Article
Chemistry, Physical
Ruixuan Zhang, Lei Wang, Chunyang Xu, Chongyun Liang, Xianhu Liu, Xuefeng Zhang, Renchao Che
Summary: The design and fabrication of one-dimensional porous Fe3O4 nanotubes with vortex-domain configuration has been successfully achieved, leading to high complex permeability and excellent microwave absorption performance. The unique nanotube structure and magnetic vortices contribute to the strong magnetic storage and dissipation capacity of the composite Fe3O4 nanotubes.
Article
Chemistry, Multidisciplinary
Shanshan Guo, Mara Henschel, Daniel Wolf, Darius Pohl, Axel Lubk, Thomas Blon, Volker Neu, Karin Leistner
Summary: As the size of magnetic devices decreases, the understanding of three-dimensional nanomagnets and their magnetic configurations becomes increasingly important. In this study, single-crystal iron nanocuboids with varying sizes were synthesized using progressive nucleation during epitaxial nano-electrodeposition. The size-dependent magnetic configurations of these nanocuboids were investigated and a magnetic configuration versus size phase diagram was established. Both experimental and theoretical results demonstrated a sequential transition of magnetic configurations from Landau pattern to vortex and finally single domain as the nanocuboid sizes decrease. This research approach provides a quantitative understanding of magnetic configurations in a broad size range and can be applied to other materials and shapes, offering an advanced route for future nanodevice design.
Article
Computer Science, Interdisciplinary Applications
N. Simiriotis, M. Fragiadakis, J. F. Rouchon, M. Braza
Summary: The paper introduces an efficient methodology to design smart deformable aeronautical configurations by adjusting the temperature of Shape Memory Alloy (SMA) actuators to achieve pre-defined target shapes. A novel algorithm is developed to predict the nonlinear response of the SMA-structure interaction problem, coupled with an optimization method to predict the optimal structural and operational parameters for controlled configurations. The proposed methodology is validated and demonstrated with three case studies, including the design of a real-world aeronautical configuration.
COMPUTERS & STRUCTURES
(2021)
Article
Mechanics
Hao Hong, Hua Deng
Summary: The adaptive control capability of tensegrities in preventing transfer between bistable configurations due to load-induced structural instability is investigated. Tensegrities have the ability to change their structural geometry and internal force through member length actuation, achieving the adjustment of elastic and geometric stiffness. The concept of the domain of attraction is introduced to demonstrate the stability of tensegrities at the current configuration, and a method is suggested to estimate the domain of attraction for a given load. An adaptive control strategy is proposed based on the analytical relationship between the eigenvalues of the structural tangent stiffness matrix and member length actuations, combined with the structural equilibrium relationship. A 6-bar 24-cable bistable tensegrity is used as an example to verify the effectiveness of the proposed strategy in preventing mutual transfers between bistable configurations.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2023)
Article
Physics, Multidisciplinary
Takahiro Iwayama, Takeshi Watanabe
Summary: The linear stability of double rows of equidistant point vortices in a two-dimensional fluid system was studied, with special attention paid to the influence of the parameter alpha on the stability.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2021)
Article
Biochemistry & Molecular Biology
J. A. Reynolds, Y. L. Vishweshwaraiah, V. R. Chirasani, J. R. Pritchard, N. V. Dokholyan
Summary: Researchers designed and tested a transferase enzyme that is allosterically regulated by light-oxygen-voltage 2 sensing domain. This study demonstrates the optogenetic regulation of a transferase-class enzyme, opening up possibilities for future applications in metabolic engineering and cellular programming.
JOURNAL OF BIOLOGICAL CHEMISTRY
(2023)
Article
Biotechnology & Applied Microbiology
Renmei Liu, Jing Yang, Jing Yao, Zhou Zhao, Wei He, Ni Su, Zeyi Zhang, Chenxia Zhang, Zhuo Zhang, Haibo Cai, Linyong Zhu, Yuzheng Zhao, Shu Quan, Xianjun Chen, Yi Yang
Summary: Researchers have successfully designed a photoswitchable RNA-binding protein that enables spatiotemporal control of RNA function through optogenetics. They found that this protein can bind to a specific RNA sequence and control RNA localization, splicing, translation, and stability by fusing it with other RNA effectors. Additionally, this protein can assist CRISPR-Cas systems in regulating transcription and genomic locus labeling with efficient tunability.
