Search Results - seyed+reza+amini+niaki

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Battery Thermal Runaway Early Warning via Minimal-Frequency Electrochemical Impedance and Machine Learning
This technology provides an early warning system to predict and detect thermal runaway in rechargeable batteries. This system performs minimal-frequency electrochemical impedance spectroscopy (EIS) and then uses a physics-informed machine learning algorithm to process the data and detect thermal runaway before it escalates. The use of machine learning...
Published: 12/8/2025   |   Inventor(s): Vitaliy Yurkiv, Seyed Reza Amini Niaki
Keywords(s):  
Category(s): Technology Classifications > Engineering & Physical Sciences > Electronics, Technology Classifications > Software & Information Technology, Technology Classifications > Energy, Cleantech & Environmental > Energy Collection, Storage & Battery
Efficient Decoding Algorithms for Reed-Muller Codes, Recursive Projection-Aggregation and List-Decoding
Efficient Decoding Algorithms for Reed-Muller Codes, Recursive Projection-Aggregation and List-Decoding Princeton Docket # 19-3543-1 Reed-Muller (RM) codes are among the oldest families of error-correcting codes. Compared to polar codes, RM codes have the advantage of having a simple and universal code construction, though RM codes do not yet possess...
Published: 4/10/2025   |   Inventor(s): Min Ye, Emmanuel Abbe
Keywords(s):  
Category(s): Computer Science and Information Technology