Communications engineering最新文献

Integrated process-property modeling of YBa₂Cu₃O₇ superconducting film for data and model driven process design. 基于数据和模型驱动的YBa2Cu3O7超导薄膜工艺特性集成建模

Communications engineering Pub Date : 2025-06-23 DOI: 10.1038/s44172-025-00434-1

Tomoya Horide, Shin Okumura, Shunta Ito, Yutaka Yoshida

{"title":"Integrated process-property modeling of YBa2Cu3O7 superconducting film for data and model driven process design.","authors":"Tomoya Horide, Shin Okumura, Shunta Ito, Yutaka Yoshida","doi":"10.1038/s44172-025-00434-1","DOIUrl":"https://doi.org/10.1038/s44172-025-00434-1","url":null,"abstract":"Process engineering of materials determines not only materials properties, but also cost, yield and production capacity. Although process design is generally based on the experience of process engineers, mathematical/data-science modeling is a key challenge for future process optimization. Here we create new opportunities for process optimization in YBa2Cu3O7 film fabrication through data/model-driven process design. We show integrated modelling of substrate temperature and critical current density in YBa2Cu3O7 films. Gaussian process regression augmented by transfer learning and physics knowledge was constructed from a small amount of data to show substrate temperature dependence of critical current density. Non-numerical factors such as chamber design and substrate material were included in the transfer learning, and physics-aided techniques extended the model to different magnetic fields. Magnetic field dependence of critical current density was successfully predicted for a given substrate temperature for a five-sample series deposited using different pulsed laser deposition systems. Our integrated process and property modelling strategy enables data/model-driven process design for YBa2Cu3O7 film fabrication for coated conductor applications.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"114"},"PeriodicalIF":0.0,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144478048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Women in quantum. 量子领域的女性。

Communications engineering Pub Date : 2025-06-23 DOI: 10.1038/s44172-025-00449-8

Yan Li, Melissa Mather, Nicole Metje, Angela Sara Cacciapuoti, Lorenza Criscuolo, Laura d'Avossa, Mayu Muramatsu, Maria Maragkou

引用次数: 0

Industry-academia interface: the value of collaborative research and development with Danielle Densley Tingley. 产学研界面：与丹妮尔·丹斯利·廷利合作研究与开发的价值。

Communications engineering Pub Date : 2025-06-23 DOI: 10.1038/s44172-025-00444-z

引用次数: 0

Bioinspired morphology and task curricula for learning locomotion in bipedal muscle-actuated systems. 在两足肌肉驱动系统中学习运动的生物启发形态学和任务课程。

Communications engineering Pub Date : 2025-06-20 DOI: 10.1038/s44172-025-00443-0

Nadine Badie, Firas Al-Hafez, Pierre Schumacher, Daniel F B Haeufle, Jan Peters, Syn Schmitt

{"title":"Bioinspired morphology and task curricula for learning locomotion in bipedal muscle-actuated systems.","authors":"Nadine Badie, Firas Al-Hafez, Pierre Schumacher, Daniel F B Haeufle, Jan Peters, Syn Schmitt","doi":"10.1038/s44172-025-00443-0","DOIUrl":"10.1038/s44172-025-00443-0","url":null,"abstract":"Humans master complex motor skills such as walking and running through a sophisticated blend of learning and adaptation. Replicating this level of skill acquisition with traditional Reinforcement Learning (RL) methods in musculoskeletal humanoid systems is challenging due to intricate control dynamics and over-actuation. Inspired by human developmental learning, here we address these challenges, with a double curriculum approach: a three-stage task curriculum (balance, walk, run) and an up to three-stage morphology curriculum (4 year-old, 12 year-old, adult), mimicking physical growth. This combined approach enables the agent to efficiently learn robust gaits that are adaptable to varying velocities and perturbations. Extensive analysis and ablation studies demonstrate that our method outperforms state-of-the-art exploration techniques for musculoskeletal systems. Our approach is agnostic to the underlying RL algorithm and does not require reward tuning, demonstrations, or specific muscular architecture information, marking a notable advancement in the field.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"115"},"PeriodicalIF":0.0,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12181307/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning. 基于多智能体强化学习的三维圆柱向湍流过渡的流动控制。

Communications engineering Pub Date : 2025-06-18 DOI: 10.1038/s44172-025-00446-x

Pol Suárez, Francisco Alcántara-Ávila, Jean Rabault, Arnau Miró, Bernat Font, Oriol Lehmkuhl, Ricardo Vinuesa

