Results 101 to 110 of about 2,281 (217)

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

Unraveling the Effects of Freezing and Frozen Storage Temperatures on Hop Secondary Metabolites and Antioxidants. [PDF]

Antioxidants (Basel)
Özel BE, Tatasciore S, Santarelli V, Valbonetti L, Pittia P, Neri L.   +5 more
europepmc   +1 more source

Topological Materials and Related Applications

Advanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti, Roberto Mantovan, Emanuele Longo, Harold J. W. Zandvliet, Pantelis Bampoulis, Yu Pan, Fan Li, Xia Wang, Payton Downey, Alessandro Molle   +9 more
wiley   +1 more source

Comparative inactivation of <i>Listeria monocytogenes</i> in human and bovine milk treated with high-pressure processing and UV-C treatment and potential growth during refrigerated shelf-life. [PDF]

Front Microbiol
Mohamed HMH, Liang N, Lowder A, Dallas DC, Waite-Cusic J.   +4 more
europepmc   +1 more source

Silicon Nitride Resistive Memories

Advanced Electronic Materials, EarlyView.
Amorphous SiNx is an attractive resistance switching material for ReRAM applications due to its physicochemical properties, such as humidity resistance, low oxygen diffusivity, and is used as a metal diffusion blocker. By modifying the ratio between N and Si atoms, the microstructure of the SiNx is affected, rendering it possible to change the ...
Alexandros‐Eleftherios Mavropoulis, Nikolaos Vasileiadis, Iosif‐Angelos Fyrigos, Emmanouil Stavroulakis, Caroline Bonafos, Pascal Normand, Georgios Ch. Sirakoulis, Panagiotis Dimitrakis   +7 more
wiley   +1 more source

<i>Humulus lupulus</i> L. in Animal Nutrition: Phytochemical Profile, Bioactive Properties, and Applications as a Functional Feed Additive-A Comprehensive Review. [PDF]

Plants (Basel)
Zepeda C, López J, Figueroa C, Low C, Olivares-Cantillano G.   +4 more
europepmc   +1 more source

Array‐Level Characterization of Cryogenic RRAM

Advanced Electronic Materials, EarlyView.
This paper reports the first array‐level comprehensive electrical characterization of a 1024‐device HfO2‐based RRAM array from 300, 77 to 4 K, covering forming, set/reset switching, endurance, retention, relaxation, and read disturb. The results manifest the high performance of RRAM array at cryogenic temperatures and huge application potential for ...
Yuyao Lu, Ruofei Hu, Zhixing Jiang, Feng Xu, Bin Gao, Jianshi Tang, He Qian, Huaqiang Wu   +7 more
wiley   +1 more source

Compositional Phenolic Signatures of Antioxidant-Relevant Compounds in Hop (<i>Humulus lupulus</i> L.) Varieties and Local Ecotypes Cultivated in Southern Chile. [PDF]

Antioxidants (Basel)
Matamala I, Chacón-Fuentes M, Martínez-Cisterna D, Parra-Verdugo P, Asencio-Cancino V, Bardehle L.   +5 more
europepmc   +1 more source

Enhanced Resistive Switching Uniformity in Tantalum Oxide Memristor Devices via Copper Implantation

Advanced Electronic Materials, EarlyView.
Metal oxide memristor devices typically suffer from uncontrolled forming processes and limited resistive switching uniformity due to the stochastic formation of an oxygen vacancy filament. Improved resistive switching uniformity in Ta2O5 memristor is developed by Cu implantation in the switching oxide.
Shaochuan Chen, Ilia Valov
wiley   +1 more source

Data-Driven Energy-Saving Methods Based on LoRa-Mesh Hierarchical Network. [PDF]

Sensors (Basel)
Tang M, Li X, Shang J.
europepmc   +1 more source