News

August 2024

• 

  Powering the future of the Internet of Things

  1 min read · Wed, Aug 28 2024

  News Clip News

  A self-powered system that combines high-speed data transfer with continuous energy harvesting is set to revolutionize the Internet of Things.
• 

  Gold-Medal Sensors: KAUST Racing Toward High-Tech Athletic Excellence For KSA

  1 min read · Thu, Aug 8 2024

  News Clip News

  King Abdullah University of Science and Technology (KAUST) is sprinting ahead in sports training innovations, forging meaningful collaborations and developing cutting-edge wearable sensors to revolutionize athletic regimens and injury prevention. These advancements offer game-changing insights to support peak performance and health, aligning with Saudi Vision 2030’s goal of achieving both regional and worldwide excellence in professional sports.

February 2024

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  Giving voice to the voiceless through assistive technology

  1 min read · Wed, Feb 21 2024

  News

  sensors machine learning artificial intelligence bioelectronics

  Artificial skin coupled with sensors and machine learning technology allows people with voice disorders to communicate using soundless mouth movements.

October 2023

• 

  Towards smarter cities: The pivotal role of KAUST’s urban air quality monitoring in global sustainability

  1 min read · Sun, Oct 29 2023

  News

  Transforming urban air quality with innovative technology and sustainable solutions.

August 2023

• 

  Resisting the bottlenecks in neural networks

  1 min read · Thu, Aug 24 2023

  News

  Computer memory systems that work change resistance rather than charge could greatly improve the performance of deep neural networks for machine learning.
• 

  KAUST Alum Wins Prestigious Prize

  1 min read · Thu, Aug 17 2023

  News Spotlight

  Dr. Hesham Omran, a KAUST alumnus, recently won the prestigious UNESCO-Al Fozan International Prize for the Promotion of Young Scientists in Science, Technology, Engineering, and Mathematics (STEM).

June 2023

• 

  Real-time dopamine biosensor empowers next-gen neurodiagnostics

  1 min read · Wed, Jun 14 2023

  News

  KAUST researchers develop smartphone-integrated biosensor utilizing supramolecular entities

April 2023

• 

  Single-Atom Catalyst for Cancer Detection

  1 min read · Tue, Apr 11 2023

  News Spotlight

  An electronic sensor based on individual atoms anchored to MXene nanomaterials can detect tumor-specific biomarkers.

June 2022

• 

  KAUST ECE alumnus wins Design Automation Conference Under-40 Innovators Award

  1 min read · Thu, Jun 30 2022

  News

  automation microelectronics

  Former KAUST Sensors Lab researcher Hesham Omran (Ph.D. ’15) has been named as one of the four winners of the Design Automation Conference (DAC) 2022 Under-40 Innovators Award. The award recognizes the top young innovators who have made a significant impact in the field of design and automation of electronics.

March 2022

• 

  Perovskites used to make efficient artificial retina

  1 min read · Wed, Mar 2 2022

  News

  artificial intelligence Computer Vision sensors electrical engineering

  KAUST researchers have built an artificial electronic retina that mimics the behaviour of the eye’s rod retina cells. Their artificial retina can recognise handwritten numbers.

November 2021

• 

  Connect the internet of bodies

  1 min read · Thu, Nov 18 2021

  News

  communications sensors electrical engineering IoT

  A network of body monitoring devices connected using our own tissue could form the basis for the internet of bodies (IoB).

September 2021

• 

  Meet KAUST new student: Yurii Tsyban

  1 min read · Mon, Sep 6 2021

  News

  Yurii Tsyban is a graduate in metrology and information-measuring technology who joined KAUST in July 2021 from the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute."

July 2021

• 

  KAUST team power ahead with alternative energy research

  1 min read · Sun, Jul 4 2021

  News

  sensors electrical engineering IoT

  With the continued growth in Internet of Things applications, deployments, and devices, highly connected, sustainable smart cities are no longer mere concepts or fantastical future dreams; many are already active and are expanding apace.

