IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH (IMMS GmbH)’s Post

Excited to share a publication from ACM CHI Conference 2024: "Stick&Slip: Enabling Naturalistic Interaction with Touch Interfaces" by Alex Mazursky, Jacob Serfaty, and Pedro Lopes from the University of Chicago's Human Computer Integration Lab. Their innovative research introduces Stick&Slip, a novel approach that alters friction between the fingerpad and surfaces by depositing liquid droplets. This method allows users to experience surfaces as up to ±60% more slippery or sticky by modifying the finger’s coefficient of friction. Stick&Slip offers several advantages over traditional friction-feedback techniques, such as electroadhesion or vibration: 1. It can alter friction on a wide range of surfaces and geometries. 2. It scales to many objects without requiring instrumented target surfaces. 3. It can both increase and decrease friction via a single device. Seeed's XIAO microcontroller was utilized in this study, showcasing its versatility and precision in cutting-edge applications. 🔗 Read the full paper here: https://lnkd.in/gZTVbzEg Watch the video on YouTube: https://lnkd.in/gHKNeTh2 #CHI2024 #TouchInterface #HCI #Innovation #SeeedStudio #XIAO #research

💡 We are continuously inspired by the innovative ways our double-clad fiber coupler is employed! 🔬 Herein, a double-clad fiber is used as an imaging cantilever where the core is utilized for illumination and the inner cladding for collection, as demonstrated by Jintaek Im, Eunsil Jang, and Cheol Song from DGIST (Daegu Gyeongbuk Institute of Science and Technology). 📈 This study is validated through extensive finite element analysis and experiments, highlighting the accuracy and speed of this technique for biomedical resonant scanners. Study published in IEEE/ASME Transactions on Mechatronics : https://lnkd.in/eXEq-6ez #fiberoptics #BiomedicalImaging

We're delighted to share that the article "Investigation of Polymer-Based 1×2 All-Optical Switches at C-Band Wavelength" by Dr. Md Koushik Alam, Dr. Noor Afsary, Dr. Md. Zahidul Islam Tomas and Dr. Md Omar Faruk Rasel from Khulna University has been published online in Journal of Optics and Photonics Research.   Abstract: All-optical switches play a significant role in optical communication and signal processing using purely optical signals and offer efficient high-speed data transmission over conventional switches, which rely on optic–electronic conversions. This paper demonstrates 1×2 all-optical switches realized with the Mach-Zehnder Interferometer (MZI) and directional couplers (DCs) for next-generation high-speed computing systems. We numerically design and simulate this optical switch by using the commercially available RSoft CAD BeamPROP solver. The proposed switches leverage the combined influence of DCs to achieve precise control over switching states by demonstrating remarkable phase-shifting properties with phase differences of 4π/3 and π/2 between the MZI and DC. The optical switch exhibits excess losses from 1.27 dB to 1.40 dB and crosstalk ranging from -13.303 dB to -11.034 dB in a wavelength range of 1.53-1.56 µm, and minimal excess loss and crosstalk are 1.27 dB and -13.303 dB at1.55 µm. The proposed polymer-based 1×2 all-optical switches could be novel devices in high-speed data transmission for optical circuitry. Feel free to click on the link to read and share the article:  https://lnkd.in/gz5QqTXB #allopticalswitches #multimodeinterferencewaveguides #directionalcouplers #polymerwaveguides

2nd one for 2024📚📚 We demonstrates 1×2 all-optical switches realized with the Mach-Zehnder Interferometer and directional couplers for next-generation high-speed computing systems. #newpublication #allopticalswitch #photonics

Check out the review article from our lab, titled "Two-dimensional magnetic materials for spintronic applications", just published in Nano Research. https://rdcu.be/dwQr6 Two-dimensional magnetic materials hold great promise for advancing scalable, energy efficient spintronics for embedded non-volatile memories (eNVM) and neuromorphic computing paradigms. In this review article, we discuss - 1. The advantages that van der Waals (vdW) 2D magnetic materials offers in developing scalable, energy-efficient spintronic devices. 2. Provide an exhaustive survey of experimentally discovered vdW magnetic materials. 3. Specially feature room temperature vdW magnetic materials, which are key to technological translation. 4. Discuss the progress made in current and voltage-based control of vdW magnets, and devices development. 5. Outline the existing challenges and opportunities in bringing 2D materials based spintronics to the markets. It was an enriching experience working closely with Jad Hanna, Kyuho Jang and Prof. Deblina Sarkar to put together this comprehensive review. Hope it provides value to individuals working in #spintronics, #eNVMs, #2dmaterials, #MRAM and #neuromorphic computing.

