS, O'Callaghan C, Gilliam SJ, Ramachandran R, Muzzio FJ. Advanced process design and understanding of continuous twin-screw granulation via implementation of in-line process analytical technologies Advanced Powder Technology. 30: 879-894. DOI: 10.1016/J.Apt.2019.01.017 |
0.5 |
|
| 2018 |
Meng W, Rao KS, Snee RD, Ramachandran R, Muzzio FJ. A comprehensive analysis and optimization of continuous twin-screw granulation processes via sequential experimentation strategy. International Journal of Pharmaceutics. PMID 30553003 DOI: 10.1016/J.Ijpharm.2018.12.009 |
0.445 |
|
| 2018 |
Gao T, Singaravelu ASS, Oka S, Ramachandran R, Štepánek F, Chawla N, Emady HN. Granule formation and structure from single drop impact on heterogeneous powder beds. International Journal of Pharmaceutics. PMID 30236649 DOI: 10.1016/J.Ijpharm.2018.09.036 |
0.393 |
|
| 2018 |
Metta N, Verstraeten M, Ghijs M, Kumar A, Schafer E, Singh R, Beer T, Nopens I, Cappuyns P, Assche IV, Ierapetritou M, Ramachandran R. Model development and prediction of particle size distribution, density and friability of a comilling operation in a continuous pharmaceutical manufacturing process. International Journal of Pharmaceutics. PMID 30076889 DOI: 10.1016/J.Ijpharm.2018.07.056 |
0.536 |
|
| 2018 |
Muddu S, Tamrakar A, Pandey P, Ramachandran R. Model Development and Validation of Fluid Bed Wet Granulation with Dry Binder Addition Using a Population Balance Model Methodology Processes. 6: 154. DOI: 10.3390/PR6090154 |
0.433 |
|
| 2018 |
Chaturbedi A, Pandey P, Bindra D, Reddy JP, Lang B, Buckley D, Ramachandran R. Predictive population balance model development and validation of the effect of high shear wet granulation process parameters on granule properties Powder Technology. 338: 391-401. DOI: 10.1016/J.Powtec.2018.07.004 |
0.483 |
|
| 2018 |
Sampat C, Bettencourt F, Baranwal Y, Paraskevakos I, Chaturbedi A, Karkala S, Jha S, Ramachandran R, Ierapetritou M. A parallel unidirectional coupled DEM-PBM model for the efficient simulation of computationally intensive particulate process systems Computers & Chemical Engineering. 119: 128-142. DOI: 10.1016/J.Compchemeng.2018.08.006 |
0.491 |
|
| 2018 |
Kataria A, Oka S, Smrčka D, Grof Z, Štěpánek F, Ramachandran R. A quantitative analysis of drug migration during granule drying Chemical Engineering Research & Design. 136: 199-206. DOI: 10.1016/J.Cherd.2018.05.001 |
0.378 |
|
| 2018 |
Metta N, Ierapetritou M, Ramachandran R. A multiscale DEM-PBM approach for a continuous comilling process using a mechanistically developed breakage kernel Chemical Engineering Science. 178: 211-221. DOI: 10.1016/J.Ces.2017.12.016 |
0.538 |
|
| 2018 |
Pereira GC, Muddu SV, Román-Ospino AD, Clancy D, Igne B, Airiau C, Muzzio FJ, Ierapetritou M, Ramachandran R, Singh R. Combined Feedforward/Feedback Control of an Integrated Continuous Granulation Process Journal of Pharmaceutical Innovation. 14: 259-285. DOI: 10.1007/S12247-018-9347-8 |
0.388 |
|
| 2017 |
Oka S, Smrčka D, Kataria A, Emady H, Muzzio F, Štěpánek F, Ramachandran R. Analysis of the origins of content non-uniformity in high-shear wet granulation. International Journal of Pharmaceutics. PMID 28627457 DOI: 10.1016/J.Ijpharm.2017.06.034 |
0.381 |