June 2021

• 

  Plant probes make sense for sustainable farming

  1 min read · Sun, Jun 20 2021

  News

  plant science Biosensors agriculture electrical engineering

  Ultrathin needles for probing plants could help keep crop health in check.

April 2021

• 

  Brain-on-a-chip would need little training

  1 min read · Tue, Apr 20 2021

  News

  machine learning artificial intelligence computation electrical engineering

  A neural network that mimics the biology of the brain can be loaded onto a microchip for faster and more efficient artificial intelligence.

March 2021

• 

  Pioneering KAUST research points to a promising future for gas-sensing applications

  1 min read · Sun, Mar 14 2021

  News

  Air pollution and its insidious effect on our environment remain a leading cause of health issues worldwide. Long-term and short-term exposure to air pollution’s detrimental effects can cause several illnesses, including pneumonia, heart disease, lung cancer and chronic respiratory diseases. According to the World Health Organization, air pollution (both ambient and indoor) accounts for an estimated seven million deaths worldwide each year.

February 2021

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  KAUST ECE alumnus receives prestigious Egyptian State Encouragement Award in Engineering Sciences

  1 min read · Tue, Feb 2 2021

  News Spotlight

  Former KAUST Sensors Lab researcher Hesham Omran (Ph.D. ’15) has received the prestigious Egyptian State Encouragement Award in Engineering Sciences. Omran was honored by Egypt's Academy of Scientific Research and Technology (ASRT) for his scientific contributions and achievements for a “distinguished scholar younger than 40.”

January 2021

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  Coating of Conducting and Insulating Threads with Porous MOF Particles through Langmuir-Blodgett Technique

  1 min read · Sat, Jan 23 2021

  News

  LangmuirBlodgett LB films fiber Biosensors functional textiles metal-organic framework conductive thread textile coatings thread thin films

  Sakandar Rauf, et al., "Coating of Conducting and Insulating Threads with Porous MOF Particles through Langmuir-Blodgett Technique." Nanomaterials 11 (1), 2021, 160. The Langmuir-Blodgett (LB) method is a well-known deposition technique for the fabrication of ordered monolayer and multilayer thin films of nanomaterials onto different substrates that plays a critical role in the development of functional devices for various applications. This paper describes detailed studies about the best coating configuration for nanoparticles of a porous metal-organic framework (MOF) onto both insulating or
• 

  Broadening horizons for people with quadriplegia

  1 min read · Sun, Jan 17 2021

  News

  Wearable machine learning artificial intelligence electrical engineering

  An assistive technology uses magnetic skin to support freedom of movement for people with quadriplegia.

December 2020

• 

  WEP 2021: Connectivity as a universal language

  1 min read · Tue, Dec 29 2020

  News

  Connectivity is a word that underscores the kind of world we live in today. Without access to technologies that enable us to connect with each other, surviving a year of physical distancing due to COVID-19 health prevention measures would have been extremely difficult.
• 

  Hesham Omran, PhD ’15, received Award in Engineering Sciences

  1 min read · Mon, Dec 21 2020

  News Spotlight

  Congratulations to Electrical Engineering alumnus Hesham Omran, Ph.D. ’15, on receiving Egypt's prestigious State Encouragement Award in Engineering Sciences. Dr. Omran, an Assistant Professor at Ain Shams University, was honored by Egypt’s Academy of Scientific Research and Technology (ASRT) as a 'distinguished scholar younger than 40'.

November 2020

• 

  Unsupervised adaptive weight pruning for energy-efficient neuromorphic systems Frontiers in Neuroscience, section Neuromorphic Engineering.

