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Journal articles on the topic 'Artificial dendrite'

Author: Grafiati

Published: 7 July 2024

Last updated: 31 July 2025

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1

Jia, Dongbao, Weixiang Xu, Dengzhi Liu, Zhongxun Xu, Zhaoman Zhong, and Xinxin Ban. "Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning." Discrete Dynamics in Nature and Society 2022 (July 4, 2022): 1–14. http://dx.doi.org/10.1155/2022/3259222.

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Artificial neural networks have achieved a great success in simulating the information processing mechanism and process of neuron supervised learning, such as classification. However, traditional artificial neurons still have many problems such as slow and difficult training. This paper proposes a new dendrite neuron model (DNM), which combines metaheuristic algorithm and dendrite neuron model effectively. Eight learning algorithms including traditional backpropagation, classic evolutionary algorithms such as biogeography-based optimization, particle swarm optimization, genetic algorithm, popu

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2

Liu, Yang. "Overview of the Recent Progress of Suppressing the Dendritic Growth on Lithium Metal Anode for Rechargeable Batteries." Journal of Physics: Conference Series 2152, no. 1 (2022): 012060. http://dx.doi.org/10.1088/1742-6596/2152/1/012060.

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Abstract The lithium metal has been considered as a competitive material for anode on the high-energy storage battery because of its various advantages, such as high capacity, low density, and the lowest electrochemical potential. However, the uncontrolled dendritic growth on the anode surface could cause the short circuit, even explosion of the battery. Therefore, strategies about how to effectively inhibit the formation of dendrites is of great importance. This paper will first give a brief introduction on the growth of dendrites. The attention is then focused on the recent advancements to s

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Cheng, Shaoyong. "Mitigating Lithium Dendrite Growth through Anode Material Selection and Optimization in Lithium Metal Batteries." MATEC Web of Conferences 410 (2025): 01028. https://doi.org/10.1051/matecconf/202541001028.

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Lithium dendrite growth in lithium metal batteries (LMBs) causes capacity loss, short circuits, and thermal runaway. This study explores anode material optimization and structural design to mitigate dendrite formation. Freestanding Li membranes fabricated with lignin- containing cellulose nanofibers (LCNF) and MXene form a robust, low- porosity structure that suppresses dendrites. Three-dimensional (3D) current collectors homogenize electric fields and regulate Li-ion flux, stabilizing Li deposition. An artificial solid electrolyte interphase (SEI) layer based on sp²- hybridized covalent organ

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Tanaka, Makito, Tetsuro Sasada, Tetsuya Nakamoto, et al. "Immunogenicity of Artificial Dendritic Cells Is Upregulated by ROCK Inhibition-Mediated Dendrite Formation." Blood 114, no. 22 (2009): 3022. http://dx.doi.org/10.1182/blood.v114.22.3022.3022.

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Abstract Abstract 3022 Poster Board II-998 Dendritic cells (DC) are “professional” antigen-presenting cells (APC) that can prime T cells. Their characteristic morphology and phenotype segregate them from other APC. Many studies suggest that mature DC are able to induce potent antitumor T cell immunity that can reject tumors. Based on this, numerous cancer vaccine trials using ex vivo generated DC have been conducted in humans. However, the observed objective response rates in these studies have been disappointing. This could partially be attributed to difficulties in generating large numbers o

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Mu, Yanlu, Tianyi Zhou, Zhaoyi Zhai, et al. "Metal organic complexes as an artificial solid-electrolyte interface with Zn-ion transfer promotion for long-life zinc metal batteries." Nanoscale 13, no. 48 (2021): 20412–16. http://dx.doi.org/10.1039/d1nr05753g.

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The schematic diagram for the plating/stripping process of Zn. (a) Corrosion, by-products, and Zn dendrites are observed on a bare Zn electrode. (b) The Zn–THBA protective layer endows a dense and dendrite-free plating/stripping morphology.

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Jing, Zhaokun, Yuchao Yang, and Ru Huang. "Dual-mode dendritic devices enhanced neural network based on electrolyte gated transistors." Semiconductor Science and Technology 37, no. 2 (2021): 024002. http://dx.doi.org/10.1088/1361-6641/ac3f21.

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Abstract As a fundamental component of biological neurons, dendrites have been proven to have crucial effects in neuronal activities. Single neurons with dendrite structures show high signal processing capability that is analogous to a multilayer perceptron (MLP), whereas oversimplified point neuron models are still prevalent in artificial intelligence algorithms and neuromorphic systems and fundamentally limit their efficiency and functionality of the systems constructed. In this study, we propose a dual-mode dendritic device based on electrolyte gated transistor, which can be operated to gen

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7

Berger, Thomas, Matthew E. Larkum, and Hans-R. Lüscher. "High I h Channel Density in the Distal Apical Dendrite of Layer V Pyramidal Cells Increases Bidirectional Attenuation of EPSPs." Journal of Neurophysiology 85, no. 2 (2001): 855–68. http://dx.doi.org/10.1152/jn.2001.85.2.855.

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Despite the wealth of recent research on active signal propagation along the dendrites of layer V neocortical pyramidal neurons, there is still little known regarding the traffic of subthreshold synaptic signals. We present a study using three simultaneous whole cell recordings on the apical dendrites of these cells in acute rat brain slices to examine the spread and attenuation of spontaneous excitatory postsynaptic potentials (sEPSPs). Equal current injections at each of a pair of sites separated by ∼500 μm on the apical dendrite resulted in equal voltage transients at the other site (“recip

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Peng, Hong, Tingting Bao, Xiaohui Luo, et al. "Dendrite P systems." Neural Networks 127 (July 2020): 110–20. http://dx.doi.org/10.1016/j.neunet.2020.04.014.

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9

Zhang, Xiliang, Sichen Tao, Zheng Tang, Shuxin Zheng, and Yoki Todo. "The Mechanism of Orientation Detection Based on Artificial Visual System for Greyscale Images." Mathematics 11, no. 12 (2023): 2715. http://dx.doi.org/10.3390/math11122715.

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Human visual system is a crucial component of the nervous system, enabling us to perceive and understand the surrounding world. Advancements in research on the visual system have profound implications for our understanding of both biological and computer vision. Orientation detection, a fundamental process in the visual cortex where neurons respond to linear stimuli in specific orientations, plays a pivotal role in both fields. In this study, we propose a novel orientation detection mechanism for local neurons based on dendrite computation, specifically designed for grayscale images. Our model

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10

Chakilam, Shashikanth, Dan Ting Li, Zhang Chuan Xi, Rimvydas Gaidys, and Audrone Lupeikiene. "Morphological Study of Insect Mechanoreceptors to Develop Artificial Bio-Inspired Mechanosensors." Engineering Proceedings 2, no. 1 (2020): 70. http://dx.doi.org/10.3390/ecsa-7-08199.

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Mechanoreceptors of the insect play a vital role for the insect to sense and monitor the environmental parameters, like flow, tactile pressure, etc. This paper presents the studies made on the morphology of the mechanoreceptor of the insect Blattella asahinai (scientific name of cockroach) that is a hair-like structure known as trichoid sensilla, by scanning electron microscope and confocal laser microscope. The scanned images show the details of sensilla components in which the hair is embedded in the sockets, which are connected with the cuticle and joint membrane, where the dendrite touches

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11

Gong, Mingchen. "The growth mechanism and strategies of dendrite in lithium metal anode." Highlights in Science, Engineering and Technology 83 (February 27, 2024): 533–37. http://dx.doi.org/10.54097/0wy2hf86.

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Lithium metal batteries offer an incredibly high potential energy density when compared to the present large-scale commercial lithium-ion batteries. In recent years, with the development of technology, the energy density of lithium-ion batteries has rapidly reached its theoretical energy density. People are gradually pursuing higher energy density batteries. The negative electrode of batteries, made of lithium metal, has the lowest reduction potential and the highest theoretical specific capacity, which has great research value and a number of possible uses for the creation of secondary batter

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12

Jeon, Yeong Hoon, Seul Ki Choi, Yun Seung Nah, Wonil Shin, Yong-Ho Choa, and Minho Yang. "SnF2-Induced LiF Interphase for Stable Lithium Metal Anodes with Suppressed Dendrite Growth." Journal of Powder Materials 32, no. 3 (2025): 212–21. https://doi.org/10.4150/jpm.2025.00164.

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Lithium (Li) metal is a promising anode for next-generation batteries due to its high capacity, low redox potential, and low density. However, dendrite growth and interfacial instability limit its use. In this study, an artificial solid electrolyte interphase layer of LiF and Li-Sn (LiF@Li-Sn) was fabricated by spray-coating SnF2 onto Li. The LiF@Li-Sn anode exhibited improved air stability and electrochemical performance. Electrochemical impedance spectroscopy indicated a charge transfer resistance of 25.2 Ω after the first cycle. In symmetric cells, it maintained a low overpotential of 27 mV

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13

Zhang, Yuanjun, Guanyao Wang, Liang Tang, et al. "Stable lithium metal anodes enabled by inorganic/organic double-layered alloy and polymer coating." Journal of Materials Chemistry A 7, no. 44 (2019): 25369–76. http://dx.doi.org/10.1039/c9ta09523c.

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We develop an alloy/polymer double-layered protective coating as an artificial solid electrolyte interphase (SEI) to mitigate immoderate dendrite growth during the cycling process for lithium metal anodes (LMAs).

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14

Tan, Jinqi. "Application of artificial SEI layers for lithium metal battery anodes." Applied and Computational Engineering 85, no. 1 (2024): 72–77. http://dx.doi.org/10.54254/2755-2721/85/20240759.

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Unpredictable lithium dendrite growth on the metal anode and repeated destruction and creation of the solid electrolyte interphase (SEI) layer result in hidden risks and low Coulombic efficiencies (CEs). Researchers have found that designing a high-quality SEI layer can prevent the growth of dendrite. However, designing and forming a high-quality SEI layer is still a problem. Making trade-off between capacity reduction caused by the SEI layer and better cycle stability significantly limits the general performance of lithium metal batteries. In this research, characteristics of SEI layers and s

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15

LaBerge, David, and Ray Kasevich. "The apical dendrite theory of consciousness." Neural Networks 20, no. 9 (2007): 1004–20. http://dx.doi.org/10.1016/j.neunet.2007.09.006.

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16

Hu, An Jun, and Yi Nuo Li. "A Muti-Functional Artificial Interphase for Dendrite-Free Lithium Deposition." Key Engineering Materials 939 (January 25, 2023): 129–33. http://dx.doi.org/10.4028/p-9s9iqu.

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The solid electrolyte interphase (SEI) is the most intimate component affecting Li deposition in lithium metal anode (LMA). In order to guarantee the safety of LMA, the unstable intrinsic SEI needs to be replaced by the functional artificial interphase (ASEI). Herein, tailoring the interphases for realizing substantially enhanced lithium plating/striping behaviors (over 120 cycles for Li||Cu cells) is presented. This favorable ASEI containing Li3N component is in-situ fabricated by cycling after hexagonal boron nitride (h-BN) were coated on the LMA surface.

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17

Zhang, Xiliang, Tang Zheng, and Yuki Todo. "The Mechanism of Orientation Detection Based on Artificial Visual System." Electronics 11, no. 1 (2021): 54. http://dx.doi.org/10.3390/electronics11010054.

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As an important part of the nervous system, the human visual system can provide visual perception for humans. The research on it is of great significance to improve our understanding of biological vision and the human brain. Orientation detection, in which visual cortex neurons respond only to linear stimuli in specific orientations, is an important driving force in computer vision and biological vision. However, the principle of orientation detection is still unknown. This paper proposes an orientation detection mechanism based on dendrite calculation of local orientation detection neurons. W

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18

Chang, Shu Jui, Hsi Chen, and Nae-Lih (Nick) Wu. "Industry-Level Safety Enhancement of High-Energy Li-Ion Batteries Via Material-Level Surface Modification." ECS Meeting Abstracts MA2024-02, no. 7 (2024): 807. https://doi.org/10.1149/ma2024-027807mtgabs.

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Developing high-energy-density lithium-ion batteries (LIBs) to meet the needs of electric vehicles (EVs) and sustainable energy storage applications brings more safety issues simultaneously. On the anode side, graphite has the advantages of a high abundance and low lithiation electrochemical potential, which reduces the cost of LIBs and brings higher energy. However, graphite is vulnerable to the plating of metallic Li dendrite, which could easily arise from over-lithiation due to heterogeneity in the anode electrode or fast charging. Li dendritic deposits could penetrate through the separator

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19

Zhuang, Dongmei, Xianli Huang, Zhihui Chen, et al. "A novel artificial film of lithiophilic polyethersulfone for inhibiting lithium dendrite." Electrochimica Acta 403 (January 2022): 139668. http://dx.doi.org/10.1016/j.electacta.2021.139668.