|
| 2017 |
Bettencourt FE, Chaturbedi A, Ramachandran R. Parallelization methods for efficient simulation of high dimensional population balance models of granulation Computers & Chemical Engineering. 107: 158-170. DOI: 10.1016/J.Compchemeng.2017.02.043 |
0.361 |
|
| 2017 |
Chaturbedi A, Bandi CK, Reddy D, Pandey P, Narang A, Bindra D, Tao L, Zhao J, Li J, Hussain M, Ramachandran R. Compartment based population balance model development of a high shear wet granulation process via dry and wet binder addition Chemical Engineering Research and Design. 123: 187-200. DOI: 10.1016/J.Cherd.2017.04.017 |
0.534 |
|
| 2017 |
Meng W, Oka S, Liu X, Omer T, Ramachandran R, Muzzio FJ. Effects of Process and Design Parameters on Granule Size Distribution in a Continuous High Shear Granulation Process Journal of Pharmaceutical Innovation. 12: 283-295. DOI: 10.1007/S12247-017-9288-7 |
0.407 |
|
| 2016 |
Meng W, Kotamarthy L, Panikar S, Sen M, Pradhan S, Marc M, Litster JD, Muzzio FJ, Ramachandran R. Statistical analysis and comparison of a continuous high shear granulator with a twin screw granulator: Effect of process parameters on critical granule attributes and granulation mechanisms. International Journal of Pharmaceutics. PMID 27633277 DOI: 10.1016/J.Ijpharm.2016.09.041 |
0.47 |
|
| 2016 |
Román-Ospino AD, Singh R, Ierapetritou M, Ramachandran R, Méndez R, Ortega-Zuñiga C, Muzzio FJ, Romañach RJ. Near infrared spectroscopic calibration models for real time monitoring of powder density. International Journal of Pharmaceutics. PMID 27543356 DOI: 10.1016/J.Ijpharm.2016.08.029 |
0.377 |
|
| 2016 |
Besenhard MO, Karkala S, Faulhammer E, Fathollahi S, Ramachandran R, Khinast JG. Continuous Feeding of Low-Dose APIs via Periodic Micro Dosing. International Journal of Pharmaceutics. PMID 27210736 DOI: 10.1016/J.Ijpharm.2016.05.033 |
0.357 |
|
| 2016 |
Tamrakar A, Gunadi A, Piccione PM, Ramachandran R. Dynamic agglomeration profiling during the drying phase in an agitated filter dyer: Parametric investigation and regime map studies Powder Technology. 303: 109-123. DOI: 10.1016/J.Powtec.2016.09.012 |
0.414 |
|
| 2016 |
Adepu M, Hate S, Bétard A, Oka S, Schongut M, Sen M, Sood Y, Wolf D, Wieland S, Stepanek F, Muzzio F, Glasser B, Ramachandran R. Quantitative validation and analysis of the regime map approach for the wet granulation of industrially relevant zirconium hydroxide powders Powder Technology. 294: 177-184. DOI: 10.1016/J.Powtec.2016.02.026 |
0.363 |
|
| 2016 |
Chaturbedi A, Pathak C, Deshpande K, Shapley N, Ramachandran R. Population balance model development and experimental validation for the heteroaggregation of oppositely charged micro- and nano-particles Chemical Engineering Research and Design. 113: 96-111. DOI: 10.1016/J.Cherd.2016.07.004 |
0.433 |
|
| 2016 |
Tamrakar A, Karkala S, Schankel D, Ramachandran R. Implementation of hybrid DEM-PBM approach to reduce the computational cost of powder mixing modeling Computer-Aided Chemical Engineering. 38: 1267-1273. DOI: 10.1016/B978-0-444-63428-3.50216-2 |
0.441 |
|
| 2016 |
Barrasso D, Ramachandran R. Discrete element modeling of solid dosage manufacturing processes Methods in Pharmacology and Toxicology. 32: 105-131. DOI: 10.1007/978-1-4939-2996-2_4 |