  1 min read · Thu, Nov 26 2020

  News

  pruning Circuits unsupervised learning spiking neural networks Pattern Recognition neuromorphic computing STDP

  Wenzhe Guo, et al., "Unsupervised Adaptive Weight Pruning for Energy-Efficient Neuromorphic Systems." Frontiers in Neuroscience 14, 2020, 1189. To tackle real-world challenges, deep and complex neural networks are generally used with a massive number of parameters, which require large memory size, extensive computational operations, and high energy consumption in neuromorphic hardware systems. In this work, we propose an unsupervised online adaptive weight pruning method that dynamically removes non-critical weights from a spiking neural network (SNN) to reduce network complexity and improve
• 

  Sensors get a laser shape up

  1 min read · Sun, Nov 15 2020

  News

  sensors material science electrical engineering

  Laser writing breathes life into high-performance sensing platforms.
• 

  Polarization Insensitive and Transparent Frequency Selective Surface for Dual Band GSM Shielding

  1 min read · Wed, Nov 4 2020

  News

  Filtering theory GSM Circuits fractals Glass resonant frequency Frequency selective surfaces

  Yiming Yang, et al., "Polarization Insensitive and Transparent Frequency Selective Surface for Dual Band GSM Shielding." IEEE Transactions on Antennas and Propagation, 2020 This paper proposes a single-layer, dual-band, optically transparent frequency selective surface (FSS) for GSM shielding. The design evolves from a fractal cross dipole to achieve dual band response, polarization insensitivity and wide angle of incidence stability with a miniaturized size. A two-axis symmetric structure helps to provide a stable frequency response for incident waves with different polarization angles up to

October 2020

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  A highly selective electron affinity facilitated H2S sensor: the marriage of tris(keto-hydrazone) and organic field-effect transistor

  1 min read · Wed, Oct 14 2020

  News

  organic field-effect transistor tris keto-hydrazone H2S sensor Gas Sensors

  Saravanan, Yuvaraja, et al. "A highly selective electron affinity facilitated H2S sensor: the marriage of tris (keto-hydrazone) and organic field-effect transistor." Materials Horizons, 2020. Conjugated polymers (CPs) are emerging as part of a promising future for gas-sensing applications. However, some of their limitations, such as poor specificity, humidity sensitivity and poor ambient stability, remain persistent. Herein, a novel combination of polymer-monomer heterostructure, derived from CP (PDVT-10) and a newly accomplished monomer has been integrated in an organic
• 

  Rail-to-rail complementary input StrongARM comparator for low-power applications

  1 min read · Wed, Oct 14 2020

  News

  comparators Circuits CMOS logic circuits microcontroller low-power electronics

  Mohammed Al Qadasi., et al. "Rail-to-rail complementary input StrongARM comparator for low-power applications." IET Circuits, Devices & Systems, 2020. This study proposes a new scheme for rail-to-rail input StrongARM latch comparator. Additional differential input p-type metal-oxide-semiconductor (PMOS) and cross-coupled n-type metal-oxide-semiconductor (NMOS) transistors have been introduced to achieve the rail-to-rail input range. The proposed scheme offers low-energy consumption of 15.2 fJ and a high speed of 3 GHz, which makes it attractive for energy harvested Internet of Thing

September 2020

• 

  Electrochemical sensors and biosensors using laser-derived graphene: A comprehensive review

  1 min read · Tue, Sep 15 2020

  News

  Laser-derived graphene Electrochemical Sensors Laser-scribed graphene Modified electrodes

  Abdellatif Ait Lahcen, et al., "Electrochemical sensors and biosensors using laser-derived graphene: A comprehensive review." Biosensors and Bioelectronics 168, 2020, 112565. Laser-derived graphene (LDG) technology is gaining attention as a promising material for the development of novel electrochemical sensors and biosensors. Compared to established methods for graphene synthesis, LDG provides many advantages such as cost-effectiveness, fast electron mobility, mask-free, green synthesis, good electrical conductivity, porosity, mechanical stability, and large surface area. This review
• 

  Numerical modeling for terahertz testing of non-metallic pipes

  1 min read · Tue, Sep 15 2020

  News

  Circuits nondestructive testing leakage detection Terahertz signals THz sensing non-metallic pipes

