Category: Physics

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

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

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

George, S. V., Misra, R., & Ambika, G. (2019). Classification of close binary stars using recurrence networks. Chaos, 29(11). DOI: 10.1063/1.5120739

Appleby, S., Chingangbam, P., Park, C., Yogendran, K. P. et al. (2018). Minkowski tensors in three dimensions: Probing the anisotropy generated by redshift space distortion. Astrophysical Journal, 863(2). DOI: 10.3847/1538-4357/aacf8c

Raju, T. S., & Pal, R. (2018). Nonlinear tunneling of bright and dark rogue waves in combined nonlinear Schrodinger and Maxwell-Bloch systems. Journal of Modern Optics, 65(9), 1111-1120. DOI: 10.1080/09500340.2018.1425494

Mampallil, D., & Eral, H. B. (2018). A review on suppression and utilization of the coffee-ring effect. Advances in Colloid and Interface Science, 252. 38-54. DOI: 10.1016/j.cis.2017.12.008

Cui, J., Mathwig, K., Mampallil, D. et al. (2018). Potential-controlled adsorption, separation, and detection of Redox Species in nanofluidic devices. Analytical Chemistry, 90(12), 7127-7130. DOI: 10.1021/acs.analchem.8b01719

Mampallil, D., Sharma, M., Sen, A., & Sinha, S. (2018). Beyond the coffee-ring effect: Pattern formation by wetting and spreading of drops. Physical Review E, 98(4). DOI: 10.1103/PhysRevE.98.043107

Dutta, S., Mondal, S., Joshi, S., Jose, J. et al. (2018). Optical photometric variable stars towards the Galactic HII region NGC2282. Monthly Notices of the Royal Astronomical Society, 476(2), 2813-2824. DOI: 10.1093/mnras/sty329