0.313 |
|
| 2015 |
Singh R, Román-Ospino AD, Romañach RJ, Ierapetritou M, Ramachandran R. Real time monitoring of powder blend bulk density for coupled feed-forward/feed-back control of a continuous direct compaction tablet manufacturing process. International Journal of Pharmaceutics. 495: 612-25. PMID 26386140 DOI: 10.1016/J.Ijpharm.2015.09.029 |
0.43 |
|
| 2015 |
Ghodbane M, Kulesa A, Yu HH, Maguire TJ, Schloss RR, Ramachandran R, Zahn JD, Yarmush ML. Development of a low-volume, highly sensitive microimmunoassay using computational fluid dynamics-driven multiobjective optimization. Microfluidics and Nanofluidics. 18: 199-214. PMID 25691853 DOI: 10.1007/S10404-014-1416-9 |
0.308 |
|
| 2015 |
Chaudhury A, Tamrakar A, Schöngut M, Smrčka D, Štěpánek F, Ramachandran R. Multidimensional population balance model development and validation of a reactive detergent granulation process Industrial and Engineering Chemistry Research. 54: 842-857. DOI: 10.1021/Ie503203Z |
0.488 |
|
| 2015 |
Barrasso D, Tamrakar A, Ramachandran R. Model order reduction of a multi-scale PBM-DEM description of a wet granulation process via ANN Procedia Engineering. 102: 1295-1304. DOI: 10.1016/J.Proeng.2015.01.260 |
0.491 |
|
| 2015 |
Oka S, Emady H, Kašpar O, Tokárová V, Muzzio F, Štěpánek F, Ramachandran R. The effects of improper mixing and preferential wetting of active and excipient ingredients on content uniformity in high shear wet granulation Powder Technology. 278: 266-277. DOI: 10.1016/J.Powtec.2015.03.018 |
0.452 |
|
| 2015 |
Barrasso D, El Hagrasy A, Litster JD, Ramachandran R. Multi-dimensional population balance model development and validation for a twin screw granulation process Powder Technology. 270: 612-621. DOI: 10.1016/J.Powtec.2014.06.035 |
0.559 |
|
| 2015 |
Chaudhury A, Armenante ME, Ramachandran R. Compartment based population balance modeling of a high shear wet granulation process using data analytics Chemical Engineering Research and Design. 95: 211-228. DOI: 10.1016/J.Cherd.2014.10.024 |
0.528 |
|
| 2015 |
Barrasso D, Ramachandran R. Multi-scale modeling of granulation processes: Bi-directional coupling of PBM with DEM via collision frequencies Chemical Engineering Research and Design. 93: 304-317. DOI: 10.1016/J.Cherd.2014.04.016 |
0.512 |
|
| 2015 |
Barrasso D, Eppinger T, Pereira FE, Aglave R, Debus K, Bermingham SK, Ramachandran R. A multi-scale, mechanistic model of a wet granulation process using a novel bi-directional PBM-DEM coupling algorithm Chemical Engineering Science. 123: 500-513. DOI: 10.1016/J.Ces.2014.11.011 |
0.571 |
|
| 2015 |
Wu S, Panikar SS, Singh R, Zhang J, Glasser B, Ramachandran R. A systematic framework to monitor mulling processes using Near Infrared spectroscopy Advanced Powder Technology. DOI: 10.1016/J.Apt.2016.03.022 |
0.387 |
|
| 2015 |
Oka S, Kašpar O, Tokárová V, Sowrirajan K, Wu H, Khan M, Muzzio F, Štěpánek F, Ramachandran R. A quantitative study of the effect of process parameters on key granule characteristics in a high shear wet granulation process involving a two component pharmaceutical blend Advanced Powder Technology. 26: 315-322. DOI: 10.1016/J.Apt.2014.10.012 |
0.497 |
|
| 2015 |
