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Kumar, Narendra and Rajagopalan, Padmini and Pankajakshan, Praveen and Bhattacharyya, Arnab and Sanyal, Suchismita and Balachandran, Janakiraman and Waghmare, Umesh V (2019) Machine Learning Constrained with Dimensional Analysis and Scaling Laws: Simple, Transferable, and Interpretable Models of Materials from Small Datasets. In: CHEMISTRY OF MATERIALS, 31 (2). pp. 314-321.
Kumar, Narendra and Pradhan, Prabhakar and Jayannavar, AM (1998) Coherently amplifying random medium: Statistics of super-reflection. In: Superlattices and Microstructures, 23 (3-4). pp. 853-857.
Prasad, Raghavendra B and Ramachandran, Hema and Sood, Ajay Kumar and Subramanian, CK and Kumar, Narendra (1997) Lasing in active, sub-mean-free path-sized systems with dense, random, weak scatterers. In: Applied Optics Appl Optic, 36 (30). pp. 7718-7724.
Kumar, Narendra (1988) Hole Pairing In Antiferromagnetically Correlated Layered Oxides. In: Physica C, 153 . pp. 1227-1228.
Mello, Pier A and Pereyra, Pedro and Kumar, Narendra (1988) A soluble random-matrix model for relaxation in quantum systems. In: Journal of Statistical Physics, 51 (1-2). pp. 77-94.
