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Satake T, Kawasaki H, Aoqui S. Preparation of Ti and Fe Composition Gradient Thin Films by Sputtering with Mixed Powder Targets. e-J Surf Sci Nanotechnol 2023. [DOI: 10.1380/ejssnt.2023-021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2023]
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Velasco L, Castillo JS, Kante MV, Olaya JJ, Friederich P, Hahn H. Phase-Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries. Adv Mater 2021; 33:e2102301. [PMID: 34514669 DOI: 10.1002/adma.202102301] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 07/29/2021] [Indexed: 05/27/2023]
Abstract
Exploring the vast compositional space offered by multicomponent systems or high entropy materials using the traditional route of materials discovery, one experiment at a time, is prohibitive in terms of cost and required time. Consequently, the development of high-throughput experimental methods, aided by machine learning and theoretical predictions will facilitate the search for multicomponent materials in their compositional variety. In this study, high entropy oxides are fabricated and characterized using automated high-throughput techniques. For intuitive visualization, a graphical phase-property diagram correlating the crystal structure, the chemical composition, and the band gap are introduced. Interpretable machine learning models are trained for automated data analysis and to speed up data comprehension. The establishment of materials libraries of multicomponent systems correlated with their properties (as in the present work), together with machine learning-based data analysis and theoretical approaches are opening pathways toward virtual development of novel materials for both functional and structural applications.
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Affiliation(s)
- Leonardo Velasco
- Institute of Nanotechnology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
| | - Juan S Castillo
- Institute of Nanotechnology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
- Facultad de Ingeniería, Universidad Nacional de Colombia, Av. Cra. 30 # 45-03, Ed. 407, Ciudad Universitaria, Bogotá, DC, 111321, Colombia
- Joint Research Laboratory Nanomaterials, Technische Universität Darmstadt, Otto-Berndt-Str. 3, 64206, Darmstadt, Germany
| | - Mohana V Kante
- Institute of Nanotechnology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
- Joint Research Laboratory Nanomaterials, Technische Universität Darmstadt, Otto-Berndt-Str. 3, 64206, Darmstadt, Germany
| | - Jhon J Olaya
- Facultad de Ingeniería, Universidad Nacional de Colombia, Av. Cra. 30 # 45-03, Ed. 407, Ciudad Universitaria, Bogotá, DC, 111321, Colombia
| | - Pascal Friederich
- Institute of Nanotechnology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
- Institute of Theoretical Informatics, Karlsruhe Institute of Technology, Am Fasanengarten 5, 76131, Karlsruhe, Germany
| | - Horst Hahn
- Institute of Nanotechnology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany
- Joint Research Laboratory Nanomaterials, Technische Universität Darmstadt, Otto-Berndt-Str. 3, 64206, Darmstadt, Germany
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Mihai C, Sava F, Simandan ID, Galca AC, Burducea I, Becherescu N, Velea A. Structural and optical properties of amorphous Si-Ge-Te thin films prepared by combinatorial sputtering. Sci Rep 2021; 11:11755. [PMID: 34083613 PMCID: PMC8175571 DOI: 10.1038/s41598-021-91138-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 05/21/2021] [Indexed: 11/29/2022] Open
Abstract
The lack of order in amorphous chalcogenides offers them novel properties but also adds increased challenges in the discovery and design of advanced functional materials. The amorphous compositions in the Si–Ge–Te system are of interest for many applications such as optical data storage, optical sensors and Ovonic threshold switches. But an extended exploration of this system is still missing. In this study, magnetron co-sputtering is used for the combinatorial synthesis of thin film libraries, outside the glass formation domain. Compositional, structural and optical properties are investigated and discussed in the framework of topological constraint theory. The materials in the library are classified as stressed-rigid amorphous networks. The bandgap is heavily influenced by the Te content while the near-IR refractive index dependence on Ge concentration shows a minimum, which could be exploited in applications. A transition from a disordered to a more ordered amorphous network at 60 at% Te, is observed. The thermal stability study shows that the formed crystalline phases are dictated by the concentration of Ge and Te. New amorphous compositions in the Si–Ge–Te system were found and their properties explored, thus enabling an informed and rapid material selection and design for applications.
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Affiliation(s)
- C Mihai
- National Institute of Materials Physics, 077125, Magurele, Romania
| | - F Sava
- National Institute of Materials Physics, 077125, Magurele, Romania
| | - I D Simandan
- National Institute of Materials Physics, 077125, Magurele, Romania
| | - A C Galca
- National Institute of Materials Physics, 077125, Magurele, Romania
| | - I Burducea
- Horia Hulubei National Institute of Physics and Nuclear Engineering, 077125, Magurele, Romania
| | - N Becherescu
- Apel Laser Ltd., Vanatorilor 25, 077135, Mogosoaia, Romania
| | - A Velea
- National Institute of Materials Physics, 077125, Magurele, Romania.
