Elucidating Sodium Ion Storage Mechanisms in Hard Carbon Anodes at the Electronic Level
Advanced Functional Materials, EarlyView.High‐resolution, multi‐frequency continuous wave, and pulsed Electron Paramagnetic Resonance (EPR) spectroscopy uncover the intricate Na ion storage mechanisms in hard carbon. This study reveals the coexistence of Na ion intercalation and solvent co‐intercalation, alongside a subsequent transition of Na ions from ionic to quasi‐metallic to metallic ...
Qingbing Xia +5 more
wiley +1 more source
Aging Memories Generate More Fluent Dialogue Responses with Memory Augmented Neural Networks [PDF]
arXiv, 2019 Memory Networks have emerged as effective models to incorporate Knowledge Bases (KB) into neural networks. By storing KB embeddings into a memory component, these models can learn meaningful representations that are grounded to external knowledge. However, as the memory unit becomes full, the oldest memories are replaced by newer representations.
arxiv
On external-memory MST, SSSP and multi-way planar graph separation [PDF]
, 2004 Lars Arge +2 more
openalex +1 more source
High‐Speed and Scalable Wet Spinning of Graphene/Liquid Crystalline Elastomer Composite Filaments
Advanced Functional Materials, EarlyView.Polydomain filaments from graphene/liquid crystalline elastomer (LCE) composites are scalably‐manufactured by wet spinning across a wide range of diameters (≈137–1128 µm) at a speed up to 4500 m h−1 through a double diffusion coagulation mechanism, enabling fast actuation and optimized mechanical performance for broad applications.
Antonio Proctor Martinez +5 more
wiley +1 more source
Evaluating Learned Indexes for External-Memory Joins [PDF]
arXivJoins are among the most time-consuming and data-intensive operations in relational query processing. Much research effort has been applied to the optimization of join processing due to their frequent execution. Recent studies have shown that CDF-based learned models can create smaller and faster indexes, accelerating in-memory joins.
arxiv
Tin‐Based 2D/3D Perovskite Vertical Heterojunction for High‐Performance Synaptic Phototransistors
Advanced Functional Materials, EarlyView.Phototransistors based on tin‐based 2D/3D perovskite heterostructures show an ultrahigh responsivity and detectivity at a low gate voltage across a broad wavelength region from ultraviolet to near‐infrared. The devices can replicate neuromorphic learning and remembering behaviors to light stimuli, in addition to electric depression and memory erasure ...
Hok‐Leung Loi +10 more
wiley +1 more source
Head-First Memory Allocation on Best-Fit with Space-Fitting [PDF]
arXivAlthough best-fit is known to be slow, it excels at optimizing memory space utilization. Interestingly, by keeping the free memory region at the top of the memory, the process of memory allocation and deallocation becomes approximately 34.86% faster while also maintaining external fragmentation at minimum.
arxiv
A Parallel External-Memory Frontier Breadth-First Traversal Algorithm for Clusters of Workstations [PDF]
, 2006 Robert Niewiadomski +2 more
openalex +1 more source
Tunable Tactile Synapses Enabled by Erasable Doping in Iongel‐Gated Nanotube Network Transistors
Advanced Functional Materials, EarlyView.Artificial tactile synaptic sensors are realized by an iongel‐gated single‐walled carbon nanotube (SWCNT) transistor with reversible doping characteristics. The device senses and memorizes tactile stimuli and exhibits gate bias‐dependent excitatory or inhibitory synaptic behavior.
Yan Huang +5 more
wiley +1 more source
EMA-VIO: Deep Visual–Inertial Odometry With External Memory Attention [PDF]
, 2022 Zheming Tu +5 more
openalex +3 more sources