NATURE BIOTECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Mohammed Abu Mallouh, Hossam AbdelMeguid, Mohammad Salah
Summary: This study investigates the performance of different configurations of Solar Water Heating (SWH) systems under varying solar radiation conditions. By implementing closed-loop control algorithms, the outlet water temperature of the systems can be regulated effectively with significantly lower energy consumption compared to open-loop systems.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2022)
Article
Chemistry, Multidisciplinary
Dylan S. Shah, Ellen J. Yang, Michelle C. Yuen, Evelyn C. Huang, Rebecca Kramer-Bottiglio
Summary: This study introduces reconfigurable jamming skins that can stretch and fold to create 3D structures or attach to surfaces to influence rigidity. These skins can be used to create load-bearing tools, support complex structures, and modify the workspace of robots by creating instantaneous joints.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Construction & Building Technology
Elena Catto Lucchino, Francesco Goia
Summary: This study proposes a multi-domain model-based control algorithm for an adaptive facade concept. A co-simulation approach is employed, where the facade is modeled in a Building Energy Simulation tool, and the control algorithm is developed in a generic programming language. The effectiveness of the proposed control approach is verified by comparing it with traditional control strategies, and the results show improved performance in all analyzed domains and significant energy reduction.
ENERGY AND BUILDINGS
(2023)
Article
Mechanics
Xinhui Dong, Hao Hong, Xiaolong Deng, Wei Zhong, Gang Hu
Summary: In this study, deep reinforcement learning (DRL) is applied to determine the suction flow rate on a circular cylinder model in a wind tunnel, aiming to minimize aerodynamic forces while considering energy dissipation efficiency. A surrogate model is employed to optimize the reward function and hyperparameters, significantly reducing the experimental training cost of DRL.
Article
Engineering, Marine
Yuankun Sun, Jiasong Wang, Zhongming Hu, Hanxu Zheng
Summary: This study investigates the flow-induced vibration characteristics and drag force coefficients of an elastically mounted cylinder with double splitter plates. Four different vibration patterns are identified, and the study finds that mass ratio has little effect on the suppression efficiency of the splitter plates. Furthermore, when the vertical span of the plates is less than 1.3, both oscillation suppression and drag reduction can be achieved.
Article
Multidisciplinary Sciences
Yue Yu, Lu Dai, Maosheng Chen, Lingbo Kong, Chaoqun Wang, Gengyao Li, Zhipeng Xue
Summary: This study focuses on the effective identification of the control model for a single gimbal control moment gyroscope (SGCMG) servo system. By studying system identification and mechanical resonance frequency, the accuracy and stability of the servo system can be improved. The results indicate that orthogonal correlation analysis has a high identification accuracy.
Article
Optics
Luca Rebuffi, Xianbo Shi, Zhi Qiao, Matthew J. Highland, Matthew G. Frith, Antoine Wojdyla, Kenneth A. Goldberg, Lahsen Assoufid
Summary: A neural-network machine learning model is developed to control a bimorph adaptive mirror for achieving and maintaining aberration-free coherent X-ray wavefronts. The controller is trained using direct measurements from a real-time wavefront sensor with a coded mask and wavelet-transform analysis. The system has been successfully tested on a bimorph deformable mirror, achieving desired wavefront shapes with sub-wavelength accuracy at 20 keV of X-ray energy.
Article
Physics, Applied
Diego Caso, Pablo Tuero, Javier Garcia, Konstantin Y. Guslienko, Farkhad G. Aliev
Summary: By adjusting parameters such as the length of the nanowire, excitation frequency, microwave pulse duration, and spin-current value, reversible transitions between single-vortex and Bloch-point vortex structures can be achieved, enabling fast and efficient switching of nanomagnets in magnetic memories.
PHYSICAL REVIEW APPLIED
(2023)
