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Tian S, Hwang T, Tian Y, Zhou Y, Zhou L, Milazzo T, Moon S, Malakpour Estalaki S, Wu S, Jian R, Balkus K, Luo T, Cho K, Xiong G. Suppressing Dendrite Growth and Side Reactions via Mechanically Robust Laponite-Based Electrolyte Membranes for Ultrastable Aqueous Zinc-Ion Batteries. ACS Nano 2023. [PMID: 37505191 DOI: 10.1021/acsnano.3c03500] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
The development of aqueous zinc-ion batteries (AZIBs) faces significant challenges because of water-induced side reactions arising from the high water activity in aqueous electrolytes. Herein, a quasi-solid-state electrolyte membrane with low water activity is designed based on a laponite (LP) nanoclay for separator-free AZIBs. The mechanically robust LP-based membrane can perform simultaneously as a separator and a quasi-solid-state electrolyte to inhibit dendrite growth and water-induced side reactions at the Zn/electrolyte interface. A combination of density functional theory calculations, theoretical analyses, and experiments ascertains that the water activities associated with self-dissociation, byproduct formation, and electrochemical decomposition could be substantially suppressed when the water molecules are absorbed by LP. This could be attributed to the high water adsorption and hydration capabilities of LP nanocrystals, resulting from the strong Coulombic and hydrogen-binding interactions between water and LP. Most importantly, the separator-free AZIBs exhibit high capacity retention rates of 94.10% after 2,000 cycles at 1 A/g and 86.32% after 10,000 cycles at 3 A/g, along with enhanced durability and record-low voltage decay rates over a 60-day storage period. This work provides a fundamental understanding of water activity and demonstrates that LP nanoclay is promising for ultrastable separator-free AZIBs for practical energy storage applications.
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Affiliation(s)
- Siyu Tian
- Department of Mechanical Engineering, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, Texas 75080, United States
| | - Taesoon Hwang
- Department of Material Science Engineering, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, Texas 75080, United States
| | - Yafen Tian
- Department of Chemistry & Biochemistry, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, Texas 75080, United States
| | - Yue Zhou
- Department of Mechanical Engineering, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, Texas 75080, United States
| | - Long Zhou
- Department of Mechanical Engineering, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, Texas 75080, United States
| | - Tye Milazzo
- Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Seunghyun Moon
- Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Sina Malakpour Estalaki
- Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Shiwen Wu
- Department of Mechanical Engineering, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, Texas 75080, United States
| | - Ruda Jian
- Department of Mechanical Engineering, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, Texas 75080, United States
| | - Kenneth Balkus
- Department of Chemistry & Biochemistry, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, Texas 75080, United States
| | - Tengfei Luo
- Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Kyeongjae Cho
- Department of Material Science Engineering, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, Texas 75080, United States
| | - Guoping Xiong
- Department of Mechanical Engineering, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, Texas 75080, United States
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Foti G, Faccioli N, D'Onofrio M, Contro A, Milazzo T, Pozzi Mucelli R. Evaluation of a method of computer-aided detection (CAD) of pulmonary nodules with computed tomography. Radiol Med 2010; 115:950-61. [PMID: 20574707 DOI: 10.1007/s11547-010-0556-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2009] [Accepted: 10/29/2009] [Indexed: 10/19/2022]
Abstract
PURPOSE The authors sought to compare the sensitivity and reading time obtained using computer-aided detection (CAD) software as second reader (SR) or concurrent reader (CR) in the identification of pulmonary nodules. MATERIALS AND METHODS Unenhanced CT scans of 100 consecutive cancer patients were retrospectively reviewed by four readers to identify all solid, noncalcified pulmonary nodules ranging from 3 to 30 mm in diameter. The sensitivity and reading time of each reader and of CAD alone were calculated at 3-mm and 5-mm thresholds with respect to the reference standard, consisting of a consensus reading by the four radiologists involved in the study. The McNemar test was used to compare the sensitivities obtained by reading without CAD (readers 1 and 2), with CAD as SR (readers 1 and 2 with a 2-month delay), and with CAD as CR (readers 3 and 4). The paired Student's t test was used to compare reading times. A value of p<0.05 was considered statistically significant. RESULTS A total of 258 and 224 nodules were identified at 3-mm and 5-mm thresholds, respectively. The sensitivity of CAD alone was 62.79% and 67.41% at the 3-mm and 5-mm threshold values respectively, with 4.15 and 2.96 false-positive findings per examination. CAD as SR produced a significant increase in sensitivity (p<0.001) in nodule detection with respect to reading without CAD both at 3 mm (12.01%) and 5 mm (10.04%); the average increase in sensitivity obtained when comparing CAD as SR to CAD as CR was statistically significant (p<0.025) both at the 3-mm (5.35%) and 5-mm (4.68%) thresholds. CAD as CR produced a nonsignificant increase in sensitivity compared with reading without CAD (p>0.05). Mean reading time using CAD as SR (330 s) was significantly longer than reading without CAD (135 s, p<0.001) and reading with CAD as CR (195 s, p<0.025). CONCLUSIONS The use of CAD as CR, without any significant increase in reading time, produces no significant increase in sensitivity in pulmonary nodule detection when compared with reading without CAD (p>0.05); CAD as SR, at the cost of longer reading times, increases sensitivity when compared with reading without CAD (p<0.001) or with CAD as CR (p<0.025).
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Affiliation(s)
- G Foti
- Istituto di Radiologia, Policlinico GB Rossi, Università di Verona, Ple LA Scuro, 37134 Verona, Italy.
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