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20

Xu, Rui, Xue-Qiang Zhang, Xin-Bing Cheng, et al. "Artificial Soft-Rigid Protective Layer for Dendrite-Free Lithium Metal Anode." Advanced Functional Materials 28, no. 8 (2018): 1705838. http://dx.doi.org/10.1002/adfm.201705838.

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21

Wu, Nae-Lih (Nick), Shu Jui Chang, and Hsi Chen. "Using Artificial Solid-Electrolyte Interphase Coatings for Enhancing Safety of High-Energy Li-Ion Batteries from Material Level." ECS Meeting Abstracts MA2023-02, no. 3 (2023): 485. http://dx.doi.org/10.1149/ma2023-023485mtgabs.

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The development of high-energy-density Li-ion batteries (LIBs) to meet the demand for electric vehicles and sustainable energy storage applications simultaneously brings about more safety issues. On the anode side, graphite has been a major anode material for high-energy LIBs and is anticipated to continuously play an important role even for the high-capacity Si-graphite (Si-Gr) composite anodes in the near future. The low lithiation electrochemical potential of graphite enables a lower anode potential allowing higher energy for a full cell but is vulnerable to the plating of metallic Li dendr

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22

Pan, Qianmu, Yongkun Yu, Yuxin Zhu, et al. "Constructing a LiPON Layer on a 3D Lithium Metal Anode as an Artificial Solid Electrolyte Interphase with Long-Term Stability." Batteries 10, no. 1 (2024): 30. http://dx.doi.org/10.3390/batteries10010030.

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The problem of lithium dendrite growth has persistently hindered the advancement of lithium metal batteries. Lithium phosphorus oxynitride (LiPON), functioning as an amorphous solid electrolyte, is extensively employed as an artificial solid electrolyte interphase (SEI) owing to its remarkable stability and mechanical strength, which is beneficial for effectively mitigating dendrite growth. Nevertheless, the significant challenge arises from the volume changes in the Li metal anode during cycling, leading to the vulnerability of LiPON due to its high rigidity, which impedes the widespread use

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Li, Zhengang, Wenjun Deng, Chang Li, et al. "Uniformizing the electric field distribution and ion migration during zinc plating/stripping via a binary polymer blend artificial interphase." Journal of Materials Chemistry A 8, no. 34 (2020): 17725–31. http://dx.doi.org/10.1039/d0ta05253a.

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The PAM/PVP interphase prevents direct contact of the metal Zn anode with the aqueous electrolyte and uniformizes electric field distribution and ion migration during zinc plating/stripping, suppressing the zinc dendrite growth and side reactions.

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24

Song, Gyujin, Chihyun Hwang, Woo‐Jin Song, et al. "Breathable Artificial Interphase for Dendrite‐Free and Chemo‐Resistive Lithium Metal Anode." Small 18, no. 8 (2021): 2105724. http://dx.doi.org/10.1002/smll.202105724.

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25

Yao, Wei, Shijie He, Youcai Xue, et al. "V2CTx MXene Artificial Solid Electrolyte Interphases toward Dendrite-Free Lithium Metal Anodes." ACS Sustainable Chemistry & Engineering 9, no. 29 (2021): 9961–69. http://dx.doi.org/10.1021/acssuschemeng.1c03904.

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26

Yan, Jin, Gang Zhi, Dezhi Kong, et al. "3D printed rGO/CNT microlattice aerogel for a dendrite-free sodium metal anode." Journal of Materials Chemistry A 8, no. 38 (2020): 19843–54. http://dx.doi.org/10.1039/d0ta05817c.

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27

Sossa, Humberto, and Elizabeth Guevara. "Efficient training for dendrite morphological neural networks." Neurocomputing 131 (May 2014): 132–42. http://dx.doi.org/10.1016/j.neucom.2013.10.031.

