340 citations · 551 across the 5 of their papers we have counts for
5 papers
Introducing flexible perovskites to the IoT world using photovoltaic-powered wireless tags
Sai Nithin Reddy Kantareddy, Rahul Bhattacharya, Sanjay E. Sarma +6
Billions of everyday objects could become part of the Internet of Things (IoT) by augmentation with low-cost, long-range, maintenance-free wireless sensors. Radio Frequency Identif…
Discovering Equations that Govern Experimental Materials Stability under Environmental Stress using Scientific Machine Learning
Richa Ramesh Naik, Armi Tiihonen, Janak Thapa +4
While machine learning (ML) in experimental research has demonstrated impressive predictive capabilities, inductive reasoning and knowledge extraction remain elusive tasks, in part…
Perovskite PV-powered RFID: enabling low-cost self-powered IoT sensors
Sai Nithin R. Kantareddy, Ian Mathews, Shijing Sun +6
Photovoltaic (PV) cells have the potential to serve as on-board power sources for low-power IoT devices. Here, we explore the use of perovskite solar cells to power Radio Frequency…
Self-powered sensors enabled by wide-bandgap perovskite indoor photovoltaic cells
Ian Mathews, Sai Nithin Reddy Kantareddy, Shijing Sun +7
We present a new approach to ubiquitous sensing for indoor applications, using high-efficiency and low-cost indoor perovksite photovoltaic cells as external power sources for backs…
Accelerating Photovoltaic Materials Development via High-Throughput Experiments and Machine-Learning-Assisted Diagnosis
Shijing Sun, Noor T. P. Hartono, Zekun D. Ren +15
Accelerating the experimental cycle for new materials development is vital for addressing the grand energy challenges of the 21st century. We fabricate and characterize 75 unique h…