Results 121 to 130 of about 46,646 (266)

NEST-C: A deep learning compiler framework for heterogeneous computing systems with artificial intelligence accelerators

ETRI Journal
Deep learning (DL) has significantly advanced artificial intelligence (AI); how-ever, frameworks such as PyTorch, ONNX, and TensorFlow are optimized for general-purpose GPUs, leading to inefficiencies on specialized accelerators such as neural processing
Jeman Park, Misun Yu, Jinse Kwon, Junmo Park, Jemin Lee, Yongin Kwon   +5 more
doaj   +1 more source

Large‐Area 2D Metasurface‐Based Triboelectric E‐Skin Arrays: Contact & Proximity Tactile Mapping with Broadband Acoustic Readouts

Advanced Materials, EarlyView.
Metasurface‐engineered NC‐TENG arrays integrate tactile pressure mapping, non‐contact gesture sensing, and acoustic signal readouts in one ultrathin module, and outperforms pristine PDMS in terms of electrical output and real‐time spatial mapping for next‐gen wearables.
Injamamul Arief, Swagato Sarkar, Anik Kumar Ghosh, Osvalds Verners, Kamal Kumar Meena, Su‐Hyeong Lee, Soosang Chae, Tobias A. F. König, Beate Krause, Andreas Fery, Mehmet Sait Özer, Anindya Nag, Amit Das   +12 more
wiley   +1 more source

Decoding High‐voltage LiCoO2: From Degradation to Stabilization Toward Durable Li‐ion Batteries

Advanced Materials, EarlyView.
This review systematically addresses the degradation mechanisms and stabilization strategies for high‐voltage LiCoO2 cathodes. Key enhancement approaches including foreign‐ion doping, surface modifications, structural design, and electrolyte optimization are critically assessed.
Zezhou Lin, Yiran Ying, Huangxu Li, Yanhao Ren, Tiancheng Liu, Peiyu Hou, Haitao Huang   +6 more
wiley   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source

Enabling Real‐Time, Non‐Ionizing 3D Imaging of Implantable Magnetic Cements Using Magnetic Particle Imaging

Advanced Materials Interfaces, EarlyView.
This study reports the first implantable resin cement capable of orientation‐sensitive Magnetic Particle Imaging (MPI). By coating the cement with an ultrathin iron film, the authors achieve a strong, angle‐dependent MPI signal that enables non‐ionizing, real‐time tracking of both implant position and orientation, opening new possibilities for safe ...
Gabriel C. Pinto, João M. Costa, Simão P. Fernandes, Gabriela F. Resende, Eduardo T. C. Coimbra, Patrick Vogel, Mariana B. Oliveira, Marco Giardiello, Ricardo M. Silva, Armando A.C.S. Lourenço, Nuno J. O. Silva   +10 more
wiley   +1 more source

Light‐Controlled Exposure of Cancer Cells to Reactive Oxygen Species Using Organic Semiconductor Thin Films

Advanced Materials Interfaces, EarlyView.
Spin‐coated films of the conjugated polymer F8T2 (poly (9,9‐dioctylfluorene‐alt‐bithiophene)) generate superoxide at the film‐medium interface, enabling precise delivery of reactive oxygen species (ROS) as visible‐light “ROS patches.” Coated surfaces drive rapid, localised cytotoxicity in MCF7 cancer monolayers under white light, providing a reagent ...
Joe Kaye, Niculina Miron, Benjamin Fortes Mayer, Yukai Shi, Boyuan Chen, Lewis Krzeczkowski, Robert J. E. Westbrook, Saif A. Haque, Ali Salehi‐Reyhani   +8 more
wiley   +1 more source

Power Saving for Hardware Accelerated Applications With Dynamical Processor Switching

IEEE Access
Services that require both heavy-load computation and low-latency have been increasing. To meet these requirements, an increasing number of servers are equipped with hardware accelerators such as a Graphics Processing Unit (GPU) or Field Programmable ...
Ko Natori, Ikuo Otani, Hikaru Harasawa, Shogo Saito, Kei Fujimoto   +4 more
doaj   +1 more source

A Post-training Quantization Method for the Design of Fixed-Point-Based FPGA/ASIC Hardware Accelerators for LSTM/GRU Algorithms.

Comput Intell Neurosci, 2022
Rapuano E, Pacini T, Fanucci L.
europepmc   +1 more source

Roadmap to Precision 3D Printing of Cellulose: Rheology‐Guided Formulation, Fidelity Assessment, and Application Horizons

Advanced Materials Technologies, EarlyView.
This critical review presents a comprehensive roadmap for the precision 3D printing of cellulose. Quantitative correlations link ink formulation and rheological properties to print fidelity and final material performance. This framework guides the development of advanced functional materials, from biomedical scaffolds to electromagnetic shielding ...
Majed Amini, Hadi Hosseini, Seyyed Alireza Hashemi, Mohammad Arjmand   +3 more
wiley   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source