Research Publications


1 Ameenuddin, M., & Anand, M (2020) A Mixture Theory Model for Blood Combined with Low-Density Lipoprotein Transport to Predict Early Atherosclerosis Regions in Idealized and Patient-Derived Abdominal Aorta. Journal of Biomechanical Engineering, 142(10). https://doi.org/10.1115/1.4047426
2 Mandakini, P., Sowmya, B., Anand, M., & Narasimha, M.(2020) Rheological and Hindered Settling Studies on Bimodal Mixture Based on Multi-size and Multi-density Slurry: Multicomponent Viscosity Model Development. Transactions of the Indian Institute of Metals, 73(8), 2089–2095. https://doi.org/10.1007/s12666-020-01993-x
3 Phukan, M., Anjikar, A., & Iyer, B. V. S.(2020) Effect of grafting density on local dynamics in functionalized polymer-grafted nanoparticle systems. Bulletin of Materials Science, 43(1). https://doi.org/10.1007/s12034-020-02147-x
4 Bharti, V., Gangadharan, A., Rao, T. N., & Sharma, C. S.(2020) Carbon soot over layered sulfur impregnated coconut husk derived carbon: An efficient polysulfide suppressor for lithium sulfur battery. Materials Today Communications, 22. https://doi.org/10.1016/j.mtcomm.2019.100717
5 Chatterjee, K., Pathak, A. D., Lakma, A., Sharma, C. S., Sahu, K. K., & Singh, A. K.(2020) Synthesis, characterization and application of a non-flammable dicationic ionic liquid in lithium-ion battery as electrolyte additive. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-66341-x
6 Gaikwad, M. M., & Sharma, C. S.(2020) In situ graphitized hard carbon xerogel: A promising high-performance anode material for Li-ion batteries. Journal of Materials Research, 35(21), 2989–3003. https://doi.org/10.1557/jmr.2020.293
7 Gangadharan, A., Mamidi, S., Sharma, C. S., & Rao, T. N.(2020) Urea-modified candle soot for enhanced anodic performance for fast-charging lithium-ion battery application. Materials Today Communications, 23. https://doi.org/10.1016/j.mtcomm.2020.100926
8 Gaydhane, M., Choubey, P., Sharma, C. S., & Majumdar, S. (2020) Gelatin nanofiber assisted zero order release of Amphotericin-B: A study with realistic drug loading for oral formulation. Materials Today Communications, 24. https://doi.org/10.1016/j.mtcomm.2020.100953
9 Gaydhane, M. K., Kanuganti, J. S., & Sharma, C. S.(2020) Honey and curcumin loaded multilayered polyvinylalcohol/cellulose acetate electrospun nanofibrous mat for wound healing. Journal of Materials Research, 35(6), 600–609. https://doi.org/10.1557/jmr.2020.52
10 Gupta, A., Pal, P., & Sharma, C. S.(2020) Pyramid textured Si100 surface with low reflectivity in CMOS compatible solution. Micro and Nano Letters, 15(15), 1084–1088. https://doi.org/10.1049/mnl.2020.0330
11 Haridas, A. K., Jyothirmayi, A., Sharma, C. S., & Rao, T. N.(2020) Synergic effect of nanostructuring and excess Mn3+ content in the electrochemical performance of Li4Ti5O12- LiNi0.5Mn1.5O4 Li-ion full-cells. Journal of Materials Research, 35(1), 42–50. https://doi.org/10.1557/jmr.2019.304
12 Illa, M. P., Pathak, A. D., Sharma, C. S., & Khandelwal, M.(2020) Bacterial CellulosePolyaniline Composite Derived Hierarchical Nitrogen-Doped Porous Carbon Nanofibers as Anode for High-Rate Lithium-Ion Batteries. ACS Applied Energy Materials, 3(9), 8676–8687. https://doi.org/10.1021/acsaem.0c01254