  Mohammed Farhat et al., "Numerical modeling for terahertz testing of non-metallic pipes" AIP Advances 10, 2020, 095112. In the oil and gas industry, safety and operational efficiency at production sites are of paramount importance. A reliable non-destructive testing technology for non-metallic pipes has a high potential financial impact, since it may facilitate the replacement of metallic pipes with non-metallic ones. This article features a perspective and future trends in the field of terahertz sensing technology. Importantly, several numerical simulations that illustrate many exciting
• 

  Anti-poisoning electrode for real-time in-situ monitoring of hydrogen sulfide release

  1 min read · Tue, Sep 15 2020

  News

  Nanocomposites Gasotransmitters Serum biomarkerLive cells Real-time sensor Gas Sensors In-Situ sensors

  Nithiya Jeromiyas, et al., " Anti-poisoning electrode for real-time in-situ monitoring of hydrogen sulfide release" Sensor and Actuators B: Chemistry 7 (10), 2020, 128844. Electrode poisoning and interferences from complex biological environments are major challenges in the development of in-situ H 2S sensors. To circumvent these issues, herein a robust electrode based on reduced graphene oxide-molybdenum disulfide nanohybrid (RGO-MoS 2) and polymerized o-phenylenediamine (POPD) is developed. The POPD/RGO-MoS 2-modified electrode catalyzed H 2S oxidation at a minimized overpotential (+ 0.15 V

August 2020

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  Laser scribed graphene: A novel platform for highly sensitive detection of eletroactive biomolecules

  1 min read · Sat, Aug 22 2020

  News

  Biosensors Laser-scribed graphene Biomolecules Phenolic compounds Electrochemical Sensors Biosensor platform Paracetamol

  Abdelghani Ghanam, et al., "Laser scribed graphene: A novel platform for highly sensitive detection of eletroactive biomolecules" Biosensors and Bioelectronics, 2020, 112509. Laser-scribed graphene electrodes (LSGEs) have recently shown a potential for the development of electrochemical biosensors thanks to their electronic properties, porous structures, and large surface area that can support the charge transfer. In this paper, the authors present a comparative study of the electrochemical performances of LSGEs with the conventional screen-printed carbon electrodes (SPCEs) toward the
• 

  Multi‐source ambient energy harvester based on RF and thermal energy: Design, testing, and IoT application

  1 min read · Tue, Aug 11 2020

  News

  multi-source energy harvester Circuits RF energy harvesting ambient energy sources

  Azamat Bakytbekov, et al., "Multi‐source ambient energy harvester based on RF and thermal energy: Design, testing, and IoT application." Energy Science & Engineering, 2020,1. Billions of wireless sensing devices must be powered for IoT applications. Collecting energy from the ambient environment to power sensor nodes is a promising solution. Solar energy has been one of the main sources of ambient energy due to its availability, higher power density, and the maturity of the solar photovoltaic industry. However, there are many scenarios (indoor environment, outdoor environment during nighttime
• 

  Semitransparent graphite films growth on Ni and their double-sided polymer-free transfer

  1 min read · Tue, Aug 11 2020

  News

  Gas Sensors

  G. Deokar, et al.,“Semitransparent graphite films growth on Ni and their double-sided polymer-free transfer”, accepted, Nature Scientific reports, 2020 Nanorange thickness graphite films (NGFs) are robust nanomaterials that can be produced via catalytic chemical vapour deposition but questions remain regarding their facile transfer and how surface topography may affect their application in next-generation devices. Here, we report the growth of NGFs (with an area of 55 cm 2 and thickness of ~ 100 nm) on both sides of a polycrystalline Ni foil and their polymer-free transfer (front- and back
• 

  A multi-bit fully integrated thin-film transistor NO2 gas detector at room temperature

  1 min read · Tue, Aug 11 2020

  News

  Circuits Light emitting diodes Temperature sensors Gas detectors Inverters Gas Sensors

  Mani Teja, et al., “A multi-bit fully integrated thin-film transistor NO2 gas detector at room temperature”, IEEE sensor letters 4 (8), 2020, 5501204. Inexpensive and compact gas sensing systems are indispensable for accurate air quality monitoring with broad spatial coverage. We report an InGaZnO thin-film transistor (TFT)-based integrated NO 2 gas detection system that yields a digital output proportional to the NO 2 concentration. This is the first report on integrated TFT-based detectors where gas concentration is quantified and where simultaneous digital output is provided without

