1
|
Saltarelli L, Sanchez-Rodriguez D, Gupta K, Kethamkuzhi A, Farjas J, Molins E, Yañez R, Ricart S, Obradors X, Puig T. Metal Propionate Solutions for High-Throughput Liquid-Assisted Manufacturing of Superconducting REBa 2Cu 3O 7-δ (RE = Y, Gd, Sm, and Yb) Films. ACS APPLIED MATERIALS & INTERFACES 2024; 16:54199-54214. [PMID: 39324829 PMCID: PMC11472267 DOI: 10.1021/acsami.4c11685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2024] [Revised: 08/19/2024] [Accepted: 09/16/2024] [Indexed: 09/27/2024]
Abstract
The cost-effective synthesis of a series of metal propionate powders (copper, yttrium, barium, samarium, gadolinium, and ytterbium) is developed through single chemical reactions resulting in five novel crystalline forms. These complexes are valuable precursors for the preparation of epitaxial REBa2Cu3O7-δ (REBCO) superconducting films (here, RE = Y, Sm, Gd, and Yb) through the innovative transient liquid-assisted growth (TLAG) process based on chemical solution deposition (CSD). TLAG-CSD shows impressive results with YBa2Cu3O7-δ (YBCO), obtaining critical current densities of 2.6 MA/cm2 (77 K) on 500 nm films at unprecedented growth rates (50-2000 nm/s), boosting unprecedented high-throughput industrial production. With a cardinal concern on designing the pyrolysis toward optimal nanocrystalline films for TLAG, an analysis of the thermal behavior of the synthesized precursors is essential. Decomposition pathways for each metal propionate are established, and compatibility with TLAG-CSD is corroborated. Metal-organic solutions for these REBCO systems are successfully prepared, and their rheological properties and thermal behavior are analyzed. This work demonstrates homogeneous nanocrystalline films through propionate-based REBCO precursor solutions, including several rare-earth ions, which display exemplary chemical and microstructural characteristics crucial for TLAG, and provides a base for a wide variety of CSD-based functional oxides.
Collapse
Affiliation(s)
- Lavinia Saltarelli
- Institut
de Ciència de Materials de Barcelona, ICMAB-CSIC, Campus de la UAB, Bellaterra, Catalonia 08193, Spain
| | | | - Kapil Gupta
- Institut
de Ciència de Materials de Barcelona, ICMAB-CSIC, Campus de la UAB, Bellaterra, Catalonia 08193, Spain
| | - Aiswarya Kethamkuzhi
- Institut
de Ciència de Materials de Barcelona, ICMAB-CSIC, Campus de la UAB, Bellaterra, Catalonia 08193, Spain
| | - Jordi Farjas
- GRMT,
Department of Physics, University of Girona, Girona, Catalonia E17071, Spain
| | - Elies Molins
- Institut
de Ciència de Materials de Barcelona, ICMAB-CSIC, Campus de la UAB, Bellaterra, Catalonia 08193, Spain
| | - Ramón Yañez
- Departament
de Química, Facultat de Ciències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Catalonia 08193, Spain
| | - Susagna Ricart
- Institut
de Ciència de Materials de Barcelona, ICMAB-CSIC, Campus de la UAB, Bellaterra, Catalonia 08193, Spain
| | - Xavier Obradors
- Institut
de Ciència de Materials de Barcelona, ICMAB-CSIC, Campus de la UAB, Bellaterra, Catalonia 08193, Spain
| | - Teresa Puig
- Institut
de Ciència de Materials de Barcelona, ICMAB-CSIC, Campus de la UAB, Bellaterra, Catalonia 08193, Spain
| |
Collapse
|
2
|
Alimenti A, Torokhtii K, Vidal García P, Pompeo N, Silva E. Design and Test of a New Dielectric-Loaded Resonator for the Accurate Characterization of Conductive and Dielectric Materials. SENSORS (BASEL, SWITZERLAND) 2023; 23:518. [PMID: 36617119 PMCID: PMC9824293 DOI: 10.3390/s23010518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/28/2022] [Accepted: 12/28/2022] [Indexed: 06/17/2023]
Abstract
The spread of additive manufacturing techniques in the prototyping and realization of high-frequency applications renewed the interest in the characterization of the electromagnetic properties of both dielectric and conductive materials, as well as the design of new versatile measurement techniques. In this framework, a new configuration of a dielectric-loaded resonator is presented. Its optimization, realization, and use are presented. A measurement repeatability of about one order of magnitude lower than the commonly found values (10-3 on the Q-factor and 15×10-6 on the resonance frequency, given in terms of the relative standard deviations of repeated measurements) was reached thanks to the design of a closed resonator in which the samples can be loaded without disassembling the whole measurement fixture. The uncertainty levels, the ease of use, and the versatility of the realized system make its use of potential interest in numerous scenarios.