13 Mamidi, S., Pathak, A. D., Gangadharan, A., & Sharma, C. S.(2020) Multiscale 3D hybrid carbon microelectrodes with candle soot and reduced GO nanoparticles as binder-free anode: An approach beyond 3D for high rate & high performance Li-ion batteries. Journal of Power Sources, 473. https://doi.org/10.1016/j.jpowsour.2020.228600
14 Mattaparthi, S., & Sharma, C. S.(2020) Mimicking flower petals to fabricate self-cleaning and antireflective polymer surfaces. Bioinspired, Biomimetic and Nanobiomaterials, 9(1), 45– 52. https://doi.org/10.1680/jbibn.19.00017
15 Mitravinda, T., Karthik, M., Anandan, S., Sharma, C. S., & Rao, T. N.(2020) Fabrication of biowaste derived carbon-carbon based electrodes for high-performance supercapacitor applications.Indian Journal of Engineering and Materials Sciences, 27(6), 1080–1090. https://nopr.niscpr.res.in/bitstream/123456789/56414/1/IJEMS%2027(6)%201080-1090.pdf
16 Nathani, A., Rani, P., & Sharma, C. S. (2020) Controlled Architecture of Electrospun Nanofibers and Their Applications. World Scientific Series in Nanoscience and Nanotechnology, 20(2), 303–338. https://doi.org/10.1142/9789811217982_0007
17 Nathani, A., Vishnu, N., & Sharma, C. S.(2020) Review—Pencil Graphite Electrodes as Platform for Enzyme and Enzyme-Like Protein Immobilization for Electrochemical Detection. Journal of the Electrochemical Society, 167(3). https://doi.org/10.1149/2.0202003JES
18 Potphode, D., Saha, S., & Sharma, C. S.(2020) Carbon nanosheets decorated activated carbon derived from borassus flabellifer fruit skin for high performance supercapacitors. Journal of the Electrochemical Society, 167(14). https://doi.org/10.1149/1945-7111/abbfdb
19 Potphode, D., & Sharma, C. S.(2020) Pseudocapacitance induced candle soot derived carbon for high energy density electrochemical supercapacitors: Non-aqueous approach. Journal of Energy Storage, 27. https://doi.org/10.1016/j.est.2019.101114
20 Qi, Y., Nathani, A., Zhang, J., Song, Z., Sharma, C. S., & Varshney, S. K. (2020) Synthesis of amphiphilic poly(ethylene glycol)-block-poly(methyl methacrylate) containing trityl ether acid cleavable junction group and its self-assembly into ordered nanoporous thin films. E-Polymers, 20(1), 111–121. https://doi.org/10.1515/epoly-2020-0013
21 Rani, P., Kumar, K. S., Pathak, A. D., & Sharma, C. S.(2020) Pyrolyzed pencil graphite coated cellulose paper as an interlayer: An effective approach for high-performance lithiumsulfur battery. Applied Surface Science, 533. https://doi.org/10.1016/j.apsusc.2020.147483
22 Sangabathula, O., Potphode, D., & Sharma, C. S. (2020) Morphology-Controlled Molybdenum Disulfide/Candle Soot Carbon Composite for High-Performance Supercapacitor. ChemistrySelect, 5(22), 6809–6817. https://doi.org/10.1002/slct.202001443
23 Sangabathula, O., & Sharma, C. S. (2020) One-pot hydrothermal synthesis of molybdenum nickel sulfide with graphene quantum dots as a novel conductive additive for enhanced supercapacitive performance. Materials Advances, 1(8), 2763–2772. https://doi.org/10.1039/d0ma00593b
24 Vishnu, N., Sharma, C. S., & Senthil Kumar, A. (2020) A low-cost and miniaturized electrochemical cell for low-sample analyses. Microchemical Journal, 159. https://doi.org/10.1016/j.microc.2020.105591
25 Baithy, M., & Shee, D. (2020) Supported Metal Nanoparticles as Heterogeneous Catalysts for Transformation of Biomass-Derived Platform Chemicals. ACS Symposium Series, 1359, 183– 211. https://doi.org/10.1021/bk-2020-1359.ch006
26 Kumar, P., Maity, S. K., & Shee, D. (2020) Hydrodeoxygenation of stearic acid using Mo modified Ni and Co/alumina catalysts: Effect of calcination temperature. Chemical Engineering Communications, 207(7), 904–919. https://doi.org/10.1080/00986445.2019.1630396
27 umari, S., Maity, S., Vannathan, A. A., Shee, D., Das, P. P., & Mal, S. S.(2020) Improved electrochemical performance of graphene oxide supported vanadomanganate (IV) nanohybrid electrode material for supercapacitors.Ceramics International, 46(3), 3028–3035. https://doi.org/10.1016/j.ceramint.2019.10.002
28 Mallesham, B., Raikwar, D., & Shee, D. (2020) The role of catalysis in green synthesis of chemicals for sustainable future. Advanced Functional Solid Catalysts for Biomass Valorization. https://doi.org/10.1016/B978-0-12-820236-4.00001-5
29 Palla, V. C. S., Shee, D., & Maity, S. K. Production of Aromatics from n-Butanol over HZSM-5, H-β, and γ-Al2O3: Role of Silica/Alumina Mole Ratio and Effect of Pressure. ACS Sustainable Chemistry and Engineering, 8(40), 15230–15242. https://doi.org/10.1021/acssuschemeng.0c04888
30 Vannathan, A. A., Maity, S., Kella, T., Shee, D., Das, P. P., & Mal, S. S. In situ vanadophosphomolybdate impregnated into conducting polypyrrole for supercapacitor.Electrochimica Acta, 364. https://doi.org/10.1016/j.electacta.2020.137286
31 Yenumala, S. R., Kumar, P., Maity, S. K., & Shee, D. (2020) Hydrodeoxygenation of karanja oil using ordered mesoporous nickel-alumina composite catalysts. Catalysis Today, 348, 45–54. https://doi.org/10.1016/j.cattod.2019.08.040
32 Agrawal, M., Katiyar, R. K., Karri, B., & Sahu, K. C. (2020) Experimental investigation of a nonspherical water droplet falling in air. Physics of Fluids, 32(11). https://doi.org/10.1063/5.0031642
33 Balla, M., Kavuri, S., Tripathi, M. K., Sahu, K. C., & Govindarajan, R. (2020) Effect of viscosity and density ratios on two drops rising side by side. Physical Review Fluids, 5(1). https://doi.org/10.1103/PhysRevFluids.5.013601
34 Balla, M., Tripathi, M. K., & Sahu, K. C. (2020) A numerical study of a hollow water droplet falling in air. Theoretical and Computational Fluid Dynamics, 34(1–2), 133–144. https://doi.org/10.1007/s00162-020-00517-z
35 Biswas, G., & Sahu, K. C. (2020) Recent Advances in Free Surface Flows. Mechanical Sciences. https://doi.org/10.1007/978-981-15-5712-5_6
36 Gautam, K., Narayana, P. A. L., & Sahu, K. C. (2020) Linear instability driven by an electric field in two-layer channel flow of Newtonian and Herschel–Bulkley fluids. Journal of Non-Newtonian Fluid Mechanics, 285. https://doi.org/10.1016/j.jnnfm.2020.104400
37 Kannan, Y. S., Balusamy, S., Karri, B., & Sahu, K. C. (2020) Effect of viscosity on the volumetric oscillations of a non-equilibrium bubble in free-field and near a free-surface. ExperimentalThermal and Fluid Science,116. https://doi.org/10.1016/j.expthermflusci.2020.110113
38 Kanungo, D. K., & Sahu, K. C. (2020) Numerical simulation of steam flow inside the superheater section of an industrial boiler using a real gas model. Journal of Fluids Engineering, Transactions of the ASME, 142(7). https://doi.org/10.1115/1.4046190
39 Kanungo, D. K., Shrivastava, S. K., Singh, N. K., & Sahu, K. C.(2020) Heat transfer in supercritical steam flowing through spiral tubes. Journal of Heat Transfer, 142(11). https://doi.org/10.1115/1.4047641