July 2020

• 

  Meet KAUST Prospective Student: Isaías de Sousa

  1 min read · Wed, Jul 22 2020

  News

  Isaías de Sousa is an electrical engineering graduate from Brazil. He obtained his master's degree from the Federal University of Campina Grande and his bachelor's degree from the Federal University of Piauí, Brazil, respectively. Isaías will join KAUST in the fall of 2020 as a Ph.D. candidate in the KAUST Sensors Lab under Professor Khaled Nabil Salama's supervision.
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  Growth of large-scale MoS2 nanosheets on double layered ZnCo2O4 for real-time in-situ H2S monitoring in live cells

  1 min read · Fri, Jul 10 2020

  News

  Biosensors Circuits

  Mani Veerappan et al., "Growth of large-scale MoS2 nanosheets on double layered ZnCo2O4 for real-time in-situ H2S monitoring in live cells"Journal of Materials Chemistry B, 2020, 1. There is an urgent need to develop in-situ sensors that monitor the continued release of H2S from biological systems to understand H2S-related pathology and pharmacology. For this purpose, we have developed a molybdenum disulfide supported double-layered zinc cobaltite modified carbon cloth electrode (MoS2–ZnCo2O4–ZnCo2O4) based electrocatalytic sensor. The results of our study suggest that the MoS2–ZnCo2O4–ZnCo2O4
• 

  Meet KAUST Prospective Student: Imran Pervez

  1 min read · Wed, Jul 8 2020

  News

  Fractional order elements Optical communications

  Soon-to-be graduate Imran Pervez will join KAUST from Aligarh Muslim University, India. An initial reference from a friend piqued his initial interest in joining KAUST. This interest in joining was solidified by an inspiring interaction with Professor Khalid Nabil Salama, which further convinced Pervez to join KAUST.
• 

  Meet KAUST Prospective Student: Olga Krestinskaya

  1 min read · Thu, Jul 2 2020

  News

  Neuromorphic Circuits

  Olga Krestinskaya, from Kazakhstan, obtained her master’s and bachelor’s degree in electrical engineering and electronics from Nazarbayev University, Kazakhstan. She is the recipient of the IEEE Circuits and Systems (CAS) society pre-doctoral award in 2019 and will join KAUST in the fall of 2020 as a Ph.D. candidate in the KAUST Sensors Lab under the supervision of Professor Khaled Nabil Salama.

June 2020

• 

  Meet KAUST prospective student: Carlos Augusto Zan Malaguti

  1 min read · Tue, Jun 30 2020

  News

  microelectronics micro and nanofabrication Biosensors

  Carlos Augusto Zan Malaguti, 23, from Brazil, obtained his bachelor’s degree in electronics and telecommunications engineering from Sao Paulo State University (UNESP). Carlos will join KAUST in the fall of 2020 as an M.S./Ph.D. candidate in the KAUST Sensors Lab under the supervision of Professor Khaled Nabil Salama.
• 

  An in-field integrated capacitive sensor for rapid detection and quantification of soil moisture

  1 min read · Mon, Jun 29 2020

  News

  Gas Sensors Soil moisturecapacitance sensoroptimum irrigation2D materialrapid analysis

  Sandeep Surya, et al., "An in-field integrated capacitive sensor for rapid detection and quantification of soil moisture" Sensors and Actuators B: Chemical 2020, 128542. The development of in-situ soil moisture sensors (SMS) with advanced materials is the requirement of the future autonomous agriculture industry. However, an open challenge for these sensors is to control changes in the capacitance rather than resistance while attaining reliability, high performance, scalability and stability. In this work, a series of materials such as Graphite oxide (GO), Molybdenum disulfide (MoS2), Vanadium
• 

