Author's Latest Posts


HW Security: Multi-Agent AI Assistant Leveraging LLMs To Automate Key Stages of SoC Security Verification (U. of Florida)


A new technical paper titled "SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models" was published by researchers at University of Florida. Abstract "Ensuring the security of complex system-on-chips (SoCs) designs is a critical imperative, yet traditional verification techniques struggle to keep pace due to significant challenges in automation, scalability, c... » read more

Device Architecture For 2D Material-Based mNS-FETs In Sub-1nm Nodes (Sungkyunkwan Univ., Alsemy)


A new technical paper titled "Exploring optimal TMDC multi-channel GAA-FET architectures at sub-1nm nodes" was published by researchers at Sungkyunkwan University and Alsemy Inc. "This paper explores the design and optimization of multi-Nanosheet Field-Effect Transistors (mNS-FETs) employing a Transition Metal Dichalcogenide (TMDC) channel, specifically MoS2, for the 0.7 nm technology node u... » read more

Wafer Bonding Mechanisms Using SiCN Films For Hybrid Bonding Applications In 3D Integration 


A new technical paper titled "Material-Mechanistic Interplay in SiCN Wafer Bonding for 3D Integration" was published by researchers at Yokohama National University, TEL, SK hynix, and University of Tsukuba. According to the paper: "Although much research has been conducted on wafer bonding methods compatible with the latest semiconductor manufacturing processes, discussions on the interface... » read more

Platform for LN-Based Wavelength-Scale Integrated Phononic Waveguides On Diamond (Stanford, UCSB)


A new technical paper titled "Integrated phononic waveguide on thin-film lithium niobate on diamond" was published by researchers at Stanford University and UC Santa Barbara. Abstract "We demonstrate wavelength-scale phononic waveguides formed by transfer-printed thin-film lithium niobate (LN) on bulk diamond (LNOD), a material stack that combines the strong piezoelectricity of LN with the ... » read more

Analytical Methods For Analyzing PFAS In Semiconductor Wastewater (Oregon State University)


A new technical paper titled "Practical Guidance on Selecting Analytical Methods for PFAS in Semiconductor Manufacturing Wastewater" was published by researchers at Oregon State University, Corvallis. Abstract "The focus of this review is to provide an overview of the nomenclature, structure, and properties of perfluoroalkyl and polyfluoroalkyl substances (PFAS) that dictate the selection o... » read more

Machine Intelligence on Wireless Edge Networks with RF Analog Architecture (MIT, Duke)


A new technical paper titled "Machine Intelligence on Wireless Edge Networks" was published by researchers at MIT and Duke University. Abstract "Deep neural network (DNN) inference on power-constrained edge devices is bottlenecked by costly weight storage and data movement. We introduce MIWEN, a radio-frequency (RF) analog architecture that "disaggregates" memory by streaming weights wirele... » read more

Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing (Infineon, U. Padova et al.)


A new technical paper titled "Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing" was published by researchers at Infineon Technologies, University of Padova and University of Bologna. Abstract "In the semiconductor sector, due to high demand but also strong and increasing competition, time to market and quality are key factors in securing significant marke... » read more

Thermoelectricity in Topological Flat-Band Compounds (TU Wien, et al.)


A new technical paper titled "Topological Flat-Band-Driven Metallic Thermoelectricity" was published by researchers at TU Wien, Los Alamos National Lab, Flatiron Institute and others. Abstract "Materials where flattened electronic dispersions arise from destructive phase interference, rather than localized orbitals, have emerged as promising platforms for studying emergent quantum phenome... » read more

All-In-One Analog AI Accelerator With CMO/HfOx ReRAM Integrated Into The BEOL (IBM Research-Europe)


A new technical paper titled "All-in-One Analog AI Hardware: On-Chip Training and Inference with Conductive-Metal-Oxide/HfOx ReRAM Devices" was published by researchers at IBM Research-Europe. Abstract "Analog in-memory computing is an emerging paradigm designed to efficiently accelerate deep neural network workloads. Recent advancements have focused on either inference or training accelera... » read more

Review Paper: Wafer-Scale Accelerators Versus GPUs (UC Riverside)


A new technical paper titled "Performance, efficiency, and cost analysis of wafer-scale AI accelerators vs. single-chip GPUs" was published by researchers at UC Riverside. "This review compares wafer-scale AI accelerators and single-chip GPUs, examining performance, energy efficiency, and cost in high-performance AI applications. It highlights enabling technologies like TSMC’s chip-on-wafe... » read more

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