Presenting Design and Characterization of Quantum dot Cellular Automata (QCA) based Optimized Circuits for Emerging Technologies #qca #apccas2023 IEEE APCCAS Conference 2023 #iiith #iiithyderabad

Our UVA Engineering Link Lab team, led by Professor Jack Stankovic and research assistant Qiyue Xia, partnered with Assistant Professor Xiaoxuan (Chris) Lu Lu from the University of Edinburgh, along with graduate students Peize Li and Kaiwen Cai, (University of Liverpool) to research and write their paper "Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion" which has been published for the EWSN 2023 Conference. Traditional human detection methods rely on visible light sensors, limiting their use in degraded vision conditions. Our solution? A cutting-edge multimodal system that combines portable thermal cameras and single-chip mmWave radars. We didn't stop there. To overcome challenges like low thermal camera contrast and radar point cloud noise, we introduced a game-changing Bayesian feature extractor and uncertainty-guided fusion method. Our approach outperformed state-of-the-art methods by a wide margin in real-world tests. This achievement underscores the power of collaboration, innovation, and pushing boundaries. Stay tuned for more updates as we continue to make strides in technology and human detection! #ResearchBreakthrough #UVALinkLab #EWSN2023 UVA Engineering Read Article: https://lnkd.in/eWSYuUp8

🤓 Curious about #Modelling of #electrolyser and #fuelcells? Our latest paper in Elsevier - Electrochimica Acta, volume 495, 144482: ▶https://lnkd.in/d5YGq2aq 𝙉𝙀𝙊𝙋𝘼𝙍𝘿-𝙓: 𝙈𝙪𝙡𝙩𝙞𝙙𝙞𝙢𝙚𝙣𝙨𝙞𝙤𝙣𝙖𝙡 𝙝𝙞𝙜𝙝𝙡𝙮 𝙚𝙛𝙛𝙞𝙘𝙞𝙚𝙣𝙩 𝙖𝙣𝙙 𝙨𝙘𝙖𝙡𝙖𝙗𝙡𝙚 𝙢𝙤𝙙𝙪𝙡𝙖𝙧 𝙛𝙧𝙖𝙢𝙚𝙬𝙤𝙧𝙠 𝙛𝙤𝙧 𝙢𝙤𝙙𝙚𝙡𝙡𝙞𝙣𝙜 𝙤𝙛 𝙚𝙡𝙚𝙘𝙩𝙧𝙤𝙡𝙮𝙨𝙚𝙧𝙨 𝙖𝙣𝙙 𝙛𝙪𝙚𝙡 𝙘𝙚𝙡𝙡𝙨 The framework features a #modular and #flexible #structure, which enables wide applicability for a variety of fuel cell and electrolyser technologies. It is multi-threaded for shared memory architectures. The generic approach for discretisation allows efficient distribution of tasks between processing cores. The physical model is clearly separated from discretisation and the linear solver. This simplifies the model development and provides high flexibility with respect to the discretisation methods, linear solvers, as well as the dimensionality of the application. Irregular grids and complex geometries can be realised through generic mapping of coordinate systems. Single cell models can be easily scaled to short stacks. The framework features are demonstrated with realistic #PEMFC and #SOEC models. Whilst the PEMFC example focuses on the differences between different model dimensions and different boundary conditions, the SOEC example demonstrates the extension of a transient single cell model to a transient short stack model. The performance scalability with the number of CPUs is demonstrated. Special thanks to the great team from Deutsches Zentrum für Luft-und Raumfahrt e.V. behind this work: Andrey Koksharov | Arnulf Latz | Thomas Jahnke

Paper alert from AI-Power project!! A good end-of-life (EOL) criterion offers timely warnings prior to catastrophic failure while maximizing the utilization of devices. Apart from achieving this trade-off, ensuring consistency of utilization among different devices and conditions is equally important. Our recent research provides a potential one: "gEOL: A Gradient-based End-of-Life Criterion for Power Semiconductor Modules" on IEEE Transactions on Power Electronics. Its effectiveness has been substantiated through data from power cycling tests. Additionally, the physic-informed degradation model introduced offers a theoretical foundation, reinforcing the explainability of the advantages over the percentage-based EOL criterion. The authors are yichi zhang, Yi Zhang, and Huai Wang. The paper is open-access with the testing data of the power cycling on #IEEEDataPort. Your comments are more than welcome! Paper: https://lnkd.in/dZ3vN-VC, DOl: 10.1109/TPEL.2023.3339342 Dataset: https://lnkd.in/d9pbBWFU

Dear connection! Are you working/interested in the field of Modeling of Spintronics devices, Spintronics-CMOS integration for Neuromorphic Computing, and applications? Then this #virtualtalk is of interest. Join my contributed talk at 15:15 CEST on 27th September. One of the biggest virtual conferences organized by IEEE Magnetics Society: IEEE Around-the-Clock Around-the-Globe Magnetics Conference on the 27th of September! Register for the conference for FREE until Sept. 21! Registration link: https://lnkd.in/dBnD4hiV Brief abstract: The modeling techniques will be explicitly used to demonstrate the functionality of spin nano oscillators/spin multi-bit memories. The device models allow circuit-to-system level implementations and analyses with device-level abstraction. Hybrid spintronics-CMOS advances support the compute-in-memory approach making it very attractive for neuromorphic computing systems. Henceforth, taking the significantly improved energy efficiency and the small footprint of spintronics, the high speed, low power, and high bandwidth operation of the photonic-assisted scheme, and finally, the maturity and scalability of CMOS integrated circuits/electronics, a highly efficient and faster computing system can be developed for several futuristic applications. Department of Electrical and Computer Engineering, Aarhus University Montserrat Rivas #IEEE #AtC #AtG #magnetics #conference #speaking #talk #ieeemagnetics