Matter最新文献_第4页

Transforming the synthesis of carbon nanotubes with machine learning models and automation

IF 18.9 1区材料科学

Matter Pub Date : 2024-12-02 DOI: 10.1016/j.matt.2024.11.007

Yue Li, Shurui Wang, Zhou Lv, Zhaoji Wang, Yunbiao Zhao, Ying Xie, Yang Xu, Liu Qian, Yaodong Yang, Ziqiang Zhao, Jin Zhang

{"title":"Transforming the synthesis of carbon nanotubes with machine learning models and automation","authors":"Yue Li, Shurui Wang, Zhou Lv, Zhaoji Wang, Yunbiao Zhao, Ying Xie, Yang Xu, Liu Qian, Yaodong Yang, Ziqiang Zhao, Jin Zhang","doi":"10.1016/j.matt.2024.11.007","DOIUrl":"https://doi.org/10.1016/j.matt.2024.11.007","url":null,"abstract":"Carbon-based nanomaterials (CBNs) hold immense promise in electronics, energy, and mechanics. However, their practical applications face synthesis challenges stemming from complexities in structural control, large-area uniformity, and consistency, unaddressed by current research methodologies. Here, we introduce carbon copilot (CARCO), an artificial intelligence (AI)-driven platform that integrates transformer-based language models, robotic chemical vapor deposition (CVD), and data-driven machine learning models. Employing CARCO, we discovered a novel titanium-platinum bimetallic catalyst for high-density horizontally aligned carbon nanotube (HACNT) array synthesis, outperforming traditional catalysts. Furthermore, leveraging millions of virtual experiments, we achieved an unprecedented 56.25% precision in synthesizing predetermined densities of HACNT arrays. All were accomplished within just 43 days. This work not only advances the field of CBNs but also exemplifies the integration of AI with human expertise to overcome the limitations of traditional experimental approaches, marking a paradigm shift in nanomaterials research and paving the way for broader applications.","PeriodicalId":388,"journal":{"name":"Matter","volume":"16 1","pages":""},"PeriodicalIF":18.9,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Direct observation of structural disorder effects on iridium dioxide nanocrystal dissolution 直接观察结构紊乱对二氧化铱纳米晶体溶解的影响

IF 18.9 1区材料科学

Matter Pub Date : 2024-11-26 DOI: 10.1016/j.matt.2024.11.003

Matteo Fratarcangeli, S. Avery Vigil, Ziqing Lin, Conner J. Soderstedt, Ivan A. Moreno-Hernandez

{"title":"Direct observation of structural disorder effects on iridium dioxide nanocrystal dissolution","authors":"Matteo Fratarcangeli, S. Avery Vigil, Ziqing Lin, Conner J. Soderstedt, Ivan A. Moreno-Hernandez","doi":"10.1016/j.matt.2024.11.003","DOIUrl":"https://doi.org/10.1016/j.matt.2024.11.003","url":null,"abstract":"The current state-of-the-art electrocatalyst for the oxygen evolution reaction (OER) is iridium dioxide, providing a compromise between activity and stability. The low elemental abundance of iridium, coupled with the dissolution of iridium dioxide under operating conditions, prevents the global-scale implementation of electrolyzers. Understanding the origin of iridium dioxide dissolution at the nanoscale is crucial for the development of next-generation electrocatalysts that efficiently utilize iridium to meet energy demands. Herein, we report the influence of structural disorder, modulated by synthesis temperature, on the nanoscale dissolution dynamics and electrocatalytic activity of iridium dioxide nanocrystals. Our observations of dissolution on single nanocrystals revealed that structural disorder destabilized the OER-inactive (111) facets and had no substantial effect on the stability of the OER-active (110) facets. These findings highlight the importance of understanding nanoscale dynamic restructuring and suggest the possibility of developing highly active and stable (110)-based iridium dioxide electrocatalysts for water oxidation.","PeriodicalId":388,"journal":{"name":"Matter","volume":"17 1","pages":""},"PeriodicalIF":18.9,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142713356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Manipulating multimetallic effects: Programming size-tailored metal aerogels as self-standing electrocatalysts 操纵多金属效应：将尺寸定制的金属气凝胶编程为自立式电催化剂

IF 18.9 1区材料科学

Matter Pub Date : 2024-11-26 DOI: 10.1016/j.matt.2024.10.023

Qian Cui, Yi Li, Xiaoyue Sun, Beibei Weng, René Hübner, Yu Cui, Qiaoran Zhang, Yunjun Luo, Leining Zhang, Ran Du

引用次数: 0

A ferroelectric living interface for fine-tuned exosome secretion toward physiology-mimetic neurovascular remodeling 用于微调外泌体分泌以实现仿生学神经血管重塑的铁电活界面