40 Katre, P., Gurrala, P., Balusamy, S., Banerjee, S., & Sahu, K. C. (2020) Evaporation of sessile ethanol-water droplets on a critically inclined heated surface.International Journal of Multiphase Flow, 131. https://doi.org/10.1016/j.ijmultiphaseflow.2020.103368
41 Kirar, P. K., Alvarenga, K., Kolhe, P., Biswas, G., & Sahu, K. C. (2020) Coalescence of drops on the free-surface of a liquid pool at elevated temperatures. Physics of Fluids, 32(5). https://doi.org/10.1063/5.0007402
42 Kumar, G., Narayana, P. A. L., & Sahu, K. C. (2020) Linear and nonlinear thermosolutal instabilities in an inclined porous layer. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 476(2233). https://doi.org/10.1098/rspa.2019.0705
43 Kumar, M., Bhardwaj, R., & Sahu, K. C. (2020) Coalescence dynamics of a droplet on a sessile droplet. Physics of Fluids, 32(1). https://doi.org/10.1063/1.5129901
44 Kumar, M., Bhardwaj, R., & Sahu, K. C. (2020) Wetting Dynamics of a Water Droplet on Micropillar Surfaces with Radially Varying Pitches.Langmuir, 36(19), 5312–5323. https://doi.org/10.1021/acs.langmuir.0c00697
45 Murugan, R., Kolhe, P. S., & Sahu, K. C. (2020) A combined experimental and computational study of flow-blurring atomization in a twin-fluid atomizer. European Journal of Mechanics, B/Fluids, 84, 528–541. https://doi.org/10.1016/j.euromechflu.2020.07.008
46 Sahu, K. C. (2020) Linear instability in two-layer channel flow due to double-diffusive phenomenon. Physics of Fluids, 32(2). https://doi.org/10.1063/1.5139487
47 Sahu, K. C., Tripathi, M. K., Chaudhari, J., & Chakraborty, S. (2020) Simulations of a weakly conducting droplet under the influence of an alternating electric field. Electrophoresis, 41(23), 1953–1960. https://doi.org/10.1002/elps.202000174
48 Soni, S. K., Kirar, P. K., Kolhe, P., & Sahu, K. C. (2020) Deformation and breakup of droplets in an oblique continuous air stream. International Journal of Multiphase Flow, 122. https://doi.org/10.1016/j.ijmultiphaseflow.2019.103141
49 Gumte, K. G., & Mitra, K.(2020) Strategic biofuel supply chain network design and techno-economic-environmental analysis for an Indian scenario. IFAC-Papers OnLine, 53(1), 69–74. https://doi.org/10.1016/j.ifacol.2020.06.012
50 Inapakurthi, R. K., Miriyala, S. S., Kolluri, S., & Mitra, K.(2020) Nonlinear Model Predictive Control of Industrial Grinding Circuits using Machine Learning. 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, 1921–1927. https://doi.org/10.1109/SSCI47803.2020.9308181
51 Inapakurthi, R. K., Miriyala, S. S., & Mitra, K. (2020). Modelling of pollutants and particulate matter in air using auto-tuned deep recurrent networks. IFAC-PapersOnLine, 53(1), 530–535. https://doi.org/10.1016/j.ifacol.2020.06.089
52 Inapakurthi, R. K., Miriyala, S. S., & Mitra, K. (2020) Recurrent neural networks-based modelling of industrial grinding operation.Chemical Engineering Science, 219. https://doi.org/10.1016/j.ces.2020.115585
53 lnapakurthi, R. K., Pantula, P. D., Miriyala, S. S., & Mitra, K.(2020) Data driven robust optimization of grinding process under uncertainty.Materials and Manufacturing Processes, 35(16), 1870–1876. https://doi.org/10.1080/10426914.2020.1802042
54 Miriyala, S. S., Banerjee, R., & Mitra, K.(2020) Uncertainty quantification using Autotuned Surrogates of CFD model Simulating Supersonic flow over tactical missile body. 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, 2885–2892. https://doi.org/10.1109/SSCI47803.2020.9308325