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28

Shi, Pengcheng, Xu Wang, Xiaolong Cheng, and Yu Jiang. "Progress on Designing Artificial Solid Electrolyte Interphases for Dendrite-Free Sodium Metal Anodes." Batteries 9, no. 7 (2023): 345. http://dx.doi.org/10.3390/batteries9070345.

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Nature-abundant sodium metal is regarded as ideal anode material for advanced batteries due to its high specific capacity of 1166 mAh g−1 and low redox potential of −2.71 V. However, the uncontrollable dendritic Na formation and low coulombic efficiency remain major obstacles to its application. Notably, the unstable and inhomogeneous solid electrolyte interphase (SEI) is recognized to be the root cause. As the SEI layer plays a critical role in regulating uniform Na deposition and improving cycling stability, SEI modification, especially artificial SEI modification, has been extensively inves

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Chen, Yue-Sheng, and Yu-Sheng Su. "Lithium Silicates as an Artificial SEI for Rechargeable Lithium Metal Batteries." ECS Meeting Abstracts MA2023-02, no. 4 (2023): 680. http://dx.doi.org/10.1149/ma2023-024680mtgabs.

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The major motivation of replacing lithium-ion batteries with lithium metal batteries is to obtain higher energy density by adopting the metallic lithium anode (3860 mAh g-1, theoretically), which means they can store more energy in the same volume or weight. One of the main challenges of rechargeable lithium metal batteries is the formation of lithium dendrites during the charging process.1 Lithium dendrites are tiny needle-like structures that can grow from the surface of the lithium metal electrode and penetrate the separator, causing battery short-circuiting. This can lead to safety issues,

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Di, Yanyan, Zhizhen Zheng, Shengyong Pang, Jianjun Li, and Yang Zhong. "Dimension Prediction and Microstructure Study of Wire Arc Additive Manufactured 316L Stainless Steel Based on Artificial Neural Network and Finite Element Simulation." Micromachines 15, no. 5 (2024): 615. http://dx.doi.org/10.3390/mi15050615.

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The dimensional accuracy and microstructure affect the service performance of parts fabricated by wire arc additive manufacturing (WAAM). Regulating the geometry and microstructure of such parts presents a challenge. The coupling method of an artificial neural network and finite element (FE) is proposed in this research for this purpose. Back-propagating neural networks (BPNN) based on optimization algorithms were established to predict the bead width (BW) and height (BH) of the deposited layers. Then, the bead geometry was modeled based on the predicted dimension, and 3D FE heat transfer simu

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Deng, Kuirong, Dongmei Han, Shan Ren, Shuanjin Wang, Min Xiao, and Yuezhong Meng. "Single-ion conducting artificial solid electrolyte interphase layers for dendrite-free and highly stable lithium metal anodes." Journal of Materials Chemistry A 7, no. 21 (2019): 13113–19. http://dx.doi.org/10.1039/c9ta02407g.

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32

Bull, Larry. "Are Artificial Dendrites Useful in Neuro-Evolution?" Artificial Life, June 30, 2021, 1–5. http://dx.doi.org/10.1162/artl_a_00338.

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Abstract The significant role of dendritic processing within neuronal networks has become increasingly clear. This letter explores the effects of including a simple dendrite-inspired mechanism into neuro-evolution. The phenomenon of separate dendrite activation thresholds on connections is allowed to emerge under an evolutionary process. It is shown how such processing can be positively selected for, particularly for connections between the hidden and output layers, and increases performance.

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Li Ting, Gao, Pingyuan Huang, and zhan-sheng Guo. "Understanding Charge-Transfer and Mass-Transfer Effects on Dendrite Growth and Fast Charging of Li Metal Battery." Journal of The Electrochemical Society, April 25, 2023. http://dx.doi.org/10.1149/1945-7111/acd02b.

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Abstract Lithium (Li) metal is facing the challenge of poor cyclic performance and potential safety hazards caused by Li dendrites growth. Herein, the role of charge-transfer and mass-transfer process on dendrite growth and fast charging is illustrated. The effects of charge-transfer coefficient, applied current density, concave-convex structure, and properties of artificial solid electrolyte interphase (SEI) on guiding the lithium dendrite growth are investigated via a mechano-electrochemical phase-field model. The charge-transfer coefficient is meaningful for regulating the redox rate of ele

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Li, Zhuangzhuang, Ya Lin, Xuanyu Shan, et al. "Optogenetics‐Inspired Nanofluidic Artificial Dendrite with Spatiotemporal Integration Functions." Advanced Materials, May 16, 2025. https://doi.org/10.1002/adma.202502438.