IF 18.9 1区材料科学

Matter Pub Date : 2024-11-21 DOI: 10.1016/j.matt.2024.10.019

Mingxing Peng, Qilong Zhao, Anping Chai, Yutian Wang, Min Wang, Xuemin Du

{"title":"A ferroelectric living interface for fine-tuned exosome secretion toward physiology-mimetic neurovascular remodeling","authors":"Mingxing Peng, Qilong Zhao, Anping Chai, Yutian Wang, Min Wang, Xuemin Du","doi":"10.1016/j.matt.2024.10.019","DOIUrl":"https://doi.org/10.1016/j.matt.2024.10.019","url":null,"abstract":"Establishing vascular neural networks is critical for tissue regeneration. However, none of the existing approaches can replicate the physiological processes that varying extracellular cues sequentially play parts in different phases, thus hindering synergistic neurovascular remodeling. Here, we report a ferroelectric living interface for fine-tuned exosome secretion (LIFES) that harnesses unique topographical and electric (piezoelectric and photopyroelectric) signals and sustained generation of bioactive exosomes by rationally constructing a ferroelectric layer and a living cell layer. The LIFES exhibits physiology-mimicking paracrine effects, including sustained (∼192 h), phase-specific exosome secretion with tunable contents (∼8-fold increases) and programmable microRNA (miRNA) cargoes (initially pro-angiogenic and later pro-neurogenic), which overcome the limitations of the existing exosome delivery systems, such as short lifetime (∼24–48 h), difficult-to-preserve bioactivity, and non-changeable cargoes. LIFES allows for enhanced effectiveness in promoting neurovascular remodeling both <em>in vitro</em> and in challenging diabetic wound models, opening new avenues for next-generation intelligent materials and biomedical devices.","PeriodicalId":388,"journal":{"name":"Matter","volume":"98 1","pages":""},"PeriodicalIF":18.9,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biomimetic artificial neuromuscular fiber bundles with built-in adaptive feedback 内置自适应反馈的仿生人工神经肌肉纤维束

IF 18.9 1区材料科学

Matter Pub Date : 2024-11-20 DOI: 10.1016/j.matt.2024.10.022

Yuanhao Chen, Cristian Valenzuela, Yuan Liu, Xiao Yang, Yanzhao Yang, Xuan Zhang, Shaoshuai Ma, Ran Bi, Ling Wang, Wei Feng

{"title":"Biomimetic artificial neuromuscular fiber bundles with built-in adaptive feedback","authors":"Yuanhao Chen, Cristian Valenzuela, Yuan Liu, Xiao Yang, Yanzhao Yang, Xuan Zhang, Shaoshuai Ma, Ran Bi, Ling Wang, Wei Feng","doi":"10.1016/j.matt.2024.10.022","DOIUrl":"https://doi.org/10.1016/j.matt.2024.10.022","url":null,"abstract":"Skeletal muscles are composed of neuromuscular fiber bundles that combine the sensing capability of muscle spindle fibers with the actuation function of muscle fibers. However, it is difficult to develop artificial soft neuromuscular fiber bundles (NeuroMuscles) with sophisticated sensing-diagnosis-actuation autonomy. Herein, a unique rotational molding strategy is proposed to fabricate core-multishelled fibers with a liquid metal core, liquid crystal elastomer actuation layer, and adhesion sheath. The NeuroMuscles are developed by seamlessly welding multiple fibers through a self-reinforcing interface featuring independent channels for stimulus source and perception signals with built-in adaptive feedback. When integrated with NeuroMuscles, artificial arms and fingers can not only sense their own motion in real time but also detect the object’s surfaces. Importantly, the biomimetic knee-jerk reflex of artificial legs is achieved by establishing adaptive feedback within NeuroMuscles without off-board control systems for signal processing. The NeuroMuscles could function as indispensable components for implantable muscular reinforcements, next-generation soft machines, and beyond.","PeriodicalId":388,"journal":{"name":"Matter","volume":"18 1","pages":""},"PeriodicalIF":18.9,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Massively multiplexed optical recording with polychromatic DNA frameworks 利用多色 DNA 框架进行大规模复用光学记录

IF 18.9 1区材料科学

Matter Pub Date : 2024-11-20 DOI: 10.1016/j.matt.2024.10.020

Lu Song, Ruiyan Guo, Li Pan, Yishakejiang Saimaiti, Shaopeng Wang, Fan Li, Xiuhai Mao, Fei Wang, Qi Li, Dekai Ye, Sisi Jia, Gang Liu, Min Li, Xiaolei Zuo, Chunhai Fan