55 Miriyala, S. S., Chowdhury, S., Pujari, N. K., & Mitra, K.(2020) Optimally designed Variational Autoencoders for Efficient Wind Characteristics Modelling. 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, 2869–2876. https://doi.org/10.1109/SSCI47803.2020.9308245
56 Miriyala, S. S., & Mitra, K.(2020) Deep learning based system identification of industrial integrated grinding circuits. Powder Technology, 360, 921–936. https://doi.org/10.1016/j.powtec.2019.10.065
57 Miriyala, S. S., & Mitra, K. (2020) Multi-objective optimization of iron ore induration process using optimal neural networks. Materials and Manufacturing Processes, 35(5), 537–544. https://doi.org/10.1080/10426914.2019.1643476
58 Miriyala, S. S., & Mitra, K.(2020) Optimal Control using Evolutionary Algorithms through Neural network based Transformation.2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, 1379–1386. https://doi.org/10.1109/SSCI47803.2020.9308475
59 Mittal, P., & Mitra, K.(2020) In search of flexible and robust wind farm layouts considering wind state uncertainty. Journal of Cleaner Production, 248. https://doi.org/10.1016/j.jclepro.2019.119195
60 Mittal, P., & Mitra, K.(2020) Micrositing under practical constraints addressing the energy-noise-cost trade-off. Wind Energy, 23(10), 1905–1918. https://doi.org/10.1002/we.2525
61 Mittal, P., Mohanty, I., Malik, A., & Mitra, K.(2020) Many-objective optimization of hot-rolling process of steel: A hybrid approach. Materials and Manufacturing Processes, 35(6), 668–676. https://doi.org/10.1080/10426914.2019.1655157
62 Pantula, P. D., Miriyala, S. S., Giri, L., & Mitra, K.(2020) Synchronicity Identification in Hippocampal Neurons using Artificial Neural Network assisted Fuzzy C-means Clustering. 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, 1594–1600. https://doi.org/10.1109/SSCI47803.2020.9308344
63 Pantula, P. D., Miriyala, S. S., & Mitra, K. (2020) An Evolutionary Neuro-Fuzzy C-means Clustering Technique. Engineering Applications of Artificial Intelligence, 89. https://doi.org/10.1016/j.engappai.2019.103435
64 Pantula, P. D., & Mitra, K.(2020) Towards Efficient Robust Optimization using Data based Optimal Segmentation of Uncertain Space. Reliability Engineering and System Safety, 197. https://doi.org/10.1016/j.ress.2020.106821
65 Pujari, K. N., Miriyala, S. S., Mittal, P., & Mitra, K.(2020) Optimal long short term memory networks for long-term forecasting of real wind characteristics. IFACPapersOnLine, 53(1), 648–653. https://doi.org/10.1016/j.ifacol.2020.06.108
66 Pujari, N. K., Miriyala, S. S., & Mitra, K.(2020) Auto-tuned Deep Recurrent Neural Networks for Application in Wind Energy Conversion Systems. 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, 3065–3072. https://doi.org/10.1109/SSCI47803.2020.9308478
67 Singh, R., Sharma, S., Kareenhalli, V. V., Giri, L., & Mitra, K.(2020) Experimental investigation into indole production using passaging of E. coli and B. subtilis along with unstructured modeling and parameter estimation using dynamic optimization: An integrated framework. Biochemical Engineering Journal, 163. https://doi.org/10.1016/j.bej.2020.107743
68 Chel, S., Gare, S., & Giri, L. (2020) Detection of Specific Templates in Calcium Spiking in HeLa Cells Using Hierarchical DBSCAN: Clustering and Visualization of CellDrug Interaction at Multiple Doses. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2020-July, 2425–2428. https://doi.org/10.1109/EMBC44109.2020.9175925
