Desalination, Год журнала: 2023, Номер 564, С. 116733 - 116733
Опубликована: Май 29, 2023
Язык: Английский
Desalination, Год журнала: 2023, Номер 564, С. 116733 - 116733
Опубликована: Май 29, 2023
Язык: Английский
Desalination, Год журнала: 2024, Номер 574, С. 117278 - 117278
Опубликована: Янв. 2, 2024
Язык: Английский
Процитировано
32Chemical Engineering Journal, Год журнала: 2024, Номер 487, С. 150437 - 150437
Опубликована: Март 16, 2024
Язык: Английский
Процитировано
31Chemical Engineering Journal, Год журнала: 2024, Номер 496, С. 153808 - 153808
Опубликована: Июль 6, 2024
Язык: Английский
Процитировано
31Journal of Water Process Engineering, Год журнала: 2024, Номер 58, С. 104816 - 104816
Опубликована: Янв. 23, 2024
Язык: Английский
Процитировано
26Advanced Science, Год журнала: 2024, Номер 11(28)
Опубликована: Апрель 26, 2024
Abstract Prussian blue analogs (PBAs) are considered as one of the most potential electrode materials in capacitive deionization (CDI) due to their unique 3D framework structure. However, practical applications suffer from low desalination capacity and poor cyclic stability. Here, an entropy engineering strategy is proposed that incorporates high‐entropy (HE) concept into PBAs address unfavorable multistage phase transitions during CDI desalination. By introducing five or more metals, which share N coordination site, hexacyanoferrate (HE‐HCF) constructed, thereby increasing configurational system above 1.5R placing it category. As a result, developed HE‐HCF demonstrates remarkable cycling performance, with retention rate over 97% after undergoing 350 ultralong‐life cycles adsorption/desorption. Additionally, exhibits high 77.24 mg g −1 at 1.2 V. Structural characterization theoretical calculation reveal not only helps restrain transition strengthen structural stability, but also optimizes Na + ions diffusion path energy barrier, accelerates reaction kinetics thus improves performance. This research introduces new approach for designing electrodes cost, long‐lasting durability applications.
Язык: Английский
Процитировано
23Separation and Purification Technology, Год журнала: 2024, Номер 336, С. 126300 - 126300
Опубликована: Янв. 7, 2024
Язык: Английский
Процитировано
21Small, Год журнала: 2024, Номер unknown
Опубликована: Июнь 17, 2024
Abstract Nowadays, capacitive deionization (CDI) has emerged as a prominent technology in the desalination field, typically utilizing porous carbons electrodes. However, precise significance of electrode properties and operational conditions shaping performance remains blurry, necessitating numerous time‐consuming resource‐intensive CDI experiments. Machine learning (ML) presents an emerging solution, offering prospect predicting with minimal investment material synthesis testing. Herein, four ML models are used for carbons. Among them, gradient boosting model delivers best on test set low root mean square error values 2.13 mg g −1 0.073 min capacity rate, respectively. Furthermore, SHapley Additive exPlanations is introduced to analyze conditions. It highlights that electrolyte concentration specific surface area exert substantially more influential role determining compared other features. Ultimately, experimental validation employing metal–organic frameworks‐derived biomass‐derived electrodes conducted affirm prediction accuracy models. This study pioneers techniques performance, compelling strategy advancing technology.
Язык: Английский
Процитировано
21Chemical Engineering Journal, Год журнала: 2024, Номер 481, С. 148454 - 148454
Опубликована: Янв. 2, 2024
Язык: Английский
Процитировано
20Advanced Functional Materials, Год журнала: 2024, Номер 34(44)
Опубликована: Июнь 4, 2024
Abstract Prussian blue analogues (PBAs) are a class of promising materials for capacitive deionization. However, the kinetic mismatch between their slow ion storage rate and demand from short‐time desalination severely limits performance. Here, group structure‐tuneable Ni‐Mn PBAs have been developed by combination strategy surface‐protected chemical etching Ostwald ripening to study kinetics. Treating them as demos, characterizations investigations, e.g., in situ XRD three‐electrode system, dynamic impedance, finite element simulation, DFT calculations etc., reveal that diffusion caused severe agglomeration nanoparticles unsuitable lattice parameter controls final behavior. Therefore, correspondingly optimized sample (HC‐t) possessing microscale hollow structure, nanoscale shell thickness, expanded lattice, displays fast kinetics with ratio surface‐controlled current high 82% at scan 20 mV s −1 . Consequently, it delivers an impressive capacity 120.8 mg g (2.06 mmol Na + ) average 0.25 (0.004 1.2 V, competitive those reported literature. Moreover, elucidation structure‐performance correlation provides valuable insights development design next‐generation deionization (CDI).
Язык: Английский
Процитировано
20Separation and Purification Technology, Год журнала: 2024, Номер 347, С. 127563 - 127563
Опубликована: Апрель 18, 2024
Язык: Английский
Процитировано
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