Results 201 to 210 of about 3,575,082 (253)

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Reinforcement Learning-Based Control of a 4-Wheel Independent Steering Mobile Robot for Robust Path Tracking in Outdoor Environments. [PDF]

Sensors (Basel)
Lee H, Joe HM.
europepmc   +1 more source

Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation

Advanced Electronic Materials, EarlyView.
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang, Nellie Laleni, Sina Ranjbar, Andreas Tsiougkos, Nandakishor Yadav, Vasilis Pavlidis, Thomas Kämpfe   +6 more
wiley   +1 more source

Atomic Scale Control of Thermal Conductivity in LaMnO3/SrMnO3 Superlattices

Advanced Electronic Materials, EarlyView.
Interface‐dominated cross‐plane thermal transport in [(LaMnO3)m/(SrMnO3)n]10 superlattices can be controlled by the octahedral rotation/tilt angle φOOR of the MnO6 octahedra, which as well is controlled by the “m/n” ratio. ABSTRACT We report atomic scale structure and phonon thermal transport in (LaMnO3)m/(SrMnO3)n/SrTiO3(100) superlattices (LMO/SMO ...
H. Ulrichs, V. Roddatis, U. Roß, J. P. Bange, D. Meyer, S. Lopatin, V. Radisch, D. Metternich, I. V. Maznichenko, S. Ostanin, R. Egoavil, I. Lazić, V. Moshnyaga   +12 more
wiley   +1 more source

Determining the Relationship Between Composition, Structure, and Device Properties of GexSe1‐x‐Based Selector‐Only Memory

Advanced Electronic Materials, EarlyView.
Composition‐dependent structural evolution in GeXSe1‐X selector‐only memory (SOM) is correlated with device switching behavior. Increasing Ge strengthens network rigidity, suppresses atomic motion, and stabilizes threshold switching, while narrowing the memory window. The revealed structure–property relationship provides a guideline for compositionally
Tien Anh Nguyen, Changdeok Han, Dipannita Ghosh, Suyong Chae, Moongyu Choi, Sanghyun Ban, Myoungsub Kim, Sangmin Yoo, Seung Hwan Lee, Sieun Chae   +9 more
wiley   +1 more source

High-Performance Riveted Complementary-Structure Rotating Triboelectric Nanogenerator for Energy Harvesting from Slow-Speed Water Flows. [PDF]

Materials (Basel)
Yang B, Peng C, Wang Z, Zhao F, Zhou L, Jiang Z, Liu Y, Tang L, Liu Z, Piao J.   +9 more
europepmc   +1 more source

Cost‐Effective Ti/Al/Ni Multilayer Neural Probes With In Vivo Recording Performance Comparable to Ti/Au Neural Probes

Advanced Electronic Materials, EarlyView.
In this study, we developed a cost‐efficient neural probe by replacing traditional gold with an aluminum‐based Ti/Al/Ni multilayer stack. Optimizing this metal architecture suppressed oxidation and ensured robust electrical stability, achieving signal quality comparable to standard gold probes. It enables a highly accessible and economical solution for
Sehwan Park, Minseok Kim, Giheon Kim, Seungjun Lee, Haeyun Lee, Namsun Chou, Hyogeun Shin   +6 more
wiley   +1 more source

Multi-criteria decision analysis approach on parametric optimization of abrasive waterjet pocket milling in Ti-6Al-4V alloy. [PDF]

Sci Rep
Naresh Raj KL, Jayavelu S, Kumar MS, Kumar A, Swarna B.   +4 more
europepmc   +1 more source

AI‐Assisted Ultrasensitive Biosensing using Metal‐Electrolyte‐Metal‐Insulator‐Silicon Structure Based on Oxygen‐Tunable Iridium Oxide Nanonets for Lysyl‐Oxidase‐Like‐2 Breast Cancer Detection

Advanced Electronic Materials, EarlyView.
An oxygen‐controlled iridium‐oxide (IrOx) nano‐net structure is developed to enhance the sensitivity of metal‐electrolyte‐metal‐insulator‐silicon (MEMIS) biosensors. Integrated with a deep learning model, this platform achieves a high accuracy of 94.8% for detecting the breast cancer biomarker LOXL2.
Chiao‐Fan Chiu, Pankaj Kumar, Long Nguyen Minh Le, Ping‐Hsuan Wu, Punnatorn Boonyoung, Shen Tingyang, Abhijit Aich, Yi‐Pin Chen, Shih‐Yin Huang, Siddheswar Maikap   +9 more
wiley   +1 more source

Generative AI as a cognitive support tool in early-stage design ideation: A human-AI co-ideation experiment. [PDF]

PLoS One
Lin YJ.
europepmc   +1 more source