{"title":"Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning.","authors":"Pol Suárez, Francisco Alcántara-Ávila, Jean Rabault, Arnau Miró, Bernat Font, Oriol Lehmkuhl, Ricardo Vinuesa","doi":"10.1038/s44172-025-00446-x","DOIUrl":"10.1038/s44172-025-00446-x","url":null,"abstract":"Active flow control strategies for three-dimensional bluff bodies are challenging to design, yet critical for industrial applications. Here we explore the potential of discovering novel drag-reduction strategies using deep reinforcement learning. We introduce a high-dimensional active flow control setup on a three-dimensional cylinder at Reynolds numbers (ReD) from 100 to 400, spanning the transition to three-dimensional wake instabilities. The setup involves multiple zero-net-mass-flux jets and couples a computational fluid dynamics solver with a numerical multi-agent reinforcement learning framework based on the proximal policy optimization algorithm. Our results demonstrate up to 16% drag reduction at ReD = 400, outperforming classical periodic control strategies. A proper orthogonal decomposition analysis reveals that the control leads to a stabilized wake structure with an elongated recirculation bubble. These findings represent the first demonstration of training on three-dimensional cylinders and pave the way toward active flow control of complex turbulent flows.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"113"},"PeriodicalIF":0.0,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12177081/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144327901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Learning aerodynamics for the control of flying humanoid robots. 学习控制飞行类人机器人的空气动力学。

Communications engineering Pub Date : 2025-06-18 DOI: 10.1038/s44172-025-00447-w

Antonello Paolino, Gabriele Nava, Fabio Di Natale, Fabio Bergonti, Punith Reddy Vanteddu, Donato Grassi, Luca Riccobene, Alex Zanotti, Renato Tognaccini, Gianluca Iaccarino, Daniele Pucci

{"title":"Learning aerodynamics for the control of flying humanoid robots.","authors":"Antonello Paolino, Gabriele Nava, Fabio Di Natale, Fabio Bergonti, Punith Reddy Vanteddu, Donato Grassi, Luca Riccobene, Alex Zanotti, Renato Tognaccini, Gianluca Iaccarino, Daniele Pucci","doi":"10.1038/s44172-025-00447-w","DOIUrl":"10.1038/s44172-025-00447-w","url":null,"abstract":"Robots with multi-modal locomotion are an active research field due to their versatility in diverse environments. In this context, additional actuation can provide humanoid robots with aerial capabilities. Flying humanoid robots face challenges in modeling and control, particularly with aerodynamic forces. This paper addresses these challenges from a technological and scientific standpoint. The technological contribution includes the mechanical design of iRonCub-Mk1, a jet-powered humanoid robot, optimized for jet engine integration, and hardware modifications for wind tunnel experiments on humanoid robots for precise aerodynamic forces and surface pressure measurements. The scientific contribution offers a comprehensive approach to model and control aerodynamic forces using classical and learning techniques. Computational Fluid Dynamics (CFD) simulations calculate aerodynamic forces, validated through wind tunnel experiments on iRonCub-Mk1. An automated CFD framework expands the aerodynamic dataset, enabling the training of a Deep Neural Network and a linear regression model. These models are integrated into a simulator for designing aerodynamic-aware controllers, validated through flight simulations and balancing experiments on the iRonCub-Mk1 physical prototype.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"111"},"PeriodicalIF":0.0,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12177043/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144327902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Continuous spatio-temporal synthesis of electromagnetic fields by projected space-time Fourier transform. 基于投影时空傅里叶变换的电磁场连续时空合成。

Communications engineering Pub Date : 2025-06-17 DOI: 10.1038/s44172-025-00448-9

Yunlong Du, Deshuang Zhao, Chenming Guo, Junlong He, Hao Yao, Jialiang Zou, Bing-Zhong Wang

{"title":"Continuous spatio-temporal synthesis of electromagnetic fields by projected space-time Fourier transform.","authors":"Yunlong Du, Deshuang Zhao, Chenming Guo, Junlong He, Hao Yao, Jialiang Zou, Bing-Zhong Wang","doi":"10.1038/s44172-025-00448-9","DOIUrl":"10.1038/s44172-025-00448-9","url":null,"abstract":"The manipulation of electromagnetic (EM) waves is important in diverse fields such as microwave sensing and wireless communication. Spatio-temporal synthesis, in particular, has attracted growing interest in recent years. Several related approaches have been explored, but their huge computational burden confines them to low-dimensional EM field synthesis. The synthesis of four-dimensional (4D) EM fields remains a challenging problem. Here, we develop the projected space-time Fourier transform (PST-FT) method to analytically control the continuous evolution of the high-dimensional EM field with time. Without iterative algorithms or pseudo-inverse matrix, it allows rapid synthesis of continuous 4D EM fields. For verification, three complicated time-varying microwave fields are synthesized, including the 4D electric field radiated by other antennas, the multi-target continuously scanning field, and the time-varying shaped uniform field. Furthermore, several corollaries and fundamental limitations are derived by integrating the developed theory and signal processing theory. Our results demonstrate the proposed theory, with potential application in reproducing EM environments, wireless communication and holographic imaging.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"110"},"PeriodicalIF":0.0,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12174354/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144318862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Super-Turing synaptic resistor circuits for intelligent morphing wing. 智能变形翼的超图灵突触电阻电路。

