Results 101 to 110 of about 2,221 (294)

Three-dimensional perovskite nanowire array-based ultrafast resistive RAM with ultralong data retention. [PDF]

Sci Adv, 2021
Zhang Y, Poddar S, Huang H, Gu L, Zhang Q, Zhou Y, Yan S, Zhang S, Song Z, Huang B, Shen G, Fan Z.   +11 more
europepmc   +1 more source

AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint

Advanced Science, EarlyView.
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz, Saurabh Upadhyay, Renjie Zhu, Hongliang Duan, Moustafa T. Gabr   +4 more
wiley   +1 more source

Electrical characterization of HfO₂ based resistive RAM devices having different bottom electrode metallizations [PDF]

, 2018
HfO 2 based resistive RAM devices as the important candidates of future embedded non-volatile memory technology were investigated using state of art physical and electrical characterization methods. Memory stacks used for measurements, named MARS, having
Tekin, Serdar B.
core  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Reconstruction of Ultrafine MnS‐Induced Vacancy‐Rich Co9S6.29 Precatalysts in Mesoporous S‐Doped N‐Rich Hollow Carbon Nanotubes Enables Dynamic O‐Vacancy Cycling for High‐Performance Zn‐Air Batteries

Advanced Science, EarlyView.
We develop vacancy‐rich Co9S6.29 precatalysts formed via ultrafine MnS‐induced lattice distortion in mesoporous S‐doped N‐rich hollow carbon nanotubes (CM@SNHCTs). This CM@SNHCT precatalyst is reconstructed into catalytically‐active cathode phases that enable efficient oxygen reduction/evolution reactions (ORR/OER) through dynamic O‐vacancy formation ...
Debarani Devi Khumujam, Saleem Sidra, Ram Babu Ghising, Dong Won Kim, Jong Hui Choi, Gwanho Lee, Benzhi Wang, Hyung Mo Jeong, Sang‐Il Choi, Do Hwan Kim, Jeung Ku Kang   +10 more
wiley   +1 more source

An enhanced behavioral model for resistive RAMs and its application [PDF]

, 2020
Emerging electronic devices are promising to drive the performance of computer systems to new heights, against the notable saturation in traditional transistor-based architectures. Among them, resistive RAM -- or ReRAM -- has attracted a lot of attention
Radakovits, David
core  

Investigating non-volatile memory architectures for neuromorphic systems with CMOS spike-timed synaptic plasticity

Discover Computing
Learning is crucial for the brain’s ability to adapt to changing conditions. We suggest a collection of novel neuromorphic construction circuits, adjustable synapse circuits, and CMOS Spike Based Driven Synaptic Plasticity (CSBDSP) erudition algorithm ...
Joshika Sharma, Shyam Akashe, Govind Murari Upadhyay   +2 more
doaj   +1 more source

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

Advanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen, Xiongfeng He, Zihao Li, Zidong Chen, Jiajin Sun, Xinyu Jiang, Yunhui Zhang, Lizhang Wu, Ran Wang, Jingnan Lu, Bo Wang, Kezhou Cai, Baocai Xu   +12 more
wiley   +1 more source

Modeling of Self-Aligned Selector Based on Ultra-Thin Metal Oxide for Resistive Random-Access Memory (RRAM) Crossbar Arrays

Nanomaterials
Resistive random-access memory (RRAM) is a crucial element for next-generation large-scale memory arrays, analogue neuromorphic computing and energy-efficient System-on-Chip applications.
Mikhail Fedotov, Viktor Korotitsky, Sergei Koveshnikov   +2 more
doaj   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source