69 Dhyani, V., Gare, S., Gupta, R. K., Swain, S., Venkatesh, K. V., & Giri, L. (2020) GPCR mediated control of calcium dynamics: A systems perspective. Cellular Signalling, 74. https://doi.org/10.1016/j.cellsig.2020.109717
70 Jain, S., Swain, S., Das, L., Swain, S., Giri, L., Kondapi, A. K., & Unni, H. N. (2020) Microfluidic protein imaging platform: Study of tau protein aggregation and 28lzheimer’s drug response. Bioengineering, 7(4), 1–13. https://doi.org/10.3390/bioengineering7040162
71 Pantula, P. D., Miriyala, S. S., Giri, L., & Mitra, K. (2020) Synchronicity Identification in Hippocampal Neurons using Artificial Neural Network assisted Fuzzy C-means Clustering. 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, 1594–1600. https://doi.org/10.1109/SSCI47803.2020.9308344
72 Saxena, A., Dhyani, V., Jana, S., & Giri, L. (2020) Application of kohonen-self organizing map to cluster drug induced ca2+ response in hippocampal neurons at different drug dose. 26th National Conference on Communications, NCC 2020. https://doi.org/10.1109/NCC48643.2020.9056031
73 Saxena, A., Ravutla, S., Upadhyay, V., Jana, S., Murhammer, D., & Giri, L. (2020) Statistical modeling of cell-to-cell variability in viral infection during passaging in suspension cell culture: Application in Monte-Carlo simulation. Biotechnology and Bioengineering, 117(5), 1483–1501. https://doi.org/10.1002/bit.27295
74 Shahulhameed, S., Swain, S., Jana, S., Chhablani, J., Ali, M. J., Pappuru, R. R., Tyagi, M., Vishwakarma, S., Sailaja, N., Chakrabarti, S., Giri, L., & Kaur, I. (2020) A Robust Model System for Retinal Hypoxia: Live Imaging of Calcium Dynamics and Gene Expression Studies in Primary Human Mixed Retinal Culture. Frontiers in Neuroscience, 13. https://doi.org/10.3389/fnins.2019.01445
75 Singh, R., Sharma, S., Kareenhalli, V. V., Giri, L., & Mitra, K. (2020) Experimental investigation into indole production using passaging of E. coli and B. subtilis along with unstructured modeling and parameter estimation using dynamic optimization: An integrated framework. Biochemical Engineering Journal, 163. https://doi.org/10.1016/j.bej.2020.107743
76 Suman, G., Saxena, A., & Giri, L.(2020) Confocal Imaging of Intercellular Calcium in HeLa Cells for Monitoring Drug-Response: Biophysical Framework for Visualization of the Time-Lapse Images. Proceedings - International Symposium on Biomedical Imaging, 2020-April, 1613–1616. https://doi.org/10.1109/ISBI45749.2020.9098697
77 Venkateswarlu, K., Suman, G., Dhyani, V., Swain, S., Giri, L., & Samavedi, S. (2020) Three-dimensional imaging and quantification of real-time cytosolic calcium oscillations in microglial cells cultured on electrospun matrices using laser scanning confocal microscopy. Biotechnology and Bioengineering, 117(10), 3108–3123. https://doi.org/10.1002/bit.27465
78 Mandakini, P., Sowmya, B., Anand, M., & Narasimha, M. (2020) Rheological and Hindered Settling Studies on Bimodal Mixture Based on Multi-size and Multi-density Slurry: Multi-component Viscosity Model Development.Transactions of the Indian Institute of Metals, 73(8), 2089–2095. https://doi.org/10.1007/s12666-020-01993-x
79 Mangadoddy, N., Vakamalla, T. R., Kumar, M., & Mainza, A. (2020) Computational modelling of particle-fluid dynamics in comminution and classification: A review. Mineral Processing and Extractive Metallurgy: Transactions of the Institute of Mining and Metallurgy, 129(2), 145–156. https://doi.org/10.1080/25726641.2019.1708657