Singh R, Muzzio F, Ierapetritou M, Ramachandran R. Plant-Wide Control of a Continuous Tablet Manufacturing for Quality-By-Design Based Pharmaceutical Manufacturing Computer Aided Chemical Engineering. 37: 2183-2188. DOI: 10.1016/B978-0-444-63576-1.50058-3 |
0.385 |
|
| 2015 |
Barrasso D, Ramachandran R. Qualitative Assessment of a Multi-Scale, Compartmental PBM-DEM Model of a Continuous Twin-Screw Wet Granulation Process Journal of Pharmaceutical Innovation. 1-19. DOI: 10.1007/S12247-015-9240-7 |
0.534 |
|
| 2015 |
Singh R, Sen M, Ierapetritou M, Ramachandran R. Integrated Moving Horizon-Based Dynamic Real-Time Optimization and Hybrid MPC-PID Control of a Direct Compaction Continuous Tablet Manufacturing Process Journal of Pharmaceutical Innovation. 10: 233-253. DOI: 10.1007/S12247-015-9221-X |
0.397 |
|
| 2015 |
Chaudhury A, Sen M, Barrasso D, Ramachandran R. Population balance models for pharmaceutical processes Methods in Pharmacology and Toxicology. 32: 43-83. DOI: 10.1007/978-1-4939-2996-2_2 |
0.352 |
|
| 2014 |
Zhang J, Ying Y, Pielecha-Safira B, Bilgili E, Ramachandran R, Romañach R, Davé RN, Iqbal Z. Raman spectroscopy for in-line and off-line quantification of poorly soluble drugs in strip films. International Journal of Pharmaceutics. 475: 428-37. PMID 25173638 DOI: 10.1016/J.Ijpharm.2014.08.051 |
0.327 |
|
| 2014 |
Singh R, Sahay A, Karry KM, Muzzio F, Ierapetritou M, Ramachandran R. Implementation of an advanced hybrid MPC-PID control system using PAT tools into a direct compaction continuous pharmaceutical tablet manufacturing pilot plant. International Journal of Pharmaceutics. 473: 38-54. PMID 24974987 DOI: 10.1016/J.Ijpharm.2014.06.045 |
0.37 |
|
| 2014 |
Singh R, Sahay A, Muzzio F, Ierapetritou M, Ramachandran R. A systematic framework for onsite design and implementation of a control system in a continuous tablet manufacturing process Computers and Chemical Engineering. 66: 186-200. DOI: 10.1016/J.Compchemeng.2014.02.029 |
0.408 |
|
| 2014 |
Chaudhury A, Oseledets I, Ramachandran R. A computationally efficient technique for the solution of multi-dimensional PBMs of granulation via tensor decomposition Computers and Chemical Engineering. 61: 234-244. DOI: 10.1016/J.Compchemeng.2013.10.020 |
0.442 |
|
| 2014 |
Besenhard MO, Chaudhury A, Vetter T, Ramachandran R, Khinast JG. Evaluation of Parameter Estimation Methods for Crystallization Processes Modeled via Population Balance Equations Chemical Engineering Research and Design. DOI: 10.1016/J.Cherd.2014.08.004 |
0.394 |
|
| 2014 |
Barrasso D, Tamrakar A, Ramachandran R. A reduced order PBM-ANN model of a multi-scale PBM-DEM description of a wet granulation process Chemical Engineering Science. 119: 319-329. DOI: 10.1016/J.Ces.2014.08.005 |
0.527 |
|
| 2014 |
Chaudhury A, Wu H, Khan M, Ramachandran R. A mechanistic population balance model for granulation processes: Effect of process and formulation parameters Chemical Engineering Science. 107: 76-92. DOI: 10.1016/J.Ces.2013.11.031 |
0.554 |
|
| 2014 |
Sen M, Singh R, Ramachandran R. Simulation-based design of an efficient control system for the continuous purification and processing of active pharmaceutical ingredients Journal of Pharmaceutical Innovation. 9: 65-81. DOI: 10.1007/S12247-014-9173-6 |