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AbstractDendrites play an essential role in processing functions by facilitating the integration of spatial and temporal information in biological system. Nanofluidic memristors, which harness ions for signal transmission within electrolyte solutions, closely resemble biological neuronal ion channels and hold the potential for the development of biorealistic neuromorphic devices. Herein, inspired by the optogenetic technique that utilized light to tune the ions dynamic, an optical‐controlled nanofluidic artificial dendrite by embedding layered graphene oxide (GO) within a polydimethylsiloxane

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Qin, Chichu, Dong Wang, Yumin Liu, et al. "Tribo-electrochemistry induced artificial solid electrolyte interface by self-catalysis." Nature Communications 12, no. 1 (2021). http://dx.doi.org/10.1038/s41467-021-27494-z.

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AbstractPotassium (K) metal is a promising alkali metal anode for its high abundance. However, dendrite on K anode is a serious problem which is even worse than Li. Artificial SEI (ASEI) is one of effective routes for suppressing dendrite. However, there are still some issues of the ASEI made by the traditional methods, e.g. weak adhesion, insufficient/uneven reaction, which deeply affects the ionic diffusion kinetics and the effect of inhibiting dendrites. Herein, through a unique self-catalysis tribo-electrochemistry reaction, a continuous and compact protective layer is successfully constru

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Yang, Yifei, Mingkun Xu, Tianhang Zhang, et al. "Bio-realistic and versatile artificial dendrites made of anti-ambipolar transistors." Neuromorphic Computing and Engineering, June 13, 2025. https://doi.org/10.1088/2634-4386/ade428.

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Abstract The understanding of neural networks as neuron-synapse binaries has been the foundation of neuroscience, and therefore, the emerging neuromorphic computing technology that takes inspiration from the brain. This dogma, however, has been increasingly challenged by recent neuroscience research in which the downplayed dendrites were found to be active, dynamically unique and computationally powerful. To date, research on artificial dendrites is scarce and the few existing devices are still far from versatile or (and) bio-realistic. A breakthrough is hampered by the limited available physi

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Rowland, Conor, Julian H. Smith, Saba Moslehi, Bruce Harland, John Dalrymple-Alford, and Richard P. Taylor. "Neuron arbor geometry is sensitive to the limited-range fractal properties of their dendrites." Frontiers in Network Physiology 3 (January 25, 2023). http://dx.doi.org/10.3389/fnetp.2023.1072815.

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Fractal geometry is a well-known model for capturing the multi-scaled complexity of many natural objects. By analyzing three-dimensional images of pyramidal neurons in the rat hippocampus CA1 region, we examine how the individual dendrites within the neuron arbor relate to the fractal properties of the arbor as a whole. We find that the dendrites reveal unexpectedly mild fractal characteristics quantified by a low fractal dimension. This is confirmed by comparing two fractal methods—a traditional “coastline” method and a novel method that examines the dendrites’ tortuosity across multiple scal

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Zhao, Zirui, Junchao Xia, Si Wu, et al. "Insights Into Dendritic Growth Mechanisms in Batteries: A Combined Machine Learning and Computational Study." Battery Energy, March 22, 2025. https://doi.org/10.1002/bte2.20240088.

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ABSTRACTIn recent years, researchers have increasingly sought batteries as an efficient and cost‐effective solution for energy storage and supply, owing to their high energy density, low cost, and environmental resilience. However, the issue of dendrite growth has emerged as a significant obstacle in battery development. Excessive dendrite growth during charging and discharging processes can lead to battery short‐circuiting, degradation of electrochemical performance, reduced cycle life, and abnormal exothermic events. Consequently, understanding the dendrite growth process has become a key ch

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Miller, Julian Francis. "IMPROBED: Multiple Problem-Solving Brain via Evolved Developmental Programs." Artificial Life, November 3, 2021, 1–36. http://dx.doi.org/10.1162/artl_a_00346.

