News
Navya creates 6G transistors
Published: 2023-09-18
Name: Navya Sri Garigapati Date of dissertation: 27-09-2023 Title of thesis: Radio Frequency InGaAs MOSFETs Link to thesis:
https://portal.research.lu.se/en/publications/radio-frequency-ingaas-mosfets
Describe your research in...
Name: Navya Sri Garigapati
Date of dissertation: 27-09-2023
Title of thesis: Radio Frequency InGaAs MOSFETs
Link to thesis:
https://portal.research.lu.se/en/publications/radio-frequency-ingaas-mosfets
Describe your research in a popular science way
Transistors are the key component of today's modern wireless world; for example, their superior performance enables users to stream their favorite movies anytime and everywhere. 6G cellular networks will be introduced at the earliest by the end of this decade, and to meet these high data rates, transistors' operating frequency should be increased to a few 100's of GHz. Achieving these challenging targets with the current industry standard Si transistor technology is difficult, and the need to search for new device material and transistor design is rising. In my Ph.D., a particular transistor type, i.e., field effect transistors (FETs) made of high-electron mobility channel material, are designed and fabricated, and their high-frequency performance limits are studied.
What made you want to pursue a PhD?
Curiosity and desire to advance knowledge and expertise in the field of Nanoelectronics, especially transistor design and technology, were the reasons to become a Doctoral student.
What is the most fascinating or interesting with your thesis subject?
Radio frequency InGaAs MOSFETs (Metal-Oxide-Semiconductor Field-Effect Transistors) are fascinating to study because of their excellent device physics and design and fabrication challenges. If these transistors perform as they should, they will easily outperform Si RF CMOS.
Do you believe some results from your research will be applied in practice eventually? And if so, how / how?
Attempts to integrate III-V transistor technology with Si CMOS have been ongoing, allowing the industry to leverage the advantages of two different device technologies. The presented transistor designs are promising candidates to replace the Si RF CMOS front-end receiver due to their low noise and better high-frequency performance.
What are your plans?
I will work as an industrial postdoc at Hexagem, here in Lund. My research is focused on GaN FinFETs for high-power and high-frequency applications. The experience and knowledge I gained during my Ph.D. would greatly benefit the next step of my research career.
Link to the article Navya creates 6G transistors
Saketh designs compute-in-memory
Published: 2023-08-24
Saketh Ram Mamidala defends his thisis Friday, September 1st in lecture hall E:B, 09:15. Zoom link: https://lu-se.zoom.us/s/64202896244 Zoom ID: 64202896244.
External link to...
Saketh Ram Mamidala defends his thisis Friday, September 1st in lecture hall E:B, 09:15.
Zoom link: https://lu-se.zoom.us/s/64202896244 Zoom ID: 64202896244.
External link to thesis:
https://portal.research.lu.se/en/publications/vertical-iii-v-nanowires-for-in-memory-computing
Describe your research in a popular science way.
Answers to complex engineering problems are often found by simply turning to nature. The blade shape of a wind turbine was inspired by the ridges on the pectoral fins of a humpback whale and automobile windshields were inspired by the design of a spider?s web to prevent shattering. When it comes to computing, a natural comparison drawn is with the biological brain. We know that computers for a given problem, are far superior in terms of calculation speed and precision, but are they energy-efficient? With the rise of artificial intelligence (AI) and data-hungry machine learning, the energy demand on the present computing systems is only increasing.
The fundamental units that build a computer are the processor and memory. The traditional computers we use today are based on the von Neumann architecture, where the memory and processor units are separate. The physical separation poses a severe constraint on further development as the data needs to be constantly shuttled between the two units and is termed the von Neumann bottleneck. The biological brain, on the other hand, can process and store information, making it extremely energy-efficient. In this work, we propose a solution for achieving compute-in-memory in a 3D geometry using vertical nanowires.
What made you want to pursue a PhD?
Honestly, I went with the flow after my master?s. But now, as I reach the end of my Ph.D, I can safely say that if I could go back in time, I'd choose to do a Ph.D again.
Do you believe some results from your research will be applied in practice eventually? And if so, how / how?
The industry has expressed concerns about achieving scalability in both geometry and supply voltage for integrating 1-transistor-1-resistor (1T1R) devices in crossbar arrays. In this thesis, we present a potential solution that addresses these concerns. It is difficult to predict if it will be used in practice, but it is satisfying enough to know that our work is timely and may be used in some form in the future.
What are your plans?
I'll be continuing my research journey as a postdoctoral researcher at IBM-Research in Zurich, Switzerland. My primary focus will be on delving deeper into the field of neuromorphic computing. I look forward to applying the knowledge I've gained here at Lund and learning new things along the way!
Link to the article Saketh designs compute-in-memory
EIT students won design contest
Published: 2023-08-14
Elias Björk, Linus von Ekensteen Löfgren, Ben Nel and Oskar Watsfeldt have, supervised by Johan Lundgren, won the IEEE AP-S Student Design Contest within reconfigurable intelligent surfaces (RIS). Read more here:
External link to...
Elias Björk, Linus von Ekensteen Löfgren, Ben Nel and Oskar Watsfeldt have, supervised by Johan Lundgren, won the IEEE AP-S Student Design Contest within reconfigurable intelligent surfaces (RIS).
Read more here:
External link to the conference hompage.
Link to the article EIT students won design contest
Mattias Borg lands SSF Industry PhD project
Published: 2023-08-14
Mattias Borg, Associate Professor in Nanoelectronics, and Henrik Sjöland, specialist in analog circuit design, Ericsson, have started a five-year industry-PhD project in part financed by The Swedish Foundation for Strategic Research (SSF). The goal...
Mattias Borg, Associate Professor in Nanoelectronics, and Henrik Sjöland, specialist in analog circuit design, Ericsson, have started a five-year industry-PhD project in part financed by The Swedish Foundation for Strategic Research (SSF). The goal is to develop a hardware model of the human brain. Read more on page 47 here:
External link to news (Swedish).
Link to the article Mattias Borg lands SSF Industry PhD project
