Logic-in-memory based on an atomically thin semiconductor

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In this paper, we validate the Verilog-A implementation of the nanowire ISFET model. Based on the developed code and EKV formalism, the flicker noise of the nanowire ISFET was studied. The Verilog-A code was validated by comparing the data obtained from th ...

Transient electronics have emerged as a new category of devices that can degrade after their functional lifetime, offering tremendous potential as disposable sensors, actuators, wearables, and implants. Additive manufacturing methods represent a promising ...

Low-level light detection with high spatial and timing accuracy is a growing area of interest by virtue of applications such as light detection and ranging (LiDAR), biomedical imaging, time-resolved Raman spectroscopy, and quantum applications. Single-phot ...

We introduce a new family of single-photon avalanche diodes (SPADs) with enhanced depletion regions in a 55-nm Bipolar-CMOS-DMOS (BCD) technology. We demonstrate how to systematically engineer doping profiles in the main junction and in deep p-well layers ...

Machine learning and data processing algorithms have been thriving in finding ways of processing and classifying information by exploiting the hidden trends of large datasets. Although these emerging computational methods have become successful in today's ...

Organic electrochemical transistors (OECTs) have gained enormous attention due to their potential for bioelectronics and neuromorphic computing. However, their implementation into real-world applications is still impeded by a lack of understanding of the c ...

We demonstrate the use of both pixelated differential phase contrast (DPC) scanning transmission electron microscopy (STEM) and off-axis electron holography (EH) for the measurement of electric fields and assess the advantages and limitations of each techn ...

The desire and ability to place AI-enabled applications on the edge has grown significantly in recent years. However, the compute-, area-, and power-constrained nature of edge devices are stressed by the needs of the AI-enabled applications, due to a gener ...

The digital revolution has significantly transformed our world over the past decades, driven by the scaling of transistor dimensions and the exponential increase in computation power. However, as the CMOS scaling era approaches its end, the semiconductor i ...

The increasing demand for computing power and the emergence of heterogeneous computing architectures have driven the exploration of innovative techniques to address current limitations in both the compute and memory subsystems. One such solution is the use ...

The pervasive adoption of field-programmable gate arrays (FPGAs) in both cyber-physical systems and the cloud has raised many security issues. Being integrated circuits, FPGAs are susceptible to fault and power side-channel attacks, which require physical ...

There is a never-ending push for electronic systems to provide faster operation speeds, higher energy efficiencies, and higher power capabilities at smaller scales. These requirements are apparent in different areas of electronics, from radiofrequency (RF) ...

We present a single-photon avalanche diode (SPAD) developed in 55 nm bipolar-CMOS-DMOS (BCD) technology, which achieves high photon detection probability (PDP) while its breakdown voltage is lower than 20 V. To enhance the PDP performance, the SPAD junctio ...

With Moore's law coming to an end, increasingly more hope is being put in specialized hardware implemented on reconfigurable architectures such as Field-Programmable Gate Arrays (FPGAs). Yet, it is often neglected that these architectures themselves experi ...

Superconducting electronics provide us with cryogenic digital circuits that can rival established technologies in performance and energy consumption. Today, the lack of tools for the design of large-scale integrated superconducting circuits is a major obst ...

Semiconductor materials have given rise to today's digital technology and consumer electronics. Widespread adoption is closely linked to the ability to process and integrate them in devices at scale. Where flexibility and large surfaces are required, such ...

Accessing input data is a critical operation in data analytics: i) slow data access significantly degrades performance, and ii) storing everything in the fastest medium, i.e., memory, incurs high operational and hardware costs. Further, while GPUs offer in ...

Logic-in-memory based on an atomically thin semiconductor

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Nanowire junctionless ISFET noise model in Verilog-A

3D Printing of Customizable Transient Bioelectronics and Sensors

Advanced Silicon and SWIR Single-Photon Avalanche Diodes: Design, Simulation, and Characterization

Doping Engineering for PDP Optimization in SPADs Implemented in 55-nm BCD Process

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

Unraveling the Electrochemical Electrode Coupling in Integrated Organic Electrochemical Transistors

Measuring electrical properties in semiconductor devices by pixelated STEM and off-axis electron holography (or convergent beams vs. plane waves)

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Energy-Efficient Electronic Functions Based on the Co-integration of 2D and Ferroelectric Materials

Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads

Evaluating, Exploiting, and Hiding Power Side-Channel Leakage of Remote FPGAs

New ultrahigh-speed device concepts: from THz nanoplasma devices to glass-like electronics for neuromorphic computation

SPAD Developed in 55 nm Bipolar-CMOS-DMOS Technology Achieving Near 90% Peak PDP

Automating the Design of Programmable Interconnect for Reconfigurable Architectures

Technology-Aware Logic Synthesis for Superconducting Electronics

Semiconductor-based device architectures in multimaterial fibers

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics