MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641073829 A) filed by Madhankumar C; Dr. Resmi R; Dr. Pramod P; Dr. Sajan Jerome; Dr. Anu Babu; Dr. Baiju P. S; and Dr. Anil Kumar E. N on June 15, 2026, for Hybrid Piezoelectric-Electrostatic Rf Mems Resonator With Active Thermoelastic Damping Suppression And Frequency Reconfigurability.
Inventors include Dr. Resmi R; Dr. Pramod P; Dr. Sajan Jerome; Dr. Anu Babu; Dr. Baiju P. S; and Dr. Anil Kumar E. N.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: Hybrid Piezoelectric-Electrostatic RF MEMS Resonator with Active Thermoelastic Damping Suppression and Frequency Reconfigurability Abstract The rapid evolution of next-generation wireless communication systems, Internet of Things (IoT) devices, and adaptive sensing platforms demands radio frequency (RF) microelectromechanical systems (MEMS) resonators that offer high quality factors, low power consumption, enhanced frequency stability, and dynamic reconfigurability. Conventional RF MEMS resonators often suffer from thermoelastic damping (TED), frequency drift, and limited tuning capabilities, which reduce their performance in demanding real-time applications. This paper presents a novel Hybrid Piezoelectric-Electrostatic RF MEMS Resonator with Active Thermoelastic Damping Suppression and Frequency Reconfigurability, designed to achieve superior resonant performance and adaptive frequency control. The proposed architecture integrates piezoelectric actuation for efficient energy conversion with electrostatic tuning mechanisms for precise frequency adjustment. An active thermoelastic damping suppression module continuously monitors thermal stress variations and dynamically compensates for energy dissipation through an intelligent feedback control system. The resonator employs a multilayer microbeam structure incorporating advanced piezoelectric materials and optimized electrode configurations to enhance electromechanical coupling while minimizing thermal-induced losses. A machine learning-assisted adaptive control unit predicts damping behavior under varying environmental conditions and adjusts actuation parameters in real time to maintain resonance stability. Furthermore, the electrostatic tuning network enables wide-range frequency reconfiguration without compromising quality factor or signal integrity. Finite element modeling, multiphysics simulations, and experimental validation demonstrate significant improvements in quality factor, frequency stability, energy efficiency, and tuning range compared to conventional RF MEMS resonators. Results indicate that the proposed system achieves substantial thermoelastic damping reduction, enhanced resonance consistency across varying temperatures, and rapid frequency switching suitable for multi-band communication applications. The integration of active damping suppression and frequency reconfigurability establishes a new paradigm for intelligent RF MEMS resonator design. The proposed device is highly suitable for emerging applications including 6G communication systems, cognitive radio networks, software-defined wireless platforms, aerospace communication modules, and advanced sensor networks requiring adaptive and energy-efficient resonant components. Keywords: RF MEMS Resonator, Piezoelectric Actuation, Electrostatic Tuning, Thermoelastic Damping Suppression, Frequency Reconfigurability, Adaptive Resonance Control, Quality Factor Enhancement, Intelligent MEMS Systems, 6G Communication, Cognitive Radio Networks.
Disclaimer: Curated by HT Syndication.
