Results 111 to 120 of about 309,932 (262)

Exchange Length Tailored Magnetic Resonance for Broadband Absorption in FeCo‐Based Alloys

Advanced Science, EarlyView.
To break the high‐frequency magnetic loss bottleneck in soft magnetic alloys, a magnetic exchange length (Lex)‐guided strategy is proposed. Cu doping increases Lex and intergranular coupling, which effectively reduces magnetic anisotropy and pushes the exchange resonance to 12.0 GHz.
Xiaoyang Liu, Yingli Zhu, Shuangxin Zhang, Gangtao Luo, Mengke Qiao, Jiang Wu, Xiangcheng Li   +6 more
wiley   +1 more source

Pyroptosis‐Inducing Engineered Microparticles for Cancer Immunotherapy

Advanced Science, EarlyView.
Engineered microparticles co‐delivering geldanamycin and dual nanobodies induce targeted pyroptosis and block PD‐L1 and CD47 pathways, reprogramming the tumor microenvironment and achieving potent antitumor immunity in lung cancer models with minimal toxicity.
Tianli Hao, Zihan Deng, Yufei Liu, Li Liu, Deqiang Deng, Muyang Yang, Yuanyuan Geng, Yao Sun, Beilei Yue, Jonathan F. Lovell, Yushuai Liu, Lisen Lu, Honglin Jin   +12 more
wiley   +1 more source

Pressure‐Induced Structural and Magnetic Evolution in Layered Antiferromagnet YbMn2Sb2

Advanced Electronic Materials, EarlyView.
Pressure tunes the delicate balance between structure, magnetism, and electronic states in quantum materials. In YbMn2Sb2, high‐pressure X‐ray and neutron diffraction reveal a trigonal‐to‐monoclinic transition near 3.5 GPa, accompanied by unconventional magnetic ordering.
Mingyu Xu, Matt Boswell, Aya Rutherford, Cheng Peng, Ying Zhou, Shuyang Wang, Zhaorong Yang, Antonio M. dos Santos, Haidong Zhou, Weiwei Xie   +9 more
wiley   +1 more source

Topological radiation from vortex masers. [PDF]

Nat Commun
Qin H, Xiang R, Jafargholi A, Zhang Z, Fleury R.   +4 more
europepmc   +1 more source

Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
This review focuses on the intrinsic mechanical parameters and their associated characterization in solid‐state batteries. The physical significance of mechanics parameters is introduced with exhaustive classifications by elastic, plastic deformations and fracture in bulk, adhesion, friction at interfaces, and mechanical fatigue in cells ...
Shuai Hao, Qianyi Zhang, Xiangkang Kong, Zhaoxiang Wang, Xue‐Ping Gao, Paul R. Shearing   +5 more
wiley   +1 more source

Leveraging Digital Advanced Manufacturing to Enable Polymer Electrolyte Fuel Cells With Ultrahigh Gravimetric Power Density

Advanced Energy Materials, EarlyView.
This study employs digital advanced manufacturing to develop lightweight, compact porous distributors as alternatives to conventional bipolar plates in PEM fuel cells. A graphene‐coated nickel foam achieves a power density of 1.52 W cm−2, while titanium‐based designs deliver lightweight solutions: an LPBF‐fabricated Gyroid lattice reaches 1.36 W cm−2 ...
Hadi Heidary, Vahid Nasrollahi, Daniel Wilmot, Jacob Bracegirdle‐Morais, Sophie C. Cox, Stefan Dimov, Moataz M. Attallah, Ahmad El‐kharouf, Sara Walker, Robert Steinberger‐Wilckens   +9 more
wiley   +1 more source

One Dimensional Energy Cascades in a Fractional Quasilinear NLS. [PDF]

Arch Ration Mech Anal
Maspero A, Murgante F.
europepmc   +1 more source

How Particle Size Affects Consolidation Behavior, Strain and Properties of Li6PS5Cl Fast Ionic Conductors

Advanced Energy Materials, EarlyView.
The densification process of Li6PS5Cl powders with varying particles size distributions reveals differences in smaller and larger distributions. Higher strain is revealed for the smaller particle size distribution from X‐ray diffraction. Discrete element method simulations uncover that the reason for the higher strain is not the particle size itself ...
Vasiliki Faka, Mohammed Alabdali, Martin A. Lange, Franco M. Zanotto, Can Yildirim, Mikael Dahl Kanedal, Jędrzej Kondek, Matthias Hartmann, Oliver Maus, Dominik Daisenberger, Michael Ryan Hansen, Jozef Keckes, Daniel Rettenwander, Alejandro A. Franco, Wolfgang G. Zeier   +14 more
wiley   +1 more source

Bridging Molecular and Bulk Nonlinearities: Kerr Effect Phenomena in Transparent Ceramic Systems. [PDF]

Int J Mol Sci
Kruk A, Schabikowski M.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source