Results 191 to 200 of about 626 (221)

Quantifying Magnetic Anisotropy of Ferroelectric Fe(II) Square‐Pyramidal Systems Using Torque Magnetometry

Advanced Science, EarlyView.
Five‐coordinate, square‐pyramidal Fe(II) complexes adopting polar, non‐centrosymmetric crystal structures exhibit exceptionally large easy‐axis magnetic anisotropy. Ligand‐driven distortions critically control the anisotropy, and the dielectric, Polarization vs Elecric field and piezo response studies confirm intrinsic polarization, positioning these ...
Vijaya Thangaraj, Gemma K. Gransbury, Deepanshu Chauhan, Dipanti Borah, Gopalan Rajaraman, Mauro Perfetti, Maheswaran Shanmugam   +6 more
wiley   +1 more source

Architecture‐Controlled Hierarchical Carbon‐Based Current Collector for Mitigating Interfacial Instabilities in Lithium‐Metal Anodes

Advanced Science, EarlyView.
A defect‐engineered, hierarchically porous carbon black/CNT current collector guides lithiophilic nucleation in 3D architecture. Steam‐created defects enable uniform Li plating, while CNTs provide conductivity and a lightweight framework, suppressing dendrites and side reactions for stable anode‐free cells.
Seo Hui Kang, Dong Hyeon Hwa, Ji Su Chae, Kwang Chul Roh   +3 more
wiley   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Large-Scale Glass-Transition Temperature Prediction with an Equivariant Neural Network for Screening Polymers. [PDF]

ACS Omega
Long Z, Lu H, Zhang Z.
europepmc   +1 more source

Quantifying Structure–Property Relationships in Ferroelectric Polymers Toward High‐Performance Soft Robots

Advanced Science, EarlyView.
Here, we establish a quantitative relationship between the electrostriction coefficient (Q33) of FRPs and their interplanar spacing (d): Q33 = 100(Δd/d0+1) × Q33(s). Using this model, we fabricated high‐performance soft robots, including a biomimetic crawler (with a speed of 27 cm/s) and a butterfly (with a thrust‐to‐weight ratio of 0.71).
Ba Qin, Guotong Ding, Wanli Xing, Xiaoyu Yang, Wenxuan Li, Zhemin Chen, Shaobo Tan, Xiaoyong Wei, Zhicheng Zhang   +8 more
wiley   +1 more source

Cohomology Rings of Toric Bundles and the Ring of Conditions. [PDF]

Arnold Math J
Hofscheier J, Khovanskii A, Monin L.
europepmc   +1 more source

A Wireless 3D Magneto‐Mechanical Stimulation Platform Drives In Situ Chondrogenic Commitment of Endogenous MSCs

Advanced Science, EarlyView.
An intracellular magneto‐mechanical platform utilizing MSC‐targeted nanomotors is developed. After intra‐articular delivery, these nanomotors target endogenous BMSCs and are actuated within lysosomes to execute trans‐planar rotational‐bouncing motions under a rotating‐fluctuating 3D magnetic field, generating amplified mechanical stimulation.
Zhenguang Li, Li Peng, Laiya Lu, Yingying Wang, Xiaolei Chen, Feng Yin, Cuijun Deng, Yu Cheng   +7 more
wiley   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future. [PDF]

Adv Mater
Temmerman W, Goeminne R, Rawat KS, Van Speybroeck V.   +3 more
europepmc   +1 more source