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Zhipeng Wang

Publications and source records attributed to Zhipeng Wang.

2 recordsLinked to original sources

Low-Carbon-Residue Multi-Principal-Element Magnetic Alloys for Excellent Microwave Absorption.

Magnetic alloy/carbon composites are promising microwave absorbers due to abundant interfaces and multiple loss mechanisms. However, reducing carbon content while maintaining uniform magnetic component distribution remains challenging. We report a spray-drying strategy to address this. By tuning nitrate precursor ratios and optimizing thermal treatment, we synthesize low-carbon alloy/oxide microspheres with uniformly distributed alloy phases. Limiting carbon content improves impedance matching, while selective nitrate precipitation creates a magnetic alloy architecture that suppresses nanoparticle agglomeration and enhances interfacial polarization. For this multiscale synergistic polarization is achieved: highly conductive Cu maximizes conduction loss, insulating Al2O3 buffers impedance, and Mn provides abundant polarization centers. The resulting microspheres exhibit tunable, exceptional performance. The attenuation-dominated FeCuMn system achieves -48.2 dB minimum reflection loss at 1.5 mm thickness. The impedance-matched FeCuAl system delivers an ultra-broad effective absorption bandwidth (EAB) of 5.12 GHz. Additionally, the FeAlMn system demonstrates superior polarization miniaturization for optimal absorption at extremely thin matching thicknesses. This work provides a practical strategy for designing electromagnetic composite structures with tunable component distribution.

customizable multicomponent

Causal effect of the age at first birth with depression: a mendelian randomization study.

BACKGROUND: This study aimed to explore the causal relationship between age at first birth (AFB) and depression. METHODS: Using the univariable Mendelian randomization (UVMR) and multivariable Mendelian randomization (MVMR) methods to examine the potential correlation between age at first birth (AFB) and major depressive disorder and postpartum depression. A public database was used to obtain the genome-wide association studies (GWAS) summary data. We put inverse-variance-weighted (IVW) as the primary method in Mendelian randomization (MR) analysis and used sensitivity analysis to confirm the robustness of our result. RESULTS: We found a significant causal association between AFB and major depressive disorder by using the IVW algorithm (odd ratio [OR] 0.826; 95% confidence interval [CI] 0.793&#x2009;-&#x2009;0.861; P&#x2009;=&#x2009;4.51&#x2009;&#xd7;&#x2009;10-&#x2009;20). MR-Egger, weighted median, simple mode and weighted mode method concluded the same result (P&#x2009;<&#x2009;0.05). During the sensitivity analysis, the heterogeneity test (Q-value&#x2009;=&#x2009;55.061, df&#x2009;=&#x2009;48, P&#x2009;=&#x2009;2.81&#x2009;&#xd7;&#x2009;10-&#x2009;01, I2&#x2009;=&#x2009;12.82%) and the leave-one-out plot analysis confirmed the stability of the results. The outcomes of the pleiotropy test (MR-Egger intercept&#x2009;=&#x2009;8.932&#x2009;&#xd7;&#x2009;10-&#x2009;3. SE&#x2009;=&#x2009;6.909&#x2009;&#xd7;&#x2009;10-&#x2009;3. P&#x2009;=&#x2009;2.02&#x2009;&#xd7;&#x2009;10-&#x2009;01) and MR_PRESSO global test (P&#x2009;=&#x2009;2.03&#x2009;&#xd7;&#x2009;10-&#x2009;01) indicated there is no pleiotropy. CONCLUSION: There is solid evidence that a higher age at first birth is associated with a lower risk of major depressive disorder.

Humans