Collapse
Affiliation(s)
- Andrea Alimenti
- Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Roma, Italy
| | - Kostiantyn Torokhtii
- Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Roma, Italy
| | - Pablo Vidal García
- Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Roma, Italy
| | - Nicola Pompeo
- Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Roma, Italy
- Istituto Nazionale di Fisica Nucleare INFN, Sezione Roma Tre, Via della Vasca Navale 84, 00146 Roma, Italy
| | - Enrico Silva
- Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Roma, Italy
- Istituto Nazionale di Fisica Nucleare INFN, Sezione Roma Tre, Via della Vasca Navale 84, 00146 Roma, Italy
| |
Collapse
|
3
|
Queraltó A, Pacheco A, Jiménez N, Ricart S, Obradors X, Puig T. Defining inkjet printing conditions of superconducting cuprate films through machine learning. JOURNAL OF MATERIALS CHEMISTRY. C 2022; 10:6885-6895. [PMID: 35665056 PMCID: PMC9069570 DOI: 10.1039/d1tc05913k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 04/06/2022] [Indexed: 05/13/2023]
Abstract
The design and optimization of new processing approaches for the development of rare earth cuprate (REBCO) high temperature superconductors is required to increase their cost-effective fabrication and promote market implementation. The exploration of a broad range of parameters enabled by these methods is the ideal scenario for a new set of high-throughput experimentation (HTE) and data-driven tools based on machine learning (ML) algorithms that are envisaged to speed up this optimization in a low-cost and efficient manner compatible with industrialization. In this work, we developed a data-driven methodology that allows us to analyze and optimize the inkjet printing (IJP) deposition process of REBCO precursor solutions. A dataset containing 231 samples was used to build ML models. Linear and tree-based (Random Forest, AdaBoost and Gradient Boosting) regression algorithms were compared, reaching performances above 87%. Model interpretation using Shapley Additive Explanations (SHAP) revealed the most important variables for each study. We could determine that to ensure homogeneous CSD films of 1 micron thickness without cracks after the pyrolysis, we need average drop volumes of 190-210 pl, and no. of drops between 5000 and 6000, delivering a total volume deposited close to 1 μl.
Collapse
Affiliation(s)
- Albert Queraltó
- Institut de Ciència de Materials de Barcelona (ICMAB-CSIC) Campus UAB 08193 Bellaterra Catalonia Spain +34 93 580 18 53
| | - Adrià Pacheco
- Institut de Ciència de Materials de Barcelona (ICMAB-CSIC) Campus UAB 08193 Bellaterra Catalonia Spain +34 93 580 18 53
| | - Nerea Jiménez
- Institut de Ciència de Materials de Barcelona (ICMAB-CSIC) Campus UAB 08193 Bellaterra Catalonia Spain +34 93 580 18 53
| | - Susagna Ricart
- Institut de Ciència de Materials de Barcelona (ICMAB-CSIC) Campus UAB 08193 Bellaterra Catalonia Spain +34 93 580 18 53
| | - Xavier Obradors
- Institut de Ciència de Materials de Barcelona (ICMAB-CSIC) Campus UAB 08193 Bellaterra Catalonia Spain +34 93 580 18 53
| | - Teresa Puig
- Institut de Ciència de Materials de Barcelona (ICMAB-CSIC) Campus UAB 08193 Bellaterra Catalonia Spain +34 93 580 18 53
| |
Collapse
|