  Efficient Acceleration of Stencil Applications through In-Memory Computing

  1 min read · Mon, Jun 29 2020

  News

  stencil codes; Laplace; Jacobi iteration; memristor; in-memory computing; Circuits

  Hasan Yantır, et al., "Efficient Acceleration of Stencil Applications through In-Memory Computing". Micromachines 11, 2020, 622. The traditional computer architectures severely suffer from the bottleneck between the processing elements and memory that is the biggest barrier in front of their scalability. Nevertheless, the amount of data that applications need to process is increasing rapidly, especially after the era of big data and artificial intelligence. This fact forces new constraints in computer architecture design towards more data-centric principles. Therefore, new paradigms such as in
• 

  Towards Efficient Neuromorphic Hardware: Unsupervised Adaptive Neuron Pruning

  1 min read · Mon, Jun 29 2020

  News

  Circuits

  Wenzhe Guo, et al., "Towards Efficient Neuromorphic Hardware: Unsupervised Adaptive Neuron Pruning". Electronics 9, 2020, 1059. To solve real-time challenges, neuromorphic systems generally require deep and complex network structures. Thus, it is crucial to search for effective solutions that can reduce network complexity, improve energy efficiency, and maintain high accuracy. To this end, we propose unsupervised pruning strategies that are focused on pruning neurons while training in spiking neural networks (SNNs) by utilizing network dynamics. The importance of neurons is determined by the
• 

  Automating Analogue AI Chip Design with Genetic Search

  1 min read · Thu, Jun 25 2020

  News

  Circuits

  Olga Krestinskaya, et al., "Automating Analogue AI Chip Design with Genetic Search" Adv. Intell. Syst, 2000075, 2020, 2. Optimization of analogue neural circuit designs is one of the most challenging, complicated, time‐consuming, and expensive tasks. Design automation of analogue neuromemristive chips is made difficult by the need to design chips at low cost, ease of scaling, high‐energy efficiency, and small on‐chip area. The rapid progress in edge AI computing applications generates high demand for developing smart sensors. The integration of high‐density analogue computing AI chips as
• 

  Fully Inkjet‐Printed, Ultrathin and Conformable Organic Photovoltaics as Power Source Based on Cross‐Linked PEDOT:PSS Electrodes

  1 min read · Mon, Jun 15 2020

  News

  Biosensors non‐fullerene organic P3HT Electrochemical Sensors solar cells

  Eloïse Bihar, et al., "Fully Inkjet‐Printed, Ultrathin and Conformable Organic Photovoltaics as Power Source Based on Cross‐Linked PEDOT:PSS Electrodes" Advance Material Technology 2000226 , 2020, 1. Ultra‐lightweight solar cells have attracted enormous attention due to their ultra‐conformability, flexibility, and compatibility with applications including electronic skin or miniaturized electronics for biological applications. With the latest advancements in printing technologies, printing ultrathin electronics is becoming now a reality. This work offers an easy path to fabricate indium tin
• 

  A Highly Selective Metal-Organic Framework Textile Humidity Sensor

  1 min read · Wed, Jun 10 2020

  News

  MOF langmuir-Blodgett Smart-textile sensor MIL-96 humidity Gas Sensors

  Sakandar Rauf, et al., "A Highly Selective Metal-Organic Framework Textile Humidity Sensor" ACS Applied Materials & Interfaces, 2020. The increase in demand and popularity of smart textiles brings new and innovative ideas to develop a diverse range of textile-based devices for our daily life applications. Smart textile-based sensors (TEX sensors) become attractive due to the potential to replace current solid-state sensor devices with flexible and wearable devices. We have developed a smart textile sensor for humidity detection using a metal-organic framework (MOF) as an active thin-film layer
• 

  A Compact, Passive Frequency-Hopping Harmonic Sensor Based on a Microfluidic Reconfigurable Dual-Band Antenna

