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Subramanian K. R. S. Sankaranarayanan is a leading researcher at the intersection of complex oxides, neuromorphic computing, and autonomous materials discovery. His work centers on harnessing the unique properties of correlated electron systems—particularly vanadium dioxide (VO₂)—for brain-inspired computing and adaptive devices. Sankaranarayanan’s major contributions include pioneering the use of symbolic regression to precisely model and control the metal–insulator transition temperature in doped VO₂, a critical parameter for applications ranging from thermochromic windows to neuromorphic actuators. His highly cited review, "Complex Oxides for Brain‐Inspired Computing" (2022, 65 citations), has become a foundational resource for researchers exploring oxide-based artificial synapses and neurons. More recently, he has advanced the field of autonomous materials synthesis, demonstrating inverse design and high-throughput experimentation for electrochromic polymers (2025). His work exemplifies how machine learning and physics-based modeling can accelerate the discovery of functional materials. With a growing citation impact and a portfolio spanning theory, simulation, and autonomous experimentation, Sankaranarayanan is shaping the future of adaptive and intelligent materials systems.