0.386 |
|
| 2014 |
Chaudhury A, Barrasso D, Pandey P, Wu H, Ramachandran R. Population balance model development, validation, and prediction of CQAs of a high-shear wet granulation process: Towards QbD in drug product pharmaceutical manufacturing Journal of Pharmaceutical Innovation. 9: 53-64. DOI: 10.1007/S12247-014-9172-7 |
0.546 |
|
| 2014 |
Singh R, Barrasso D, Chaudhury A, Sen M, Ierapetritou M, Ramachandran R. Closed-Loop Feedback Control of a Continuous Pharmaceutical Tablet Manufacturing Process via Wet Granulation Journal of Pharmaceutical Innovation. 9: 16-37. DOI: 10.1007/S12247-014-9170-9 |
0.448 |
|
| 2013 |
Kašpar O, Tokárová V, Oka S, Sowrirajan K, Ramachandran R, St?pánek F. Combined UV/Vis and micro-tomography investigation of acetaminophen dissolution from granules. International Journal of Pharmaceutics. PMID 24513549 DOI: 10.1016/J.Ijpharm.2013.10.032 |
0.342 |
|
| 2013 |
Singh R, Ierapetritou M, Ramachandran R. System-wide hybrid MPC-PID control of a continuous pharmaceutical tablet manufacturing process via direct compaction. European Journal of Pharmaceutics and Biopharmaceutics : Official Journal of Arbeitsgemeinschaft Fã¼R Pharmazeutische Verfahrenstechnik E.V. 85: 1164-82. PMID 23523542 DOI: 10.1016/J.Ejpb.2013.02.019 |
0.429 |
|
| 2013 |
Sen M, Chaudhury A, Singh R, John J, Ramachandran R. Multi-scale flowsheet simulation of an integrated continuous purification-downstream pharmaceutical manufacturing process. International Journal of Pharmaceutics. 445: 29-38. PMID 23380627 DOI: 10.1016/J.Ijpharm.2013.01.054 |
0.486 |
|
| 2013 |
Pandey P, Tao J, Chaudhury A, Ramachandran R, Gao JZ, Bindra DS. A combined experimental and modeling approach to study the effects of high-shear wet granulation process parameters on granule characteristics. Pharmaceutical Development and Technology. 18: 210-24. PMID 22780851 DOI: 10.3109/10837450.2012.700933 |
0.538 |
|
| 2013 |
Sen M, Dubey A, Singh R, Ramachandran R. Mathematical Development and Comparison of a Hybrid PBM-DEM Description of a Continuous Powder Mixing Process Journal of Powder Technology. 2013: 1-11. DOI: 10.1155/2013/843784 |
0.556 |
|
| 2013 |
Prakash AV, Chaudhury A, Ramachandran R. Parallel simulation of population balance model-based particulate processes using multicore CPUs and GPUs Modelling and Simulation in Engineering. 2013: 2. DOI: 10.1155/2013/475478 |
0.458 |
|
| 2013 |
Chaudhury A, Ramachandran R. Integrated population balance model development and validation of a granulation process Particulate Science and Technology. 31: 407-418. DOI: 10.1080/02726351.2013.767295 |
0.526 |
|
| 2013 |
Barrasso D, Walia S, Ramachandran R. Multi-component population balance modeling of continuous granulation processes: A parametric study and comparison with experimental trends Powder Technology. 241: 85-97. DOI: 10.1016/J.Powtec.2013.03.001 |
0.592 |
|
| 2013 |
Prakash AV, Chaudhury A, Barrasso D, Ramachandran R. Simulation of population balance model-based particulate processes via parallel and distributed computing Chemical Engineering Research & Design. 91: 1259-1271. DOI: 10.1016/J.Cherd.2013.01.017 |
0.43 |
|
| 2013 |
