tag: Lawrence Berkeley National Laboratory

Research Bits: Oct. 18
By Jesse Allen - 18 Oct, 2022 - Comments: 0

Modular AI chip Engineers at the Massachusetts Institute of Technology (MIT), Harvard University, Stanford University, Lawrence Berkeley National Laboratory, Korea Institute of Science and Technology, and Tsinghua University created a modular approach to building stackable, reconfigurable AI chips. The design comprises alternating layers of sensing and processing elements, along with LEDs t... » read more

Research Bits: Oct. 4
By Jesse Allen - 04 Oct, 2022 - Comments: 0

2D electrode for ultra-thin semiconductors Researchers from the Korea Institute of Science and Technology (KIST), Japan's National Institute for Materials Science, and Kunsan National University designed two-dimensional semiconductor-based electronic and logic devices, with electrical properties that can be selectively controlled through a new 2D electrode material, chlorine-doped tin diseleni... » read more

Research Bits: Aug. 23
By Jesse Allen - 23 Aug, 2022 - Comments: 0

Algae-powered microprocessor Engineers from the University of Cambridge, Arm Research, Scottish Association for Marine Science, and Norwegian University of Science and Technology used a widespread species of blue-green algae to power an Arm Cortex M0+ microprocessor continuously for over a year. The algae, Synechocystis, is non-toxic and harvests energy from photosynthesis. The tiny electri... » read more

Research Bits: July 26
By Jesse Allen - 26 Jul, 2022 - Comments: 0

Photonic computing with polarization Researchers at the University of Oxford and University of Exeter developed a method that uses the polarization of light to maximize information storage density and computing performance using nanowires. The researchers note that different polarizations of light do not interact with each other, allowing each to be used as an independent information channe... » read more

Technical Paper Round-up: June 14
By Linda Christensen - 14 Jun, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=33 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit f... » read more

Deep Learning Applications For Material Sciences: Methods, Recent Developments
By Technical Paper Link - 10 Jun, 2022 - Comments: 0

New technical paper titled "Recent advances and applications of deep learning methods in materials science" from researchers at NIST, UCSD, Lawrence Berkeley National Laboratory, Carnegie Mellon University, Northwestern University, and Columbia University. Abstract "Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning... » read more

Research Bits: May 9
By Jesse Allen - 09 May, 2022 - Comments: 0

Optical oscilloscope Researchers from the University of Central Florida developed an optical oscilloscope to measure the electric field of light. The high speed at which light oscillates has made reading its electric field challenging, with current instruments able to resolve an average signal associated with a pulse of light rather than individual peaks and valleys within the pulse. “... » read more

Quantitative Study Of Quantum Phase Transitions Key To High-Temp Superconductivity (Lawrence Berkeley Nat’l Lab )
By Technical Paper Link - 04 Apr, 2022 - Comments: 0

New technical paper "Evidence for a delocalization quantum phase transition without symmetry breaking in CeCoIn5"  led by Lawrence Berkeley National Laboratory in collaboration with UC Berkeley. “The hope is that our work may lead to a better understanding of superconductivity, which could find applications in next-gen energy storage, supercomputing, and magnetic levitation trains,” said f... » read more

QubiC: An Open-Source FPGA-Based Control and Measurement System for Superconducting Quantum Information Processors
By Technical Paper Link - 09 Mar, 2022 - Comments: 0

Abstract: "As quantum information processors grow in quantum bit (qubit) count and functionality, the control and measurement system becomes a limiting factor to large-scale extensibility. To tackle this challenge and keep pace with rapidly evolving classical control requirements, full control stack access is essential to system-level optimization. We design a modular field-programmable gate a... » read more

Power/Performance Bits: Aug. 24
By Jesse Allen - 24 Aug, 2021 - Comments: 0

Low power AI Engineers at the Swiss Center for Electronics and Microtechnology (CSEM) designed an SoC for edge AI applications that can run on solar power or a small battery. The SoC consists of an ASIC chip with RISC-V processor developed at CSEM along with two tightly coupled machine-learning accelerators: one for face detection, for example, and one for classification. The first is a bin... » read more

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