Results 71 to 80 of about 676,343 (317)

Self‐Healing and Stretchable Synaptic Transistor

Advanced Functional Materials, EarlyView.
A self‐healing stretchable synaptic transistor (3S‐T) is realized using a p‐PVDF‐HFP‐DBP/PDMS‐MPU‐IU bilayer as gate insulator, where dipole‐dipole interaction enhances polarization to achieve a large memory window. Leveraging its neuronal biomimicry, the synaptic transistor demonstrates electrically compatibility with the biological brain. Furthermore,
Hyongsuk Choo, Sangyong Park, Yoonyi Jeong, Jaepyo Jang, Duhwan Seong, In Soo Kim, Myung‐Gil Kim, Mikyung Shin, Minah Suh, Donghee Son, Jin‐Hong Park   +10 more
wiley   +1 more source

Combining Magnetostriction with Variable Reluctance for Energy Harvesting at Low Frequency Vibrations

Applied Sciences
In this paper, we explore the benefits of using a magnetostrictive component in a variable reluctance energy harvester. The intrinsic magnetic field bias and the possibility to utilize magnetic force to achieve pre-stress leads to a synergetic ...
Johan Bjurström, Cristina Rusu, Christer Johansson   +2 more
doaj   +1 more source

A Reconfigurable SOM Hardware Accelerator

, 2002
Porrmann M, Franzmeier M, Kalte H, Witkowski U, Rückert U. A Reconfigurable SOM Hardware Accelerator.A dynamically reconfigurable hardware accelerator for self-organizing feature maps is presented.
Witkowski, U., Kalte, H., Porrmann, Mario ; https://orcid.org/, Rückert, Ulrich, Franzmeier, M.   +4 more
core  

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

Advanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min, Yonghyun Albert Kwon, Hyunbin Kim, Jihyun Kim, Myeongjin Jung, Jaewon Heo, Gwang Ya Kim, Vlastimil Mazanek, Zdeněk Sofer, In Soo Kim, Jeong Ho Cho, Hyesung Park, Sang Min Won, Joohoon Kang   +13 more
wiley   +1 more source

Linking Physical Fidelity to Downstream Performance in Physics-Informed Fault Diagnosis

IEEE Access
A critical question in Scientific Machine Learning is whether improving a Physics-Informed Neural Network’s (PINN) physical fidelity translates into downstream task performance.
Enzo Nicolas Spotorno, Josafat R. Leal Filho, Antonio Augusto Frohlich   +2 more
doaj   +1 more source

Edge-Boosted U-Net for 2D Medical Image Segmentation

IEEE Access, 2019
Automatic medical image segmentation has always been a heated study in computer-assisted diagnosis (CAD). It is a quite challenging task due to the diversity and complexity of medical images.
Renjie Zhao, Weiting Chen, Guitao Cao
doaj   +1 more source

SimpliFI: Hardware Simulation of Embedded Software Fault Attacks

, 2021
Fault injection simulation on embedded software is typically captured using a high-level fault model that expresses fault behavior in terms of programmer-observable quantities.
Patrick Schaumont, Jacob Grycel
core   +1 more source

Dual‐Mode Magnetic Elastomer for On‐Demand Motion and Degradation

Advanced Functional Materials, EarlyView.
A dual‐mode magnetic elastomer is introduced, enabling DC field‐driven programmable actuation and AC field‐driven magnetothermal degradation. GHz‐range magnetic fields generate ultrafast heating of magnetic nanoparticles that activates cleavage of the silicone elastomer matrix.
Jieun Han, Hyun An, Min‐Ha Oh, Yu‐Lim Lee, Woojin Jeon, Kyung‐Sub Kim, Jae‐Hwan Lee, Seungmin Kang, Yoon‐Nam Kim, Ji‐Won Kang, Daewhan Kim, Min Sang Kwon, Sang‐Koog Kim, Seung‐Kyun Kang   +13 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Updating Model of Software Component Trustworthiness Based on Users Feedback

IEEE Access, 2019
The software trustworthiness measurement is one of the hot topics. Software component technology is the mainstream technology of software development.
Baohua Wang, Yixiang Chen, Shun Zhang, Hengyang Wu   +3 more
doaj   +1 more source