Results 1 to 10 of about 99 (99)

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

Advanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

Inorganic Dielectric Materials Coupling Micro‐/Nanoarchitectures for State‐of‐the‐Art Biomechanical‐to‐Electrical Energy Conversion Devices

Advanced Materials, EarlyView.
Biomechanical‐to‐electrical energy conversion devices are uniquely suited for self‐driven physiological information monitoring and powering human–computer interaction systems. These devices based on micro‐/nanoarchitectured inorganic dielectric materials (MNIDMs) have shown ultrahigh electromechanical performance and thus great potential for practical ...
Jia‐Han Zhang, Zhengtong Li, Zeng Liu, Mingxuan Li, Jiaxin Guo, Jinhua Du, Changkun Cai, Shaohui Zhang, Ningning Sun, Yong Li, Xingtao Xu, Xihong Hao, Yusuke Yamauchi   +12 more
wiley   +1 more source

Materials Advances in Devices for Heart Disease Interventions

Advanced Materials, EarlyView.
This review examines the crucial role of materials in heart disease interventions, focusing on strategies for monitoring, managing, and repairing heart conditions. It discusses the material requirements for medical devices, highlighting recent innovations and their impact on cardiovascular health.
Gagan K. Jalandhra, Lauryn Srethbhakdi, James Davies, Chi Cong Nguyen, Phuoc Thien Phan, Zachary Och, Aditya Ashok, Khoon S. Lim, Hoang‐Phuong Phan, Thanh Nho Do, Nigel H. Lovell, Jelena Rnjak‐Kovacina   +11 more
wiley   +1 more source

Pressure Induced Molecular‐Arrangement and Charge‐Density Perturbance in Doped Polymer for Intelligent Motion and Vocal Recognitions

Advanced Materials, EarlyView.
The sidechain doped polymer is investigated to have great potential for pressure detection due to the advantages including molecular rearrangement and charge‐density perturbance induced by micro‐mechanical deformation. This sensor displayed low‐pressure detection limit of 0.7 Pa as well as a rapid response time of 18.8 ms, enabling multi‐mode motion ...
Huimin Lu, Lei Zhang, Jingyan Jiang, Jian Song, Zhongchao Zhou, Wujian Wu, Ziqian Cheng, Tengfei Yan, Hong Hu, Tingting Zhao, Zhen Xu, Siyi Luo, Hui Li, Jianhua Zhang, Charles H. Lawrie   +14 more
wiley   +1 more source

Enhanced Deformability Through Distributed Buckling in Stiff Quasicrystalline Architected Materials

Advanced Materials, EarlyView.
Quasi‐periodic metamaterials combine stiffness and large‐strain deformability, overcoming limitations of traditional stretching‐dominated periodic designs that are prone to global buckling instabilities and catastrophic layer collapses. By leveraging non‐uniform force chains, they achieve high isotropic stiffness, stable deformation, and remarkable ...
Matheus I. N. Rosa, Konstantinos Karapiperis, Kaoutar Radi, Elias Pescialli, Dennis M. Kochmann   +4 more
wiley   +1 more source

Recent Advances of Graphene‐Based Wearable Sensors: Synthesis, Fabrication, Performance, and Application in Smart Device

Advanced Materials Interfaces, EarlyView.
This review article explores applications in wearable sensors such as mechanical, electrophysiological, and gas sensors, highlighting advancements that improve device performance and predictability. In addition to analyzing graphene's synthesis techniques, including traditional and advanced laser‐based methods, the article discusses fabrication ...
Fatemeh Saeedi, Reza Ansari, Mojtaba Haghgoo   +2 more
wiley   +1 more source

Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation

Advanced Materials Technologies, EarlyView.
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng, Junichiro Shiomi, Takayuki Yamada   +2 more
wiley   +1 more source

Emerging Therapeutic Strategies for Hearing Loss

Advanced Therapeutics, EarlyView.
Challenges still exist in treating hearing loss in cases of severe damage to hair cells or spiral ganglion neurons. Here, a schematic diagram of cochlear sensory hair cells and auditory nerves is presented. It is found that in normal Corti organs, hair cells have upright stereocilia at the top and auditory neurons at the base. Ototoxic drugs, noise, or
Shanying Han, Tian Shen, Weiwei He, Hao Wei, Xiaolong Zhao, Wen Yang, Chuan Bu, Xinghua Tang, Yu Zhao, Jiangang Fan   +9 more
wiley   +1 more source

The Frequency‐Domain Lattice Boltzmann Method (FreqD‐LBM): A Versatile Tool to Predict the QCM Response Induced by Structured Samples

Advanced Theory and Simulations, EarlyView.
FreqD‐LBM simulates the oscillatory flow at the surface of a QCM‐D resonator in the presence of structured adsorbates. It derives shifts of frequency and bandwidth (equivalent to dissipation) on different overtones. Applications include rough surfaces, adsorbed rigid particles, adsorbed viscoelastic particles, spheres floating freely above the surface,
Diethelm Johannsmann, Paul Häusner, Arne Langhoff, Christian Leppin, Ilya Reviakine, Viktor Vanoppen   +5 more
wiley   +1 more source

Consequences and Mechanisms of Noise‐Induced Cochlear Synaptopathy and Hidden Hearing Loss, With Focuses on Signal Perception in Noise and Temporal Processing

Advanced Science, EarlyView.
Noise‐induced synaptopathy (NIS) is largely reversible due to self‐repair. NIS and noise‐induced hidden hearing loss are two concepts with similarities and differences. The major hearing deficits in NIHHL are temporal processing disorders. The translation of animal data in NIS studies to humans is hindered by many factors.
Hui Wang, Steven J Aiken, Jian Wang
wiley   +1 more source