  1 min read · Wed, Jun 10 2020

  News

  wireless Biosensors electromagnetic sensors

  Liang Zhu, et al., "A Compact, Passive Frequency-Hopping Harmonic Sensor Based on a Microfluidic Reconfigurable Dual-Band Antenna," IEEE Sensors Journal, 2020, 1. We propose here a fully-passive wireless liquid sensor using a harmonic transponder, which comprises a dual-band microstrip antenna reconfigured by different types of liquids injected in a fluidic cavity. Different from traditional radio-frequency (RF) backscatter sensors, the proposed harmonic-transponder sensor (or harmonic sensor) receives frequency-hopped RF monotones and backscatters their second harmonics, with the peak
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  Simplified Modal‐Cancellation Approach for Substrate‐Integrated‐Waveguide Narrow‐Band Filter Design

  1 min read · Wed, Jun 10 2020

  News

  filters communications Circuits wave propagation cavities Substrate Integrated Waveguide

  Sebastian Celis, et al., "Simplified Modal-Cancellation Approach for Substrate-Integrated-Waveguide Narrow-Band Filter Design". Electronics 2020, 9, 962. Current substrate-integrated-waveguide (SIW) filter design methodologies can be extremely computational and time-inefficient when a narrow-band filter is required. A new approach to designing compact, highly selective narrow-band filters based on smartly positioned obstacles is thus presented here. The proposed modal-cancellation approach is achieved by translating or eliminating undesired modes within the frequency of interest. This is
• 

  Meet KAUST prospective student: Adilya Bakambekova

  1 min read · Wed, Jun 3 2020

  News

  electronics electrical engineering

  She loves watching films not for the plot, but in order to rethink her beliefs. She is 22, she graduates from the School of Engineering in the capital. Adilya Bakambekova may seem ordinary: she loves walking in the park, powerlifting, taking care of her five-year-old wiener dog.

May 2020

• 

  Fully Integrated Organic Field‐Effect Transistor Platform to Detect and to Quantify NO2 Gas

  1 min read · Sun, May 31 2020

  News

  PDVT10 parylene C encapsulation gas sensors integrated NO2 gas detector organic field effect transistors Gas Sensors

  Saravanan Yuvaraja, et al.,"Fully Integrated Organic Field‐Effect Transistor Platform to Detect and to Quantify NO2 Gas." physica status solidi (RRL)–Rapid Research Letters, 2020, 2000086. Herein, the gas sensing characteristics of PDVT‐10 organic field‐effect transistor (OFET) devices are explored and integrated to build a compact analog‐to‐digital converter (ADC) gas detection system. The electrical characteristics of the pristine PDVT‐10 OFET exhibit I on/I off ratio and threshold voltage as 104 and −12 V, respectively. Through the coating of a metal‐organic framework (MOF) on the surface
• 

  Organic Field-Effect Transistor-Based Flexible Sensors

  1 min read · Wed, May 20 2020

  News

  OFETs Flexible electronic devices Circuits oscs

  Saravanan Yuvaraja et al., "Organic Field-Effect Transistor-Based Flexible Sensors" Chemical Society Reviews 2020, (Advanced Article). (12) 49, 2020, 3423. Flexible electronic devices have attracted a great deal of attention in recent years due to their flexibility, reduced complexity and lightweight. Such devices can conformably attach themselves to any bendable surface and can possess diverse transduction mechanisms. Consequently, with continued emphasis on innovation and development, major technological breakthroughs have been achieved in this area. This review focuses on the advancements
• 

  EANN: Energy Adaptive Neural Networks

  1 min read · Tue, May 5 2020

  News

  Circuits truncated accumulation neuron skipping computation skipping FPGA

  Salma Hassan, et al., "EANN: Energy Adaptive Neural Networks." Electronics 9 (5), 2020, 746. This paper proposes an Energy Adaptive Feedforward Neural Network (EANN). It uses multiple approximation techniques in the hardware implementation of the neuron unit. The used techniques are precision scaling, approximate multiplier, computation skipping, neuron skipping, activation function approximation and truncated accumulation. The proposed EANN system applies the partial dynamic reconfiguration (PDR) feature supported by the FPGA platform to reconfigure the hardware elements of the neural network