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Author: Divya Perla
All ternary metal selenide nanostructures for high energy flexible charge storage devices
Balamurugan, J., Nguyen, T. T., Aravindan, V. et al. (2019). All ternary metal selenide nanostructures for high energy flexible charge storage devices. Nano Energy, 65. DOI: 10.1016/j.nanoen.2019.103999
Stibium: A promising electrode toward building high-performance Na-ion full-cells
Subramanyan, K., & Aravindan, V. (2019). Stibium: A promising electrode toward building high-performance Na-ion full-cells. Chem, 5(12), 3096-3126. DOI: 10.1016/j.chempr.2019.08.007
Efficient bifunctional catalytic activity of nanoscopic Pd-decorated La0.6Sr0.4CoO3-d perovskite toward Li-O2 battery, oxygen reduction, and oxygen evolution reactions
Oh, M. Y., Lee, J. J., Park, H. S., … Aravindan, V. et al. (2019). Efficient bifunctional catalytic activity of nanoscopic Pd-decorated La0.6Sr0.4CoO3-d perovskite toward Li-O2 battery, oxygen reduction, and oxygen evolution reactions. Journal of Industrial and Engineering Chemistry, 80, 686-695. DOI: 10.1016/j.jiec.2019.08.045
Link deletion in directed complex networks
Kashyap, G., & Ambika, G. (2019). Link deletion in directed complex networks. Physica A: Statistical Mechanics and its Applications, 514, 631-643. DOI: 10.1016/j.physa.2018.09.156
Weighted recurrence networks for the analysis of time-series data
Jacob, R., Harikrishnan, K. P., Misra, R., & Ambika, G. (2019). Weighted recurrence networks for the analysis of time-series data. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 475(2221). DOI: 10.1098/rspa.2018.0256
Role of time scales and topology on the dynamics of complex networks
Gupta, K., & Ambika, G. (2019). Role of time scales and topology on the dynamics of complex networks. Chaos, 29(3). DOI: 10.1063/1.5063753
Frequency locking and travelling burst sequences in community structured network of inhibitory neurons with differing time-scales
Mozumdar, K., & Ambika, G. (2019). Frequency locking and travelling burst sequences in community structured network of inhibitory neurons with differing time-scales. Communications in Nonlinear Science and Numerical Simulation, 69, 320-328. DOI: 10.1016/j.cnsns.2018.09.026
Synapse loss and progress of Alzheimer’s disease – A network model
Kashyap, G., Bapat, D., Das, D., … & Ambika, G. (2019). Synapse loss and progress of Alzheimer’s disease – A network model. Scientific Reports, 9(1). DOI: 10.1038/s41598-019-43076-y
Quantifying information loss on chaotic attractors through recurrence networks
Harikrishnan, K. P., Misra, R., & Ambika, G. (2019). Quantifying information loss on chaotic attractors through recurrence networks. Physics Letters A, 383(27). DOI: 10.1016/j.physleta.2019.125854