Communications engineering Pub Date : 2025-06-16 DOI: 10.1038/s44172-025-00437-y

Atharva Deo, Jungmin Lee, Dawei Gao, Rahul Shenoy, Kevin Pt Haughn, Zixuan Rong, Yong Hei, D Qiao, Tanay Topac, Fu-Kuo Chang, Daniel J Inman, Yong Chen

{"title":"Super-Turing synaptic resistor circuits for intelligent morphing wing.","authors":"Atharva Deo, Jungmin Lee, Dawei Gao, Rahul Shenoy, Kevin Pt Haughn, Zixuan Rong, Yong Hei, D Qiao, Tanay Topac, Fu-Kuo Chang, Daniel J Inman, Yong Chen","doi":"10.1038/s44172-025-00437-y","DOIUrl":"10.1038/s44172-025-00437-y","url":null,"abstract":"Neurobiological circuits in the brain, operating in Super-Turing mode, process information while simultaneously modifying their synaptic connections through learning, allowing them to dynamically adapt to changes. In contrast, artificial intelligence systems based on computers operate in Turing mode and lack the ability to concurrently infer and learn, making them vulnerable to failure under dynamically changing conditions. Here we show a synaptic resistor circuit that operates in Super-Turing mode, enabling concurrent learning and inference. The circuit controls a morphing wing to reduce its drag-to-lift force ratio and recover from stalls in complex aerodynamic environments. The synaptic resistor circuit demonstrates superior performance, faster learning speeds, enhanced adaptability, and reduced power consumption compared to artificial neural networks and human operators on the same task. By overcoming the fundamental limitations of computers, synaptic resistor circuits offer high-speed concurrent learning and inference, ultra-low power consumption, error correction, and agile adaptability for artificial intelligence systems.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"109"},"PeriodicalIF":0.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12170896/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144310833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The effect of device geometry on the performance of a wave energy converter. 器件几何形状对波能转换器性能的影响。

Communications engineering Pub Date : 2025-06-11 DOI: 10.1038/s44172-025-00441-2

Emma C Edwards, Craig Whitlam, John Chapman, Jack Hughes, Bryony Redfearn, Scott Brown, Scott Draper, Alistair G L Borthwick, Graham Foster, Dick K-P Yue, Martyn Hann, Deborah Greaves

{"title":"The effect of device geometry on the performance of a wave energy converter.","authors":"Emma C Edwards, Craig Whitlam, John Chapman, Jack Hughes, Bryony Redfearn, Scott Brown, Scott Draper, Alistair G L Borthwick, Graham Foster, Dick K-P Yue, Martyn Hann, Deborah Greaves","doi":"10.1038/s44172-025-00441-2","DOIUrl":"10.1038/s44172-025-00441-2","url":null,"abstract":"Wave energy presents an excellent opportunity to add much-needed diversification to the global renewable energy portfolio. However, a competitive levelised cost of electricity for wave energy conversion devices is yet to be proven. Here, we optimise the geometry of a wave energy device to maximise power while also minimising the power take-off reaction moments. Using theory, numerical modelling and optimisation techniques, we show that by including minimisation of reaction moments in the optimisation, instead of only maximisation of power, it is possible to substantially lower the design loads while maintaining high efficiency. Using the underlying physics of how geometry affects the wave-structure interaction, we explain the resulting performance of these new designs for wave energy converters. We examine the resulting geometries for practicality, including performance over a wide range of sea states, motion requirements, and performance in a real sea-state off the coast of Scotland, United Kingdom. Comparing against the single shape which extracts the theoretical maximum power, the optimal shapes found in our study extract almost as much power (12% less) with substantially less moment (reduced by up to 35%), revealing a promising direction for wave energy development.","PeriodicalId":72644,"journal":{"name":"Communications engineering","volume":"4 1","pages":"107"},"PeriodicalIF":0.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12159185/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144276919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Early warning of thermal runaway based on state of safety for lithium-ion batteries. 基于安全状态的锂离子电池热失控预警。

Communications engineering Pub Date : 2025-06-10 DOI: 10.1038/s44172-025-00442-1

Xin Gu, Yunlong Shang, Jinglun Li, Yuhao Zhu, Xuewen Tao, Hao Geng, Zhen Zhang, Chenghui Zhang

引用次数: 0