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Technical Paper Round-up: June 14


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


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

Sensors In Fire Detection


The last 10 years or so have produced some colossal and deadly fire events that have destroyed whole towns, burned a record amount of acreage, and polluted skies for weeks. And wildfires are not just happening in the Western United States but have burnt out of control in Europe, the Amazon, and Australia. Early wildfire detection and forest management via controlled burns are two ways to pre... » read more

Technical Paper Round-up: May 17


New technical papers added to Semiconductor Engineering’s library this week. [table id=27 /] 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 go... » read more

“Lab On The Skin” Monitors Multiple Biomarkers


New research from UC San Diego's Center For Wearable Sensors, "An integrated wearable microneedle array for the continuous monitoring of multiple biomarkers in interstitial fluid." Current continuous glucose monitors on the market like Dexcom only measure glucose. This device also monitors alcohol and lactate. “With our wearable, people can see the interplay between their glucose spikes... » read more

AKER: A Design and Verification Framework for Safe and Secure SoC Access Control


Abstract: "Modern systems on a chip (SoCs) utilize heterogeneous architectures where multiple IP cores have concurrent access to on-chip shared resources. In security-critical applications, IP cores have different privilege levels for accessing shared resources, which must be regulated by an access control system. AKER is a design and verification framework for SoC access control. AKER builds ... » read more

Power/Performance Bits: Sept. 21


Catching switches in action Researchers from SLAC National Accelerator Laboratory, Stanford University, Hewlett Packard Labs, Penn State University, and Purdue University observed atoms moving inside an electronic switch as it turns on and off, revealing a state they suspect could lead to faster, more energy-efficient devices. "This research is a breakthrough in ultrafast technology and sci... » read more

HyperRec: Efficient Recommender Systems with Hyperdimensional Computing


A group of researchers are taking a different approach to AI. The University of California at San Diego, the University of California at Irvine, San Diego State University and DGIST recently presented a paper on a new hardware algorithm based on hyperdimensional (HD) computing, which is a brain-inspired computing model. The new algorithm, called HyperRec, uses data that is modeled with bina... » read more

Recent Advances in Thermal Metamaterials and Their Future Applications for Electronics Packaging


Abstract: "Thermal metamaterials exhibit thermal properties that do not exist in nature but can be rationally designed to offer unique capabilities of controlling heat transfer. Recent advances have demonstrated successful manipulation of conductive heat transfer and led to novel heat guiding structures such as thermal cloaks, concentrators, etc. These advances imply new opportunities to gui... » read more

Learning properties of ordered and disordered materials from multi-fidelity data


Source: Chen, C., Zuo, Y., Ye, W. et al. Learning properties of ordered and disordered materials from multi-fidelity data. Nat Comput Sci 1, 46–53 (2021). https://doi.org/10.1038/s43588-020-00002-x Abstract: "Predicting the properties of a material from the arrangement of its atoms is a fundamental goal in materials science. While machine learning has emerged in recent years as a n... » read more

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