Sen M, Rogers A, Singh R, Chaudhury A, John J, Ierapetritou MG, Ramachandran R. Flowsheet optimization of an integrated continuous purification-processing pharmaceutical manufacturing operation Chemical Engineering Science. 102: 56-66. DOI: 10.1016/J.Ces.2013.07.035 |
0.495 |
|
| 2013 |
Chaudhury A, Kapadia A, Prakash AV, Barrasso D, Ramachandran R. An extended cell-average technique for a multi-dimensional population balance of granulation describing aggregation and breakage Advanced Powder Technology. 24: 962-971. DOI: 10.1016/J.Apt.2013.01.006 |
0.449 |
|
| 2013 |
Chaudhury A, Niziolek A, Ramachandran R. Multi-dimensional mechanistic modeling of fluid bed granulation processes: An integrated approach Advanced Powder Technology. 24: 113-131. DOI: 10.1016/J.Apt.2012.03.005 |
0.505 |
|
| 2013 |
Sen M, Ramachandran R. A multi-dimensional population balance model approach to continuous powder mixing processes Advanced Powder Technology. 24: 51-59. DOI: 10.1016/J.Apt.2012.02.001 |
0.556 |
|
| 2013 |
Singh R, Ierapetritou M, Ramachandran R. Hybrid advanced control of flexible multipurpose continuous tablet manufacturing process via direct compaction Computer-Aided Chemical Engineering. 32: 757-762. DOI: 10.1016/B978-0-444-63234-0.50127-5 |
0.41 |
|
| 2013 |
Barrasso D, Oka S, Muliadi A, Litster JD, Wassgren C, Ramachandran R. Population balance model validation and predictionof CQAs for Continuous milling processes: Toward QbDin pharmaceutical drug product manufacturing Journal of Pharmaceutical Innovation. 8: 147-162. DOI: 10.1007/S12247-013-9155-0 |
0.541 |
|
| 2013 |
Boukouvala F, Chaudhury A, Sen M, Zhou R, Mioduszewski L, Ierapetritou MG, Ramachandran R. Computer-aided flowsheet simulation of a pharmaceutical tablet manufacturing process incorporating wet granulation Journal of Pharmaceutical Innovation. 8: 11-27. DOI: 10.1007/S12247-012-9143-9 |
0.532 |
|
| 2012 |
Singh R, Ierapetritou M, Ramachandran R. An engineering study on the enhanced control and operation of continuous manufacturing of pharmaceutical tablets via roller compaction. International Journal of Pharmaceutics. 438: 307-26. PMID 22982489 DOI: 10.1016/J.Ijpharm.2012.09.009 |
0.408 |
|
| 2012 |
Boukouvala F, Niotis V, Ramachandran R, Muzzio FJ, Ierapetritou MG. An integrated approach for dynamic flowsheet modeling and sensitivity analysis of a continuous tablet manufacturing process Computers and Chemical Engineering. 42: 30-47. DOI: 10.1016/J.Compchemeng.2012.02.015 |
0.535 |
|
| 2012 |
Ramachandran R, Chaudhury A. Model-based design and control of a continuous drum granulation process Chemical Engineering Research and Design. 90: 1063-1073. DOI: 10.1016/J.Cherd.2011.10.022 |
0.48 |
|
| 2012 |
Barrasso D, Ramachandran R. A comparison of model order reduction techniques for a four-dimensional population balance model describing multi-component wet granulation processes Chemical Engineering Science. 80: 380-392. DOI: 10.1016/J.Ces.2012.06.039 |
0.494 |
|
| 2012 |
Sen M, Singh R, Vanarase A, John J, Ramachandran R. Multi-dimensional population balance modeling and experimental validation of continuous powder mixing processes Chemical Engineering Science. 80: 349-360. DOI: 10.1016/J.Ces.2012.06.024 |
0.564 |
|
| 2012 |
