National Science Review国家科学评论
National Science Review(英文缩写 NATL SCI REV),ISSN 2095-5138,eISSN 2053-714X,中文译名:国家科学评论 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 23.178 | Q1 |
| 2022 | 20.600 | Q1 |
| 2023 | 16.300 | Q1 |
| 2024 | 17.100 | Q1 |
| 2025 | 18.100 | Q1 |
National Science Review 最新收录文献
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1. Lean-lithium solid-state electrolytes through interfacial percolation.
1. 通过界面渗流实现贫锂固态电解质PMID:日期:2026-09-12该文献暂无摘要。
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2. Directly synthesized p-type PbS quantum-dot inks enable uniform SWIR imaging.
2. 直接合成的p型PbS量子点墨水可实现均匀的短波红外成像PMID:日期:2026-09-07该文献暂无摘要。
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3. Stacking order as a tuning parameter in layered quantum materials.
3. 层状量子材料中作为调控参数的堆叠顺序PMID:日期:2026-09-07该文献暂无摘要。
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4. What was the role of palaeogeography in East Asian monsoon evolution since the Cretaceous?
4. 白垩纪以来古地理在东亚季风演化中扮演了什么角色？PMID:日期:2026-09-04The evolution of the East Asian summer monsoon (EASM) has been linked to the development of the Tibetan Plateau, yet monsoon simulations vary considerably between different palaeogeographic models due to inherent uncertainties in reconstructing deep-time landscapes, both locally, regionally and globally. Using the fully coupled HadCM3BL-M2.1aD palaeoclimate model, we examine EASM evolution over the past 145 Myr across three independent palaeogeographies (Getech, Scotese and Robertsons). While all simulations capture broad hydrological trends, they diverge markedly in the timing and intensity of monsoon development. The Cenozoic strengthening of the EASM aligns with Tibetan and regional mountain orogeny, but Cretaceous behaviour reflects strong remote teleconnections driven by continental configuration. These results demonstrate that Asian monsoon systems are sensitive not only to local orography but also to global palaeogeographic context due to the impact of teleconnections on the EASM. Constraining such uncertainties is essential for resolving the monsoon's long-term evolution and climatic influence.
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5. Supporting our sustainable future: a shared decision-guiding principle.
PMID:日期:2026-09-04该文献暂无摘要。
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6. Global STEM education in the AI era.
6. 人工智能时代的全球STEM教育PMID:日期:2026-09-01Recent AI advances offer transformative opportunities for STEM education, but also could have negative impacts on the students' brains and minds.
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7. Integrative analysis of the embryonic origin of adult neural stem cells in forebrain subventricular zones.
7. 前脑室下区成体神经干细胞胚胎起源的整合分析PMID:日期:2026-08-29In the mammalian brain, adult neural stem cells (NSCs) located in the ventricular-subventricular zone (V-SVZ) of lateral ventricles and dentate gyrus continuously generate new neurons and glia throughout life. The adult NSCs in V-SVZ are derived from ventricular radial glial cells (RGCs) which become quiescent during embryonic development. However, the origin and establishment of this adult NSC pool remain elusive, primarily due to the challenge of tracing the lineage from embryonic RGCs to their quiescent adult successors. Here, by leveraging Vcam1-a marker continuously expressed from embryonic RGCs to adult NSCs, we unravel the dynamic process and regulatory mechanism underlying the fate bifurcation that gives rise to quiescent seed cells. We demonstrate that Vcam1 embryonic RGCs directly contribute to the adult NSC pool. A subpopulation of quiescent Vcam1 RGCs emerges early and is maintained throughout development, while a parallel population of proliferative Vcam1 progenitors actively replenishes this quiescent reservoir. Through the combinatory analysis of single-cell multiomics and clonal lineage tracing of Vcam1 cells, we identify the TGF-β/Smad3 pathway as a critical regulator of quiescence. Our work thus provides a mechanistic dissection of how the foundational adult NSC pool is established through precisely regulated fate decisions during embryogenesis, offering new insights into the principles of lifelong neurogenesis.
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8. Deep learning for scalable atomic electron tomography.
8. 用于可扩展原子电子断层扫描的深度学习PMID:日期:2026-08-29该文献暂无摘要。
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9. Magma as a carrier of non-stoichiometric oxygen linking Earth's interior and atmosphere.
9. 岩浆作为非化学计量氧的载体，连接地球内部与大气PMID:日期:2026-08-25Magma generation and transport govern planetary evolution. Although oxygen is the most abundant anion in Earth's silicate interior, its role in magma is conventionally ignored, with magma oxygen contents assumed to be simply fixed by cation stoichiometry. Here we show, using high-pressure and high-temperature experiments supported by molecular dynamics simulations, that silicate magma can incorporate substantially more oxygen than permitted by traditional valence-state constraints. Excess oxygen acts as a previously unrecognized volatile component, increasing in concentration from near zero at 1 atm to > ∼5 wt.% above 5 GPa, more than five times the maximum oxygen increase attainable in Earth's solid mantle through iron redox changes. As oxygen-rich magmas ascend and decompress, their capacity to retain excess oxygen decreases, driving the release of O. This behaviour provides a direct mechanism with the potential to link mantle melting to oxidation of Earth's shallow interior and atmosphere, and identifies magma as a dynamic reservoir in planetary oxygen cycles.
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10. Multi-objective and cross-scale inverse design of temperature-control materials via physics-constrained machine learning.
10. 基于物理约束机器学习的温控材料多目标跨尺度逆向设计PMID:日期:2026-08-22Temperature-control materials-notably composite phase-change materials (CPCMs)-show great potential for the thermal management of next-generation power electronics. However, the synergistic optimization of multiple performance metrics still relies heavily on Edisonian trial-and-error experimentation. Herein, we present an artificial intelligence framework that incorporates a physics-constrained inverse-design system (PHICS) built upon a directed acyclic graph (DAG) architecture for CPCMs, integrating interface, phase and carrier engineering. By encoding structural hierarchies and physical causality through a DAG, a PHICS framework couples forward predictive modeling with a diversity-enhanced NSGA-II optimizer to efficiently map Pareto-optimal design boundaries. Guided by these predictions, we successfully fabricate a high-performance CPCM composed of an oriented graphite fiber skeleton and an -octacosane matrix with amorphous alumina (am-AlO) interfacial transition layers. Benefitting from the bifunctional role of the am-AlO interlayer as both an interfacial phonon bridge and an electron barrier, the resulting CPCMs achieve a superior balance of thermal conduction, thermal storage and electrical insulation. These results demonstrate the accuracy of PHICS-guided multifunctional composite design, establishing a closed-loop platform that combines physics-constrained machine learning with experimental validation to solve key thermal-electrical trade-offs.