Our Areas of Interest
We incorporate our devices into microsystems enabling new functionality in health/edge IoT.
We invent new devices or improve existing concepts leading to breakthroughs in performance for edge devices.
We optimize the properties of emerging active materials and develop nanofabrication techniques for forming devices.
Our Main Projects
RF Acoustics: Emerging radio frequency (RF) applications require small resonators operating beyond 3 GHz to enable filters with wider bandwidths (driven by resonator electromechanical coupling, kt^2), low loss (driven by high acoustic quality factor, Q) and high power handling. Existing approaches to acoustic RF resonators with the desired properties for wide bandwidth do not easily scale to higher frequencies. Therefore, our group utilizes a new piezoelectric material, Aluminum Scandium Nitride (AlScN), for the implementation of bulk acoustic wave resonators (BAW), surface acoustic wave resonators (SAW), and Lamb wave resonators (LWR). Previous studies have shown that by alloying Aluminum Nitride (AlN) with Sc atoms, the piezoelectric coefficients of AlScN can reach a value five times larger than that of AlN. We also investigate novel material structures, such as periodically poled piezoelectric films (P3F), that enable scaling of acoustic devices to much higher frequencies. Our research facilitates the development of high frequency radio frequency filters and signal processors with wide bandwidth and low insertion loss.
Tunable RF Filters: In modern RF systems the highest performance filters are formed from acoustic resonators, which are not frequency tunable, requiring a large array of switched filters that grows with every generation. Our lab is researching high-Q magnetostatic wave (MSW) resonators and filters realized in micromachined yttrium iron garnet (YIG). MSW velocity is tunable with applied magnetic field, allowing frequency tuning of small YIG cavities. We explore novel tunable filter architectures enable by MSW resonators and methods to achieve extremely wide tuning range while maintaining high performance.
Contacts: Zichen Tang, Xingyu Du, Adzo Fiagbenu, Xu Zhao, Shun Yao, Ella Klein, Xiaolei Tong, Dr. Pedram Yousefian, Dr. Muhhamad Zubair Aslam
Collaborators: Sandia National Laboratories, Akoustis Technologies, and Professor Firooz Aflatouni.
Transmission electron microscopy image of a 5 nm AlScN material
Measured Hysteresis Loop of the 20 nm thick AlScN
Ferroelectric based non-volatile memory has demonstrated advantageous features including low write energy, fast switching speed, and long endurance. However, for ferroelectric random access memory (FeRAM), the bit density is limited primarily by the remanent polarization (Pr) because the sense charge is the product of the Pr times the ferroelectric (FE) capacitor area. The bit density of a ferroelectric field-effect transistor (FeFET) is generally determined by the coercive field (Ec), with higher coercive field leading to thinner FE layers that can be patterned into smaller features while maintaining a wide memory window. Our group researches a newly found ferroelectric material, AlScN for the next generation of ferroelectric memory. We synthesize high quality sub-20 nm AlScN thin films, and thus enable ferroelectric memory with a low write voltage, a large remanent polarization, and a significant breakdown field to coercive field ratio. Moreover, the AlScN dielectric is able to be deposited on to a variety of substrates at temperatures below 350 °C, making the fabrication process compatible with back end of the line CMOS integration. We also explore the use of AlScN for memory in extreme environments.
Contacts: Yinuo Zhang, Dr. Dhiren K. Pradhan, Dr. Hyunmin Cho
Collaborators: Professor Deep Jariwala and Professor Eric Stach.
P. Gharavi, R. H. Olsson, and E. Stach, “Interfacial Origins of Electrical Breakdown Strength Enhancement in AlScN through Multilayer Structure,” Microscopy and Microanalysis, vol. 30, no. Supplement_1, Jul. 2024.
The human body produces magnetic fields anywhere an electric current is present, including the heart, brain, nerves, and muscles. Multiferroic materials provide a unique way to sense these tiny magnetic fields, providing high sensitivity, lower power, and small size. In these heterostructures, a magnetostrictive material strains in response to magnetic field, which is coupled to the piezoelectric material, producing output charge in response to the magnetically induced strain. In our group, AlScN is employed in resonant multiferroics structures along with a variety of magnetostrictive materials. Our studies have greatly enhanced the quality factor and the electromechanical coupling of resonant multiferroic structures. Additionally, similar multiferroic devices can be used for implantable or wearable wireless power transfer, where an external magnetic field can provide the power necessary for the sensors and circuits to operate in biomedical IoT applications. In addition, we explore novel, low power circuit interfaces for the multiferroic devices.
Contacts: Sydney Sofronici, Jonathan Tan, Serene Feng
Collaborators: Professor Mark Allen and US Navy Research Laboratories.
Precision agriculture systems enabled by internet of things (IoT) technologies, through high spatial resolution monitoring of field conditions, can facilitate more efficient deployment of agriculture resources. Such systems require sensors that can provide information about the condition of the soil, including moisture and nutrient levels. Sensors that are biodegradable and inexpensive are key to enabling scalable IoT systems for agriculture. Our group is focused on developing passive wireless subsurface soil sensors. High-performance resonators are critical in passive capacitive sensors. The maximal frequency shift of the system is directly proportional to the electromechanical coupling coefficient of the LWR, while sensor sensitivity (or minimum detectable frequency shift) improves with quality factor. We use AlScN to design and implement such Lamb-wave resonators (LWR). Our research also focuses on antenna and sensor designs compatible with biodegradable materials and low-cost high-throughput fabrication technologies. The implementation of time-domain gating-based interrogation of the sensor nodes is also under investigation.
Contacts: Anne-Marie Zaccarin, Serene Feng
Collaborators: The Internet of Things for Precision Agriculture, an NSF Engineering Research Center