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Abstract Artificial neural networks (ANNs) were originally inspired by the brain; however, very few models use evolution and development, both of which are fundamental to the construction of the brain. We describe a simple neural model, called IMPROBED, in which two neural programs construct an artificial brain that can simultaneously solve multiple computational problems. One program represents the neuron soma and the other the dendrite. The soma program decides whether neurons move, change, die, or replicate. The dendrite program decides whether dendrites extend, change, die, or replicate. S

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Xu, Han, Dashan Shang, Qing Luo, et al. "A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing." Nature Communications 14, no. 1 (2023). http://dx.doi.org/10.1038/s41467-023-42172-y.

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AbstractNeuromorphic computing aims to emulate the computing processes of the brain by replicating the functions of biological neural networks using electronic counterparts. One promising approach is dendritic computing, which takes inspiration from the multi-dendritic branch structure of neurons to enhance the processing capability of artificial neural networks. While there has been a recent surge of interest in implementing dendritic computing using emerging devices, achieving artificial dendrites with throughputs and energy efficiency comparable to those of the human brain has proven challe

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Ding, Yunfang, Tongtong Zheng, Haoyu Wu, et al. "Sn Protective Layer via Electroless Manufacturing for Stable Zinc Metal Batteries." ChemistrySelect 10, no. 10 (2025). https://doi.org/10.1002/slct.202405068.

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AbstractAqueous zinc metal battery is facing the challenges of zinc dendrite growth, zinc anode corrosion, and hydrogen evolution reaction (HER). Here, we prepared an artificial interface layer by the electroless precipitation method, in which Ni, Sn, and Ag layers were uniformly grown on Cu foil for dendritic‐free aqueous zinc batteries. Dendrite growth and side reactions were inhibited by inducing uniform Zn deposition, among which Sn‐modified Cu electrode (Sn@Cu) showed the best electrochemical performance because of its highest Zn2+ diffusion and corrosion inhibition ability. The Sn@Cu sym

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Shan, Tianyu, Zhijin Ju, Ding Xiao, et al. "Molecularly woven artificial solid electrolyte interphase." Angewandte Chemie International Edition, May 22, 2025. https://doi.org/10.1002/anie.202505056.

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Lithium metal batteries (LMBs) are the most promising candidates for next‐generation high‐energy‐density storage systems, but they suffer from destructive dendrite growth. Here we integrate cutting‐edge molecular weaving technology into the fabrication of artificial solid electrolyte interphases (ASEI) to realize dendrite‐free and long‐lasting LMBs. Specifically, weaving polymer chains into a two‐dimensional (2D) plane endows polymer network crystals with high strength and elasticity, and creates angstrom‐level meshes for Li‐ion transport and uniform deposition. As a result, related Li plating

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Lee, Young-Hoon, Eunbin Park, Yunseo Jeoun, et al. "Rapid construction of a tellurium artificial interface to form a highly reversible zinc anode." EES Batteries, 2025. https://doi.org/10.1039/d4eb00015c.

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Dendrite growth limits the lifespan of aqueous zinc-ion batteries (AZIBs). The tellurium complex treatment forms a tellurium layer on the zinc anode, suppressing dendrite growth. This enables long-term stable and high-performance AZIBs.

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Guo, Yafei, Chong Luo, Mingfang Yang, et al. "Dynamic Covalent Bonds Regulate Zinc Plating/Stripping Behaviors for High‐Performance Zinc Ion Batteries." Angewandte Chemie, May 17, 2024. http://dx.doi.org/10.1002/ange.202406597.

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Artificial interfaces provide a comprehensive approach to controlling zinc dendrite and surface corrosion in zinc‐based aqueous batteries (ZABs). However, due to consistent volume changes during zinc plating/stripping, traditional interfacial layers cannot consistently adapt to the dendrite surface, resulting in uncontrolled dendrite growth and hydrogen evolution. Herein, dynamic covalent bonds exhibit the Janus effect towards zinc deposition at different current densities, presenting a holistic strategy for stabilizing zinc anode. The PBSC intelligent artificial interface consisting of dynami

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45

Guo, Yafei, Chong Luo, Mingfang Yang, et al. "Dynamic Covalent Bonds Regulate Zinc Plating/Stripping Behaviors for High‐Performance Zinc Ion Batteries." Angewandte Chemie International Edition, May 17, 2024. http://dx.doi.org/10.1002/anie.202406597.

