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
Month: May 2019
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
Bimodality and scaling in recurrence networks from ECG data
Kachhara, S., & Ambika, G. (2019). Bimodality and scaling in recurrence networks from ECG data. EPL, 127(6). DOI: 10.1209/0295-5075/127/60004