{"title":"Massively multiplexed optical recording with polychromatic DNA frameworks","authors":"Lu Song, Ruiyan Guo, Li Pan, Yishakejiang Saimaiti, Shaopeng Wang, Fan Li, Xiuhai Mao, Fei Wang, Qi Li, Dekai Ye, Sisi Jia, Gang Liu, Min Li, Xiaolei Zuo, Chunhai Fan","doi":"10.1016/j.matt.2024.10.020","DOIUrl":"https://doi.org/10.1016/j.matt.2024.10.020","url":null,"abstract":"Rapid data growth highlights the increasing demand for high-density storage solutions. Multiplexed optical recording based on synthetic inorganic nanoparticles represents the next generation of data storage. However, diverse photophysical properties of nanoparticles reduce their reliability and information density. Here, we present a highly programmable polychromatic DNA tetrahedral framework (PDTF) that enables precise control over their optical performances. By programming the size of PDTFs, we reduce the feature size of the recording medium to 3.4 nm, which was 41-fold smaller than that of commercially available Blu-ray technology. PDTF chains with up to 47 million distinct color codes further enhance optical storage with higher information capacity. Additionally, nanopatterning technology integrates the PDTFs into on-chip architectures, achieving an impressive density of 25.9 Gb/cm<sup>2</sup>. Finally, the PDTFs demonstrate excellent re-writability and long-term stability (10,826 years at room temperature), exhibiting promising potential in high-density and secure data storage applications.","PeriodicalId":388,"journal":{"name":"Matter","volume":"6 1","pages":""},"PeriodicalIF":18.9,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Polyfunctional eutectogels with multiple hydrogen-bond-shielded amorphous networks for soft ionotronics 用于软离子电子学的具有多重氢键屏蔽非晶网络的多官能团共晶凝胶

IF 18.9 1区材料科学

Matter Pub Date : 2024-11-19 DOI: 10.1016/j.matt.2024.11.005

Yizhe Shao, Chao Dang, Haobo Qi, Ziyang Liu, Haoran Pei, Tongqing Lu, Wei Zhai

引用次数: 0

Brilliant colorful daytime radiative cooling coating mimicking scarab beetle 模仿猩红甲虫的绚丽多彩的日间辐射冷却涂层

IF 18.9 1区材料科学

Matter Pub Date : 2024-11-15 DOI: 10.1016/j.matt.2024.10.016

Xiaoyu Hou, Kaiyue Zhang, Xintao Lai, Liwei Hu, Florian Vogelbacher, Yanlin Song, Lei Jiang, Mingzhu Li

引用次数: 0

Nanoscale cold welding of glass 纳米级玻璃冷焊

IF 18.9 1区材料科学

Matter Pub Date : 2024-11-12 DOI: 10.1016/j.matt.2024.10.024

Yunna Guo, Hantao Cui, Peng Jia, Zhangran Ye, Lei Deng, Hui Li, Baiyu Guo, Xuedong Zhang, Jie Huang, Yong Su, Jianyu Huang, Bin Wen, Yang Lu, Liqiang Zhang

引用次数: 0

ORGANA: A robotic assistant for automated chemistry experimentation and characterization ORGANA：用于自动化化学实验和表征的机器人助手

IF 18.9 1区材料科学

Matter Pub Date : 2024-11-12 DOI: 10.1016/j.matt.2024.10.015

Kourosh Darvish, Marta Skreta, Yuchi Zhao, Naruki Yoshikawa, Sagnik Som, Miroslav Bogdanovic, Yang Cao, Han Hao, Haoping Xu, Alán Aspuru-Guzik, Animesh Garg, Florian Shkurti

{"title":"ORGANA: A robotic assistant for automated chemistry experimentation and characterization","authors":"Kourosh Darvish, Marta Skreta, Yuchi Zhao, Naruki Yoshikawa, Sagnik Som, Miroslav Bogdanovic, Yang Cao, Han Hao, Haoping Xu, Alán Aspuru-Guzik, Animesh Garg, Florian Shkurti","doi":"10.1016/j.matt.2024.10.015","DOIUrl":"https://doi.org/10.1016/j.matt.2024.10.015","url":null,"abstract":"Chemistry experiments can be resource- and labor-intensive, often requiring manual tasks like polishing electrodes in electrochemistry. Traditional lab automation infrastructure faces challenges adapting to new experiments. To address this, we introduce ORGANA, an assistive robotic system that automates diverse chemistry experiments using decision-making and perception tools. It makes decisions with chemists in the loop to control robots and lab devices. ORGANA interacts with chemists using large language models (LLMs) to derive experiment goals, handle disambiguation, and provide experiment logs. ORGANA plans and executes complex tasks with visual feedback while supporting scheduling and parallel task execution. We demonstrate ORGANA’s capabilities in solubility, pH measurement, recrystallization, and electrochemistry experiments. In electrochemistry, it executes a 19-step plan in parallel to characterize quinone derivatives for flow batteries. Our user study shows ORGANA reduces frustration and physical demand by over 50%, with users saving an average of 80.3% of their time when using it.","PeriodicalId":388,"journal":{"name":"Matter","volume":"95 1","pages":""},"PeriodicalIF":18.9,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142599874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0