Nikil Thalanki

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About

Nikil Thalanki is a pioneering researcher at the intersection of artificial intelligence and materials science, with a primary focus on developing self-driving laboratories for accelerated materials discovery. His most notable contribution is the creation of an AI-driven robotic platform that autonomously synthesizes and characterizes metal halide perovskites under humid atmospheric conditions, a breakthrough that enables real-time prediction of synthesis-property relationships. This work, published in 2025 and already garnering 11 citations, demonstrates how Materials Acceleration Platforms (MAPs) can revolutionize the traditional trial-and-error approach by achieving order-of-magnitude faster discovery cycles. Thalanki’s research addresses critical challenges in perovskite stability and scalability, offering a blueprint for autonomous experimentation in humid environments—a key hurdle for real-world deployment. His innovative integration of robotics, machine learning, and materials chemistry has positioned him as a rising leader in the MAPs field, with his work serving as a foundational reference for next-generation self-driving laboratories. By bridging computational prediction with physical synthesis, Thalanki is helping to usher in a new era where AI-driven robots can rapidly navigate complex materials spaces, promising transformative impacts on renewable energy and optoelectronics.