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Abstract:

Artificial interfaces provide a comprehensive approach to controlling zinc dendrite and surface corrosion in zinc‐based aqueous batteries (ZABs). However, due to consistent volume changes during zinc plating/stripping, traditional interfacial layers cannot consistently adapt to the dendrite surface, resulting in uncontrolled dendrite growth and hydrogen evolution. Herein, dynamic covalent bonds exhibit the Janus effect towards zinc deposition at different current densities, presenting a holistic strategy for stabilizing zinc anode. The PBSC intelligent artificial interface consisting of dynami

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46

Kimura, Minami, Jason Y. Tann, Oliver R. Wilkes, Fangke Xu, Henrik Skibbe, and Adrian W. Moore. "Use of DeTerm for AutomatedDrosophilaDendrite Arbor Terminal Counts." Cold Spring Harbor Protocols, December 26, 2023. http://dx.doi.org/10.1101/pdb.prot108151.

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Neurons have a complex dendritic architecture that governs information flow through a circuit. Manual quantification of dendritic arbor morphometrics is time-consuming and can be inaccurate. Automated quantification systems such as DeTerm help to overcome these limitations. DeTerm is a software tool that automatically recognizes dendrite branch terminals with high precision. It uses an artificial neural network to label the terminals, count them, and provide each terminal's positional data. DeTerm can recognize the dendritic terminals ofDrosophiladendritic arborization (da) neurons, and it can

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Zhang, Qiankui, Si Liu, Yitong Lu, Lidan Xing, and Weishan Li. "Artificial interphases enable dendrite-free li-metal anodes." Journal of Energy Chemistry, October 2020. http://dx.doi.org/10.1016/j.jechem.2020.09.030.

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Zhu, Junchao, Guoquan Jiang, Qingchun Chen, Nan Qiu, and Yuan Wang. "Dendrite Elimination by Regulating Ion and Electron Distribution at the Electrode‐Electrolyte Interface." Advanced Energy Materials, April 30, 2025. https://doi.org/10.1002/aenm.202501196.

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AbstractWhile planar Zn deposition is extensively explored for dendrite suppression, the critical stripping process governing morphology evolution remains underexplored. An interfacial ion/electron redistribution strategy is proposed that establishes bidirectional regulation of plating/stripping dynamics through rationally designed Cu microsquare‐patterned Zn electrodes. The heterogeneous Cu microsquare makes interfacial ion/electron redistributed, and random dendritic growth is restricted to certain regions and is no longer characterized by sustained growth. This interfacial engineering syner

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Li, Weiyu, William Korbitz, Hamdi A. Tchelepi, and Arnaud Tran. "SEI-Electrolyte Dyads for Dendrite Suppression in Li-Metal Batteries." Journal of The Electrochemical Society, July 15, 2025. https://doi.org/10.1149/1945-7111/adf013.

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Abstract The solid–electrolyte interphase (SEI) plays a crucial role in Li-metal batteries, yet its influence on dendritic growth remains poorly understood. We present a physics-based stability analysis of dendrite initiation explicitly incorporating a SEI layer between the Li-metal anode and electrolyte, without assuming electroneutrality. Our model examines how SEI transport properties, thickness, and interfacial energy interact with electrolyte characteristics (diffusion coefficient, permittivity, interfacial energy) and operating conditions to govern interfacial morphological stability. We

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Wang, Kun, Xiangxiang Wang, Jianhong Gao, et al. "Trinitarian Design of Gradient Artificial Interphase Enables Colossal Granular Li Deposits for Stable Li‐Metal Batteries." Small, June 14, 2024. http://dx.doi.org/10.1002/smll.202403435.

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AbstractThe cycling lifespan of Li‐metal batteries is compromised by the unstable solid electrolyte interphase (SEI) and the continuous Li dendrites, restricting their practical implementations. Given these challenges, establishing an artificial SEI holds promise. Herein, a trinitarian gradient interphase is innovatively designed through composite coatings of magnesium fluoride (MgF2), N‐hexadecyltrimethylammonium chloride (CTAC), and polyvinylidene fluoride‐hexafluoropropylene copolymer (PVDF‐HFP) on Li‐metal anode (LMA). Specifically, the MgF2/CTAC/PVDF‐HFP SEI spontaneously forms a lithium

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