Ramachandran R, Ansari MA, Chaudhury A, Kapadia A, Prakash AV, Stepanek F. A quantitative assessment of the influence of primary particle size polydispersity on granule inhomogeneity Chemical Engineering Science. 71: 104-110. DOI: 10.1016/J.Ces.2011.11.045 |
0.393 |
|
| 2012 |
Boukouvala F, Dubey A, Vanarase A, Ramachandran R, Muzzio FJ, Ierapetritou M. Computational approaches for studying the granular dynamics of continuous blending processes, 2 - Population balance and data-based methods Macromolecular Materials and Engineering. 297: 9-19. DOI: 10.1002/Mame.201100054 |
0.504 |
|
| 2011 |
Schaber SD, Gerogiorgis DI, Ramachandran R, Evans JMB, Barton PI, Trout BL. Economic analysis of integrated continuous and batch pharmaceutical manufacturing: A case study Industrial and Engineering Chemistry Research. 50: 10083-10092. DOI: 10.1021/Ie2006752 |
0.374 |
|
| 2011 |
Boukouvala F, Ramachandran R, Vanarase A, Muzzio FJ, Ierapetritou MG. Computer Aided Design and Analysis of Continuous Pharmaceutical Manufacturing Processes Computer Aided Chemical Engineering. 29: 216-220. DOI: 10.1016/B978-0-444-53711-9.50044-4 |
0.484 |
|
| 2011 |
Ramachandran R. A Multi-scale Systems Approach to Granulation Process Design Computer Aided Chemical Engineering. 29: 91-95. DOI: 10.1016/B978-0-444-53711-9.50019-5 |
0.486 |
|
| 2011 |
Ramachandran R, Arjunan J, Chaudhury A, Ierapetritou MG. Model-based control-loop performance of a continuous direct compaction process Journal of Pharmaceutical Innovation. 6: 249-263. DOI: 10.1007/S12247-011-9118-2 |
0.457 |
|
| 2010 |
Ramachandran R, Barton PI. Effective parameter estimation within a multi-dimensional population balance model framework Chemical Engineering Science. 65: 4884-4893. DOI: 10.1016/J.Ces.2010.05.039 |
0.393 |
|
| 2009 |
Štěpánek F, Rajniak P, Mancinelli C, Chern RT, Ramachandran R. Distribution and accessibility of binder in wet granules Powder Technology. 189: 376-384. DOI: 10.1016/J.Powtec.2008.04.015 |
0.401 |
|
| 2009 |
Glaser T, Sanders CFW, Wang FY, Cameron IT, Litster JD, Poon JMH, Ramachandran R, Immanuel CD, Doyle FJ. Model predictive control of continuous drum granulation Journal of Process Control. 19: 615-622. DOI: 10.1016/J.Jprocont.2008.09.001 |
0.743 |
|
| 2009 |
Ramachandran R, Immanuel CD, Stepanek F, Litster JD, Doyle FJ. A mechanistic model for breakage in population balances of granulation: Theoretical kernel development and experimental validation Chemical Engineering Research and Design. 87: 598-614. DOI: 10.1016/J.Cherd.2008.11.007 |
0.763 |
|
| 2009 |
Poon JMH, Ramachandran R, Sanders CFW, Glaser T, Immanuel CD, Doyle FJ, Litster JD, Stepanek F, Wang FY, Cameron IT. Experimental validation studies on a multi-dimensional and multi-scale population balance model of batch granulation Chemical Engineering Science. 64: 775-786. DOI: 10.1016/J.Ces.2008.08.037 |
0.77 |
|
| 2008 |
Ramachandran R, Poon JMH, Sanders CFW, Glaser T, Immanuel CD, Doyle FJ, Litster JD, Stepanek F, Wang FY, Cameron IT. Experimental studies on distributions of granule size, binder content and porosity in batch drum granulation: Inferences on process modelling requirements and process sensitivities Powder Technology. 188: 89-101. DOI: 10.1016/J.Powtec.2008.04.013 |
0.763 |
|
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