Zhilong Wang

Pseudotime uncovers restructuring dynamics and mitigators of metal catalyst deactivation

Wenhao Yuan, Zhilong Wang, Fengqi You

Structural reconstruction is a major cause of heterogeneous catalyst deactivation, yet elucidating the restructuring mechanism remains difficult due to underresolved dynamics. Here, by introducing pseudotime, we recover dynamics and identify the key determinant of nanoparticle sintering from ex situ electron microscopy alone, …

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Segment-Specific Gut Microbiome and Bile Acid Profiles in Grazing and Stall-Fed Yaks

Qiuyue Li, Jiaming Wang, Zhilong Wang, Chenxu Cheng et autres

The yak is an iconic ruminant of the Qinghai-Tibet Plateau, yet segment-specific variation in its intestinal microbial functional potential and bile acid profiles under different feeding systems remains insufficiently characterized. Six healthy adult male yaks with similar body weights (320 ± 30 …

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Decoding the chemical space of fast-ion conductors via a descriptor-guided transfer learning framework

Zhilong Wang, Fengqi You

Fast-ion conductors (FICs) are key components for next-generation high-performance batteries, yet predicting ion mobility remains challenging because of the unclear transport mechanisms. This difficulty is further compounded by experimental datasets that lack precise crystal structures. Here, we present a descriptor-guided transfer learning …

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Hide Your Malicious Goal Into Benign Narratives: Jailbreak Large Language Models Through Carrier Articles

Zhilong Wang, Haizhou Wang, Nanqing Luo, Lan Zhang et autres

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Fecal Microbiota Transplantation Improves Biota and Hepatic Metabolism, Promoting Growth in SD Rats Under Hypobaric Hypoxia Exposure

Shuting Bao, Shengchun Xu, Zhilong Wang, Shatuo Chai et autres

Hypobaric hypoxia poses a serious threat to growth and development and can induce pronounced inflammatory responses. These effects are closely associated with the gut microbiota. However, the underlying mechanisms, particularly the role of gut microbiota in regulating hepatic metabolism under chronic hypoxic …

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Rhizosphere Microbiome Responses to Root-Knot Nematode Infection in Fagopyrum tataricum: Diversity, Network Dynamics, and Potential Biocontrol Taxa

Chengpeng Li, Cuifeng Tang, Duanyong Zhou, Min Rao et autres

Background: Root-knot nematodes (RKNs) are destructive parasites affecting both agricultural and natural plants. Fagopyrum tataricum, a phenolic-rich edible and medicinal plant, has antidiabetic, anti-inflammatory, and anticancer properties, yet the impact of RKN infection on its rhizosphere microbiome remains unclear. Methods: We employed …

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Multi-Single-Atom Catalysis in Cyclic Anthracene Frameworks: A Computational Pathway to Platinum-Competitive Hydrogen Evolution

Hazem Abdelsalam, Zhilong Wang, Mahmoud A. S. Sakr, Omar Hamed Abd-Elkader et autres

This study employs density functional theory (DFT) to explore cyclic [3] anthracene (C[3]A) and its tetrameric analogue (4C[3]A) as molecular platforms for single- and multisingle-atom catalysis (SACs/multi-SACs) in electrochemical hydrogen evolution reaction (HER). By embedding isolated transition metal (TM) atoms (Co, Fe, …

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Toward AI ecosystems for electrolyte and interface engineering in solid-state batteries

Zhilong Wang, Wolfgang G. Zeier, Fengqi You

Solid-state batteries (SSBs) are pivotal for sustainable energy storage, delivering extended life span, low-temperature resilience, and enhanced safety. However, designing stable solid electrolytes and interfaces in SSBs remains a formidable challenge. As a disruptive catalyst for paradigm shifts spanning materials discovery and …

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Machine learning pipelines for the design of solid-state electrolytes

Vinamr Jain, Zhilong Wang, Fengqi You

) and provide concrete strategies through transfer learning and active learning frameworks. We bridge conventional computational methods (DFT, molecular dynamics) with modern ML techniques, demonstrating hybrid workflows that overcome individual limitations. The review concludes with actionable recommendations for multi-objective optimization, explainable AI …

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Deep Learning Assisted Reverse Engineering: Recognizing Encryption Loops in Ransomware

Nanqing Luo, Haizhou Wang, Zhilong Wang, Lan Zhang et autres

Reverse Engineering (RE) is a critical task performed by security professionals for various purposes. However, the complexity and exertion of malware reverse engineering, particularly for ransomware, have posed significant challenges to experts in the field. In response, this study explores the feasibility …

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Author response for "Machine Learning Pipelines for the Design of Solid-State Electrolytes"

Zhilong Wang, Fengqi You

Light Metabolically Reprograms CD8 + T Cells to Potentiate STING‐Driven Tumor Eradication and Prevent Metastasis

Asmita Banstola, Shilin Gao, Zhengkung Zhang, Yan Dong et autres

Abstract Immunotherapy remains ineffective in many solid tumors due to poor T‐cell infiltration and a metabolically suppressive tumor microenvironment. A dual strategy combining low‐level light (LLL) therapy with a nanoscale stimulator of interferon genes (STING) agonist formulation (nanoSTING@Mn) is presented to enhance …

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