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Umehara M, Zhou L, Haber JA, Guevarra D, Kan K, Newhouse PF, Gregoire JM. Combinatorial Synthesis of Oxysulfides in the Lanthanum-Bismuth-Copper System. ACS Comb Sci 2020; 22:319-326. [PMID: 32352756 DOI: 10.1021/acscombsci.0c00015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Establishing synthesis methods for a target material constitutes a grand challenge in materials research, which is compounded with use-inspired specifications on the format of the material. Solar photochemistry using thin film materials is a promising technology for which many complex materials are being proposed, and the present work describes application of combinatorial methods to explore the synthesis of predicted La-Bi-Cu oxysulfide photocathodes, in particular alloys of LaCuOS and BiCuOS. The variation in concentration of three cations and two anions in thin film materials, and crystallization thereof, is achieved by a combination of reactive sputtering and thermal processes including reactive annealing and rapid thermal processing. Composition and structural characterization establish composition-processing-structure relationships that highlight the breadth of processing conditions required for synthesis of LaCuOS and BiCuOS. The relative irreducibility of La oxides and limited diffusion indicate the need for high temperature processing, which conflicts with the temperature limits for mitigating evaporation of Bi and S. Collectively the results indicate that alloys of these phases will require reactive annealing protocols that are uniquely tailored to each composition, motivating advancement of dynamic processing capabilities to further automate discovery of synthesis routes.
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Affiliation(s)
- Mitsutaro Umehara
- Joint Center for Artificial Photosynthesis, California Institute of Technology; Pasadena, California 91125, United States
- Future Mobility Research Department, Toyota Research Institute of North America, Ann Arbor, Michigan 48105, United States
| | - Lan Zhou
- Joint Center for Artificial Photosynthesis, California Institute of Technology; Pasadena, California 91125, United States
| | - Joel A. Haber
- Joint Center for Artificial Photosynthesis, California Institute of Technology; Pasadena, California 91125, United States
| | - Dan Guevarra
- Joint Center for Artificial Photosynthesis, California Institute of Technology; Pasadena, California 91125, United States
| | - Kevin Kan
- Joint Center for Artificial Photosynthesis, California Institute of Technology; Pasadena, California 91125, United States
| | - Paul F. Newhouse
- Joint Center for Artificial Photosynthesis, California Institute of Technology; Pasadena, California 91125, United States
| | - John M. Gregoire
- Joint Center for Artificial Photosynthesis, California Institute of Technology; Pasadena, California 91125, United States
- Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
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Talley KR, Bauers SR, Melamed CL, Papac MC, Heinselman KN, Khan I, Roberts DM, Jacobson V, Mis A, Brennecka GL, Perkins JD, Zakutayev A. COMBIgor: Data-Analysis Package for Combinatorial Materials Science. ACS Comb Sci 2019; 21:537-547. [PMID: 31121098 DOI: 10.1021/acscombsci.9b00077] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Combinatorial experiments involve synthesis of sample libraries with lateral composition gradients requiring spatially resolved characterization of structure and properties. Because of the maturation of combinatorial methods and their successful application in many fields, the modern combinatorial laboratory produces diverse and complex data sets requiring advanced analysis and visualization techniques. In order to utilize these large data sets to uncover new knowledge, the combinatorial scientist must engage in data science. For data science tasks, most laboratories adopt common-purpose data management and visualization software. However, processing and cross-correlating data from various measurement tools is no small task for such generic programs. Here we describe COMBIgor, a purpose-built open-source software package written in the commercial Igor Pro environment and designed to offer a systematic approach to loading, storing, processing, and visualizing combinatorial data. It includes (1) methods for loading and storing data sets from combinatorial libraries, (2) routines for streamlined data processing, and (3) data-analysis and -visualization features to construct figures. Most importantly, COMBIgor is designed to be easily customized by a laboratory, group, or individual in order to integrate additional instruments and data-processing algorithms. Utilizing the capabilities of COMBIgor can significantly reduce the burden of data management on the combinatorial scientist.
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Affiliation(s)
- Kevin R. Talley
- National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States
- Department of Metallurgical and Materials Engineering, Colorado School of Mines, 1500 Illinois Street, Golden, Colorado 80401, United States
| | - Sage R. Bauers
- National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States
| | - Celeste L. Melamed
- National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States
- Department of Physics, Colorado School of Mines, 1500 Illinois Street, Golden, Colorado 80401, United States
| | - Meagan C. Papac
- National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States
- Department of Metallurgical and Materials Engineering, Colorado School of Mines, 1500 Illinois Street, Golden, Colorado 80401, United States
| | - Karen N. Heinselman
- National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States
| | - Imran Khan
- National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States
| | - Dennice M. Roberts
- National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States
- Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado 80309, United States
| | - Valerie Jacobson
- National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States
- Department of Metallurgical and Materials Engineering, Colorado School of Mines, 1500 Illinois Street, Golden, Colorado 80401, United States
| | - Allison Mis
- National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States
- Department of Metallurgical and Materials Engineering, Colorado School of Mines, 1500 Illinois Street, Golden, Colorado 80401, United States
| | - Geoff L. Brennecka
- Department of Metallurgical and Materials Engineering, Colorado School of Mines, 1500 Illinois Street, Golden, Colorado 80401, United States
| | - John D. Perkins
- National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States
| | - Andriy Zakutayev
- National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, Colorado 80401, United States
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Abstract
High-throughput combinatorial investigations are transforming materials discovery, phase diagram development, and processing optimization. Thin-film deposition techniques are frequently used to fabricate sample libraries employed in these studies. Various adaptations of well-known thin-film chemical vapor deposition (CVD) and physical vapor deposition (PVD) techniques utilized for the synthesis of inorganic combinatorial thin-film materials libraries are reviewed, with novel processing approaches being highlighted. Methods for developing gradients in composition of other film properties are described. Issues and considerations specific to thin-film processing of combinatorial materials libraries are discussed, with some emphasis on catalytic applications.
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Affiliation(s)
- Paul J. McGinn
- Department of Chemical and Biomolecular Engineering University of Notre Dame, Notre Dame, Indiana 46556, United States
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