Yu Zheng

Electron Beam Induced Damage of Sodium Closo -Hydroborate

Thomas S. Marchese, James N Burrow, Nestor J. Zaluzec, Shuang Bai et autres

Cryo-electron microscopy is advancing the characterization and quantification of evolving electrochemical interfaces. Scanning electron microscopes (SEM) bridges the gap from x-ray tomography to scanning / transmission electron microscope (S/TEM) building up a comprehensive understanding from pouch cell to the atomic interface [1]. …

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A Quantitative Lithium Inventory Framework for Anode‐Free Lithium Metal Batteries

Wurigumula Bao, Alex Liu, Thomas S. Marchese, Yu Zheng et autres

ABSTRACT Lithium (Li) metal batteries, with their substantially higher specific capacity, have the potential to nearly double the gravimetric energy density of conventional Li‐ion cells, enabling applications that demand exceptional energy‐to‐weight ratios, including electric vehicles, electric vertical takeoff and landing aircraft (eVTOL), …

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From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

Aritra Roy, Kevin Shen, Andrew R. MacBride, Awwal D. Oladipupo et autres

Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broad set of community-developed LLM applications in an effort to identify emerging patterns in how these systems …

Sodium expulsion from sodium closo-hydroborates under electron beam induced bias

Thomas S. Marchese, James N. Burrow, Nestor J. Zaluzec, Shuang Bai et autres

Electron microscopy (EM) invites the opportunity to locally characterize the properties of solid-state electrolytes important for choreographing ion motion within next-generation solid-state batteries. Through the combination of inert gas transfer, cryogenic, time-resolved low-dose analytical electron microscopy, we observe that mixed-anion sodium closo …

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Sodium expulsion from sodium closo-hydroborates under electron beam induced bias

Thomas S. Marchese, James N C Burrow, Nestor J. Zaluzec, Shuang Bai et autres

Electron microscopy (EM) invites the opportunity to locally characterize the properties of solid-state electrolytes important for choreographing ion motion within next-generation solid-state batteries. Through the combination of inert gas transfer, cryogenic, time-resolved low-dose analytical electron microscopy, we observe that mixed-anion sodium closo …

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Engineering Na‐Rich P2‐Type Layered Oxides Through Li/Ti Dual Doping for Oxygen Redox Activation and Superior Structural Stability

Rishika Jakhar, Shrestha Ghosh, Adesh Rohan Mishra, Shristi Nhuchhe Pradhan et autres

ABSTRACT Sodium layered oxides Na x MO 2 ( x ≤ 1 and M = transition metal ions) have gained significant interest as sodium‐ion battery (NIB) cathodes owing to their high operating voltages and potential for higher energy density compared with polyanion …

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A self-driving physical vapor deposition system making sample-specific decisions on the fly

Yu Zheng, Layla Mravac, Fengxue Zhang, Yuxin Chen et autres

We present an autonomous physical vapor deposition system that integrates hardware automation, in-situ optical spectroscopy, and Bayesian machine learning into a complete self-driving laboratory framework making decisions on the fly. Using silver thin films as a model material, our platform efficiently navigates …

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A self-driving physical vapor deposition system making sample-specific decisions on the fly

Yu Zheng, Connor Blake, Layla Mravac, Fengxue Zhang et autres

We present an autonomous physical vapor deposition system that integrates hardware automation, in-situ optical spectroscopy, and Bayesian machine learning into a complete self-driving laboratory framework making decisions on the fly. Using silver thin films as a model material, our platform efficiently navigates …

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A self-driving physical vapor deposition system making sample-specific decisions on the fly

Yu Zheng, Connor Blake, Layla Mravac, Fengxue Zhang et autres

We present an autonomous physical vapor deposition system that integrates hardware automation, in-situ optical spectroscopy, and Bayesian machine learning into a complete self-driving laboratory framework making decisions on the fly. Using silver thin films as a model material, our platform efficiently navigates …

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Advances in Fiber Optic Surface-Enhanced Raman Spectroscopy Sensors

Junyu Wei, Yibin Liu, Minghui Niu, Weihao Lin et autres

Surface-enhanced Raman spectroscopy (SERS) is a highly specific and sensitive analytical technique that identifies molecules by amplifying Raman fingerprints through electromagnetic (EM) and chemical (CM) enhancement mechanisms. When SERS is integrated with microstructured optical fibers, the resulting fiber optic SERS sensors extend …

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Resistive Switching of Spinel Li 4 Ti 5 O 12 Lithium-Ion Battery Material for Neuromorphic Computing

Bhagath Sreenarayanan, Chi‐Hsin Huang, Ryōsuke Shimizu, Steven Suwito et autres

The rapid rise of AI has exposed significant limitations in conventional Von Neumann computing architecture, particularly in regard to speed and energy efficiency. To address these challenges, researchers are exploring a brain-inspired neuromorphic architecture that mimics biological neural networks, enabling massive parallel …

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Risk assessment of transmission towers based on variable weight theory and matter-element extension model

Haihang Gao, Minzhen Wang, Zhigang Wang, Jiyao Zhang et autres

Abstract The risk assessment of transmission towers is a critical approach to ensuring the safe and stable operation of power grids. In response to the increasingly frequent and severe impacts of seasonal permafrost on transmission towers in permafrost regions, this paper proposes …

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