80 Padhi, M., Kumar, M., & Mangadoddy, N. (2020) Understanding the Bicomponent Particle Separation Mechanism in a Hydrocyclone Using a Computational Fluid Dynamics Model.Industrial and Engineering Chemistry Research, 59(25), 11621–11644. https://doi.org/10.1021/acs.iecr.9b06747
81 Vadlakonda, B., & Mangadoddy, N.(2020) Measurement of Gas–Solid Dispersion Characteristics in a Slurry Flotation Column Using ERT Technique. Transactions of the Indian Institute of Metals, 73(8), 2129–2140. https://doi.org/10.1007/s12666-020-02019-2
82 Chirathanamettu, T. R., & Pawar, P. D. (2020) Quorum sensing-induced phenotypic switching as a regulatory nutritional stress response in a competitive two-species biofilm: An individual-based cellular automata model. Journal of Biosciences, 45(1). https://doi.org/10.1007/s12038-020-00092-9
83 Kandukuri, K. R., Polisetty, V. G., & Jampana, P. (2020) Modeling and control study of solid oxide fuel cell at low operating pressures. IFAC-PapersOnLine, 53(1), 289–294. https://doi.org/10.1016/j.ifacol.2020.06.049
84 Polisetty, V. G., Kumar Varanasi, S., & Jampana, P.(2020) Convergence of Particle Filter for Output Feedback Control. European Control Conference 2020, ECC 2020, 1745–1750. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090133867&partnerID=40&md5=7740882c496bf4a0adedecf5c81361e0
85 Theertham, G. T., Varanasi, S. K., & Jampana, P. (2020) Sparsity constrained reconstruction for electrical impedance tomography. IFAC-PapersOnLine, 53(2), 355–360. https://doi.org/10.1016/j.ifacol.2020.12.185
86 Varanasi, S. K., & Jampana, P. (2020) Nuclear norm subspace identification of continuous time state–space models with missing outputs.Control Engineering Practice, 95. https://doi.org/10.1016/j.conengprac.2019.104239
87 Jaramillo-Cabanzo, D. F., Ajayi, B. P., Meduri, P., & Sunkara, M. K. (2020) One-dimensional nanomaterials in lithium-ion batteries. Journal of Physics D: Applied Physics, 54(8). https://doi.org/10.1088/1361-6463/abc3eb
88 Pulipaka, S., Boni, N., & Meduri, P.(2020) Copper Vanadate (Cu3V2O8): (Mo, W) Doping Insights to Enhance Performance as an Anode for Photoelectrochemical Water Splitting. ACS Applied Energy Materials, 3(7), 6060–6064. https://doi.org/10.1021/acsaem.0c00780
89 Pulipaka, S., Boni, N., Ummethala, G., & Meduri, P. (2020) CuO/CuBi2O4 heterojunction photocathode: High stability and current densities for solar water splitting. Journal of Catalysis, 387, 17–27. https://doi.org/10.1016/j.jcat.2020.04.001
90 Velpandian, M., Pulipaka, S., Tikoo, A., & Meduri, P. (2020) Improved charge carrier dynamics of WS2nanostructures by the way of CdS@WS2heterostructures for use in water splitting and water purification.Sustainable Energy and Fuels, 4(8), 4096–4107. https://doi.org/10.1039/d0se00533a
91 Dudekula, U. T., Doriya, K., & Devarai, S. K. (2020) A critical review on submerged production of mushroom and their bioactive metabolites. 3 Biotech, 10(8). https://doi.org/10.1007/s13205-020-02333-y
92 Mandari, V., Nema, A., & Devarai, S. K. (2020) Sequential optimization and large scale production of lipase using tri-substrate mixture from Aspergillus niger MTCC 872 by solid statefermentation.ProcessBiochemistry,89,46–54. https://doi.org/10.1016/j.procbio.2019.10.026
