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Yuan R, Jiao H, Du X, Li L, Liu Q, Jiao S. A Deep Insight into the Microscopic Dynamics of the Electrode-Electrolyte Interface under Extreme Operating Conditions. ACS NANO 2025; 19:4694-4703. [PMID: 39829020 DOI: 10.1021/acsnano.4c15336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
Abstract
Understanding the interfacial dynamics during operation is critical for electrochemistry to make great advancements. However, breakthroughs on this topic under extreme conditions are very scarce. Here, as an example, we employ operando Raman spectroscopy to decode the interfacial dynamics of titanium electrolysis using a tailored instrument. Direct spectral evidence not only confirms the two-step reduction pathway and the key intermediate (TiF52-) in molten fluorides with high-temperature and strong-corrosion conditions but also unravels the origins of the undesirable shuttling effect of TiF52-, which are the sluggish reduction kinetics and outward diffusion behavior of TiF52-. Moreover, an insightful atomic scenario of the electric double layer (EDL) under varied potentials has been established. These quantitative understandings guide us to design economical-feasible regulation protocols─the rational combination of a high-concentration, low-valence Ti-ion electrolyte with appropriate applied potential. Impressively, the current efficiency is greatly promoted from 27.7 to 81.8% using our proposed protocols. Finally, this work also demonstrates a bottom-up technological research paradigm for extreme electrochemistry based on mechanism insights rather than phenomenological findings, which will accelerate the advancement of extreme electrochemistry.
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Affiliation(s)
- Rui Yuan
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, P R China
| | - Handong Jiao
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, P R China
| | - Xueyan Du
- State Key Laboratory of Advanced Processing and Recycling of Non-ferrous Metal, Lanzhou University of Technology, Lanzhou 730050, P R China
| | - Leyang Li
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, P R China
| | - Qiang Liu
- State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, P R China
| | - Shuqiang Jiao
- State Key Laboratory of Advanced Processing and Recycling of Non-ferrous Metal, Lanzhou University of Technology, Lanzhou 730050, P R China
- State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, P R China
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Guo Y, Sun X, Jiao H, Zhang L, Qin W, Xi X, Nie Z. Effect of electric fields on tungsten distribution in Na 2WO 4-WO 3 molten salt. Phys Chem Chem Phys 2024; 26:6590-6599. [PMID: 38332732 DOI: 10.1039/d3cp06202c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
Tungsten coatings have unique properties such as high melting points and hardness and are widely used in the nuclear fusion and aviation fields. In experiments, compared to pure Na2WO4 molten salt, electrolysis with Na2WO4-WO3 molten salt results in a lower deposition voltage. Herein, an investigation combining experimental and computational approaches was conducted, involving molecular dynamics simulations with deep learning, high-temperature in situ Raman spectroscopy and activation strain model analysis. The results indicated that the molten salt system's behaviour, influenced by migration and polarization effects, led to increased formation of Na2W2O7 in the Na2WO4-WO3 molten salt, which has a lower decomposition voltage and subsequently accelerated the cathodic deposition of tungsten. We analyzed the mechanism of the effect of the electric field on the Na2W2O7 structure based on the bond strength and electron density. This research provides crucial theoretical support for the effect of electric field on tungsten in molten salt and demonstrates the feasibility of using machine learning-based DPMD methods in simulating tungsten-containing molten salt systems.
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Affiliation(s)
- Yuliang Guo
- Collaborative Innovation Center of Capital Resource-Recycling Material Technology, College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, China.
| | - Xiaobo Sun
- Collaborative Innovation Center of Capital Resource-Recycling Material Technology, College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, China.
- National Engineering Laboratory for Industrial Big-data Application Technology, Beijing University of Technology, Beijing 100124, China
| | - Handong Jiao
- Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China
| | - Liwen Zhang
- Collaborative Innovation Center of Capital Resource-Recycling Material Technology, College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, China.
- National Engineering Laboratory for Industrial Big-data Application Technology, Beijing University of Technology, Beijing 100124, China
| | - Wenxuan Qin
- School of Chemistry and Materials Engineering, Xinxiang University, Xinxiang, Henan 453003, China
| | - Xiaoli Xi
- Collaborative Innovation Center of Capital Resource-Recycling Material Technology, College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, China.
- Key Laboratory of Advanced Functional Materials, Ministry of Education, Beijing University of Technology, Beijing 100124, China
| | - Zuoren Nie
- Collaborative Innovation Center of Capital Resource-Recycling Material Technology, College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, China.
- National Engineering Laboratory for Industrial Big-data Application Technology, Beijing University of Technology, Beijing 100124, China
- Key Laboratory of Advanced Functional Materials, Ministry of Education, Beijing University of Technology, Beijing 100124, China
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