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result(s) for
"Materials processing"
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Reticular synthesis and the design of new materials
by
Chae, Hee K.
,
O'Keeffe, Michael
,
Kim, Jaheon
in
Cross-disciplinary physics: materials science; rheology
,
Crystallography
,
Design
2003
The long-standing challenge of designing and constructing new crystalline solid-state materials from molecular building blocks is just beginning to be addressed with success. A conceptual approach that requires the use of secondary building units to direct the assembly of ordered frameworks epitomizes this process: we call this approach reticular synthesis. This chemistry has yielded materials designed to have predetermined structures, compositions and properties. In particular, highly porous frameworks held together by strong metal–oxygen–carbon bonds and with exceptionally large surface area and capacity for gas storage have been prepared and their pore metrics systematically varied and functionalized.
Journal Article
Hydrothermal processing of materials: past, present and future
by
Yoshimura, M.
,
Byrappa, K.
in
Characterization and Evaluation of Materials
,
Chemistry and Materials Science
,
Classical Mechanics
2008
The hydrothermal technique provides an excellent possibility for processing of advanced materials whether it is bulk single crystals, or fine particles, or nanoparticles. The advantages of hydrothermal technology have been discussed in comparison with the conventional methods of materials processing. The current trends in hydrothermal materials processing has been described in relation to the concept of soft solution processing, as a single-step low energy consuming fabrication technique. Also some recent developments in multi-energy processing of materials such as microwave-hydrothermal, mechanochemical-hydrothermal, electrochemical-hydrothermal, sonar-hydrothermal, etc. have been discussed. An overview of the past, present and future perspective of hydrothermal technology as a tool to fabricate advanced materials has been given with appropriate examples.
Journal Article
Data-driven leadership
\"School leaders must know how to analyze, interpret, and use data so that they can make informed decisions in all areas of education, ranging from professional development to student learning. This book offers strategies and tools to help launch or fine-tune efforts to become a performance-driven school. Based on the authors' extensive work with 12 schools, the book includes an examination of such essential topics as: establishing a data culture, investing in an information management system, selecting the right data, and analyzing and acting on data to improve performance\"-- Provided by publisher.
Machine Learning and Artificial Intelligence for Advanced Materials Processing: A review on opportunities and challenges
2024
This research paper explores the opportunities and challenges associated with the use of machine learning and artificial intelligence in advanced materials processing. With the exponential growth of data, advanced analytical techniques and powerful computational tools, machine learning and artificial intelligence can be leveraged to develop novel materials with tailored properties, enhance process optimization, and improve manufacturing efficiencies. However, the integration of these technologies into materials processing systems is not without challenges, including data acquisition and pre-processing, algorithm selection and optimization, and the interpretation of results. This paper provides an overview of the state-of-the-art in machine learning and artificial intelligence for advanced materials processing, highlighting case studies and examples of successful applications, and identifying potential future research directions. The goal of this research is to provide insights and recommendations to accelerate the adoption of these technologies and their impact on the development of advanced materials.
Conference Proceeding
Basic Properties of High-Dynamic Beam Shaping with Coherent Combining of High-Power Laser Beams for Materials Processing
by
Urbach, Benayahu
,
Peter, Alexander
,
Shekel, Eyal
in
coherent beam combining (CBC)
,
Diffraction patterns
,
dynamic beam lasers (DBL)
2025
Lasers with average powers of several kilowatts have become an important tool for industrial applications. Temporal and spatial beam shaping was demonstrated to improve existing and enable novel applications. A very promising technology for both highly dynamic beam shaping and power scaling is the coherent combining of the beams of an array of high-power fundamental mode fibers. However, the limited number of fibers allows only limited spatial resolution of the common phase front. It is therefore favorable to work with plane or spherical common phase fronts, which generate a “point”, i.e., a diffraction pattern with a strong main lobe in the focal plane. By applying a tilt to the common phase front, points can be positioned in the focal plane with high spatial resolution. The Civan DBL 6–14 kW investigated in this work allows switching between positions of the points with 80 MHz. Sequences of points can be used to create arbitrary shapes. The time constants of points and shapes are very critical for this type of shape generation. The current paper analyzes the relevant time constants for setting points and creating shapes and relates them to time constants in laser processes. This is mandatory to deterministically influence laser processes.
Journal Article