93 Gaydhane, M., Choubey, P., Sharma, C. S., & Majumdar, S. (2020) Gelatin nanofiber assisted zero order release of Amphotericin-B: A study with realistic drug loading for oral formulation. Materials Today Communications, 24. https://doi.org/10.1016/j.mtcomm.2020.100953
94 Mitra, S., Pasupalak, A., Majumdar, S., & Bandyopadhyay, D. (2020) A computational study on osmotic chemotaxis of a reactive Janusbot. Physics of Fluids, 32(11). https://doi.org/10.1063/5.0025816
95 Samavedi, S., & Joy, N. (2020) Identifying specific combinations of matrix properties that promote controlled and sustained release of a hydrophobic drug from electrospun meshes. ACS Omega, 5(26), 15865–15876. https://doi.org/10.1021/acsomega.0c00954
96 Venkateswarlu, K., Suman, G., Dhyani, V., Swain, S., Giri, L., & Samavedi, S. (2020) Three-dimensional imaging and quantification of real-time cytosolic calcium oscillations in microglial cells cultured on electrospun matrices using laser scanning confocal microscopy. Biotechnology and Bioengineering, 117(10), 3108–3123. https://doi.org/10.1002/bit.27465
97 Khan, T. S., Gupta, S., Ahmad, M., Alam, M. I., & Haider, M. A. (2020) Effect of substituents and promoters on the Diels-Alder cycloaddition reaction in the biorenewable synthesis of trimellitic acid. RSC Advances, 10(51), 30656–30670. https://doi.org/10.1039/d0ra04318d
98 Duraiswamy, S., & Yung, L. Y. L. (2020) Effect of dean flows on sub-micron particles in low aspect ratio microchannels—Analysis of dff. MicroTAS 2020 - 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences, 242–243.
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098283943&partnerID=40&md5=f3006c08ea4f4eccc36c8ef46ba3854c
99 Duraiswamy, S., Yung, L. Y. L., & Chen, S. L. (2020) Spiral microfluidics enhanced isolation of epithelial cells from infected mice urine. MicroTAS 2020 - 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences, 755–756.
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098276669&partnerID=40&md5=ed01061e92a842c3f1f6432f57faaf87
100 Kumar, P., Maity, S. K., & Shee, D. (2020) Hydrodeoxygenation of stearic acid using Mo modified Ni and Co/alumina catalysts: Effect of calcination temperature. Chemical Engineering Communications, 207(7), 904–919. https://doi.org/10.1080/00986445.2019.1630396
101 Mailaram, S., Kumar, P., Kunamalla, A., Saklecha, P., & Maity, S. K. (2020) Biomass, biorefinery, and biofuels. Sustainable Fuel Technologies Handbook.
https://doi.org/10.1016/B978-0-12-822989-7.00003-2
102 Mailaram, S., Kumar, P., & Maity, S. K.(2020) Biofuels from triglycerides: Areview. Triglycerides: An Overview.
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146193807&partnerID=40&md5=5b371286b68c2f4e0c661dc260b0294d
103 Palla, V. C. S., Shee, D., & Maity, S. K. (2020) Production of Aromatics from n-Butanol over HZSM-5, H-β, and γ-Al2O3: Role of Silica/Alumina Mole Ratio and Effect of Pressure. ACS Sustainable Chemistry and Engineering, 8(40), 15230–15242. https://doi.org/10.1021/acssuschemeng.0c04888
104 Yenumala, S. R., Kumar, P., Maity, S. K., & Shee, D. (2020) Hydrodeoxygenation of karanja oil using ordered mesoporous nickel-alumina composite catalysts. Catalysis Today, 348, 45–54. https://doi.org/10.1016/j.cattod.2019.08.040
105 Ponugoti, P. V., & Janardhanan, V. M. (2020) Mechanistic kinetic model for biogas dry reforming. Industrial and Engineering Chemistry Research, 59(33), 14737–14746. https://doi.org/10.1021/acs.iecr.0c02433 /td>