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Showing 1–11 of 11 results
Advanced filters: Author: Xinnan Peng Clear advanced filters

  • A new artificial intelligence model, DeepSeek-R1, is introduced, demonstrating that the reasoning abilities of large language models can be incentivized through pure reinforcement learning, removing the need for human-annotated demonstrations.

    • Daya Guo
    • Dejian Yang
    • Zhen Zhang
    ResearchOpen Access
    Nature
    Volume: 645, P: 633-638

  • An integrative network map of maize (Zea mays L.) that contains genomic, transcriptomic, translatomic and proteomic networks illustrates the landscape of molecular interactions of different functional elements and potential pathway modules in maize.

    • Linqian Han
    • Wanshun Zhong
    • Lin Li
    Research
    Nature Genetics
    Volume: 55, P: 144-153

  • One-dimensional quantum magnets hosting correlated π-spins and collective quantum behaviour are synthesized through a combination of elegant precursor design and on-surface synthesis, highlighting the potential of designing π-electron-based quantum spin systems for future quantum technologies.

    • Xinnan Peng
    • Jiong Lu
    News & Views
    Nature Synthesis
    Volume: 4, P: 668-670

  • Heterogeneous geminal-atom catalysts, which pair single-atom sites in specific coordination and spatial proximity, offer a new avenue for the sustainable manufacture of fine chemicals.

    • Xiao Hai
    • Yang Zheng
    • Jiong Lu
    Research
    Nature
    Volume: 622, P: 754-760

  • A chemist-intuited atomic robotic probe is developed that enables autonomous site-selective manipulation of magnetic nanographenes with atomic precision and aids in reaction mechanism elucidation through the incorporation of learned knowledge and artificial intelligence, leading to the intelligent synthesis of these materials.

    • Jie Su
    • Jiali Li
    • Jiong Lu
    Research
    Nature Synthesis
    Volume: 3, P: 466-476

  • Cancer-targeted drug discovery can be achieved by transcriptomics screening on patients. Here this group reports a drug target screening model built upon triple-negative breast cancer (TNBC) cohort and drug database with the selected drug pair exhibiting effective pyroptosis induction and TNBC tumor growth inhibition.

    • Boshu Ouyang
    • Caihua Shan
    • Zhiqing Pang
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-20

  • A high-density genomic variation map from 744 genomes encompassing maize and all wild taxa of the genus Zea reveals evidence of adaptive variation and provides a genus-wide resource of genetic diversity in Zea.

    • Lu Chen
    • Jingyun Luo
    • Jianbing Yan
    Research
    Nature Genetics
    Volume: 54, P: 1736-1745

  • The fabrication of singly dispersed metal cluster catalysts with atomic-level control of dopants is a long-standing challenge. Here, the authors report a strategy for the synthesis of a precisely doped single cluster catalyst which shows exceptional activity for electrochemical dinitrogen reduction.

    • Chuanhao Yao
    • Na Guo
    • Jiong Lu
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-10

  • Creating atomically-precise quantum architectures with high digital fidelity and desired quantum states is an important goal for quantum technology applications. Here the authors devise an on-surface synthetic protocol to construct atomically-precise covalently linked organic quantum corrals with the formation of a series of new quantum resonance states.

    • Xinnan Peng
    • Harshitra Mahalingam
    • Jiong Lu
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-9

  • Phenome-wide association is a novel method that links sequence variants to a spectrum of phenotypes and diseases. Here the authors generate detailed mouse genetic and phenome data which links their phenome-wide association study (PheWAS) of mouse to corresponding PheWAS in human.

    • Xusheng Wang
    • Ashutosh K. Pandey
    • Robert W. Williams
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-13