Using Diamond in Advanced Packaging: Current Developments and Status

Virtual: https://events.vtools.ieee.org/m/388160

Joana Mendes will present a detailed background on current status of diamond film development. Artificial diamond films are deposited from a mixture of methane and hydrogen — and the deposition of the material is not an expensive process. However, the integration of diamond films and electronic devices requires the development and optimization of new processing lines, which is a costly procedure. LEDs, for instance, have become low-cost components. Are manufacturers willing to trade the current low cost for higher efficiency/performance and longer lifetime? Specific upcoming possibilities are for HEMT packaging, 5G/6G RF modules in cell phones, and in heterogeneous integration such as for high-power SiP modules. The second talk: Diamond Foundry, Inc. produces CVD single-crystal diamond (SCD) at scale, and recently achieved the historic milestone of the creation of the world’s first 100mm SCD wafer. SCD as heat spreader achieves performance enhancements of 3-6x and temperature reductions of 65C due to its unmatched high isotropic thermal conductivity (2,200W/m-K). Jeroen van Duren will describe the manufacturing of SCD dies and wafers and use for AI and power electronics packaging Speaker(s): Joana Catarina, Jeroen Virtual: https://events.vtools.ieee.org/m/388160

New CMOS-Compatible Materials for Efficient Infrared Light-Absorption and Emission

Bldg: ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road, 810 Kifer Road, Sunnyvale, California, United States, 95051

Quantum Semiconductor has invented atomistically-ordered superlattices made of Group IV elements (C, Si, Ge, Sn, Pb) strained to silicon surfaces, that have direct bandgaps across the infrared spectrum, and that can be monolithically integrated with CMOS. This approach overcomes the limitations of pure silicon devices - sensing light outside the visible range of wavelengths, and light emission. Also, the photon collection process is decoupled from CMOS junction engineering, thereby allowing these devices to track Moore’s Law with each new design generation, as well as use the most advanced substrates for state-of-the-art CMOS such as fully depleted thin-film SOI. This CMOS-compatible technology platform enables innovative new products for IR image sensing, photonics, and AI. Carlos Augusto, Ph.D., is a co-founder and the Chief Technology Officer of Quantum Semiconductor. A prolific inventor, he is responsible for Quantum Semiconductor’s core technology. Dr. Augusto has been in the semiconductor industry for over 25 years. Previously, he was at IMEC in Leuven, Belgium where he was a member of the research staff in the Advanced Silicon Devices Group and worked on the device, process, modeling and fabrication of SiGe Vertical MOSFETs and DRAMs. Agenda: In-Person Meeting. Register: (https://ieee.us6.list-manage.com/track/click?u=4f23d76911d28dcc51bf71bce&id=467218c0a6&e=d63c66b7c5) 11:30am: Networking & Pizza Noon-1PM: Seminar Cost: $4 to $6 Location: EAG Laboratories - (https://www.google.com/maps/search/810+Kifer+Road,+Sunnyvale?entry=gmail&source=g) ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road Bldg: ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road, 810 Kifer Road, Sunnyvale, California, United States, 95051

Probabilistic Computing With p-Bits: Optimization, Machine Learning and Quantum Simulation

1120 Ringwood Ct., San Jose, California, United States, 95131, Virtual: https://events.vtools.ieee.org/m/408332

ABSTACT Probabilistic computing with probabilistic bits (p-bits) has emerged as a promising candidate in physics-inspired computers, offering an energy-efficient approach to probabilistic algorithms and applications In this talk, I will discuss how magnetic p-bits can be combined with conventional CMOS to create hybrid probabilistic-classical computers for various applications such as solving the Boolean satisfiability problem, energy-based generative machine learning models like deep Boltzmann machines, and quantum simulation for investigating many-body quantum systems. I will demonstrate how physics-inspired probabilistic computing can lead to graphics-processing-unit-like success stories for a sustainable future in computing. For a more detailed description see (https://ieeemagnetics.org/presentation/probabilistic-computing-p-bits-optimization-machine-learning-and-quantum-simulation) SPEAKER Kerem Çamsarı received the Ph.D. in Electrical and Computer Engineering from Purdue University in 2015, where he continued as a postdoctoral researcher before becoming Assistant Professor at the Department of Electrical and Computer Engineering at the University of California Santa Barbara in 2020. His doctoral work established a modular approach to connect a growing set of emerging materials and phenomena to circuits and systems, a framework adopted by others. In later work, he used this approach to establish the concept of p-bits and p-circuits as a bridge between classical and quantum circuits to design efficient, domain-specific hardware accelerators for the “beyond-Moore” era of electronics. He is a founding member of the Technical Committee on Quantum, Neuromorphic, and Unconventional Computing within the IEEE Nanotechnology Council where he currently leads the Unconventional Computing section. For his work on probabilistic computing, he has received the IEEE Magnetics Society Early Career Award, a Bell Labs Prize, an Office of Naval Research Young Investigator Award, and a National Science Foundation CAREER award. He is a senior member of the IEEE. Speaker(s): Kerem Camsari Agenda: 6:30 PM - 7:00 PM Networking at Quadrant 7:00 PM - 8:00 PM Lecture with questions at end 1120 Ringwood Ct., San Jose, California, United States, 95131, Virtual: https://events.vtools.ieee.org/m/408332