Results 21 to 30 of about 5,516,430 (308)
The Materials Science behind Sustainable Metals and Alloys
Production of metals stands for 40% of all industrial greenhouse gas emissions, 10% of the global energy consumption, 3.2 billion tonnes of minerals mined, and several billion tonnes of by-products every year.
D. Raabe
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In this work, we experimentally investigate the dependence of the stimulated Raman scattering (SRS) effect on the seed linewidth of a high-power nanosecond superfluorescent fiber source (ns-SFS). The results reveal that the SRS in the ns-SFS amplifier is
Chaoyu Ning +10 more
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1.2 kW all-fiber narrow-linewidth picosecond MOPA system
Achieving an all-fiber ultra-fast system with above kW average power and mJ pulse energy is extremely challenging. This paper demonstrated a picosecond monolithic master oscillator power amplifier system at a 25 MHz repetition frequency with an average ...
Jiexi Zuo +9 more
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Role of AI in experimental materials science
Over the past five years, artificial intelligence (AI) has grown significantly in different aspects of our daily lives, including health, transportation, and the digital world, all by leveraging data.
M. Abolhasani, Keith A. Brown
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Autonomous experimental systems in materials science
The emergence of autonomous experimental systems integrating machine learning and robots is ushering in a paradigm shift in materials science. Using computer algorithms and robots to decide and perform all experimental steps, these systems require no ...
Naoya Ishizuki, R. Shimizu, T. Hitosugi
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The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain [PDF]
This paper presents a new challenging information extraction task in the domain of materials science. We develop an annotation scheme for marking information on experiments related to solid oxide fuel cells in scientific publications, such as involved ...
Annemarie Friedrich +6 more
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Chemistry And Materials Science For All Engineering Disciplines: A Novel, Interdisciplinary, Team Teaching Approach [PDF]
Comment: 7 ...
Wayne Wentzheimer +3 more
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Digital Transformation in Materials Science: A Paradigm Change in Material's Development
The ongoing digitalization is rapidly changing and will further revolutionize all parts of life. This statement is currently omnipresent in the media as well as in the scientific community; however, the exact consequences of the proceeding digitalization
Julian Kimmig, S. Zechel, U. Schubert
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Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science
Automatic Feature Engineering (AFE) aims to extract useful knowledge for interpretable predictions given data for the machine learning tasks. Here, we develop AFE to extract dependency relationships that can be interpreted with functional formulas to ...
Ziyu Xiang +7 more
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High-voltage non-aqueous lithium metal batteries suffer from poor cycling stability due to the presence of impurities in the electrolyte solution. Here, the authors report lithium hexamethyldisilazide to scavenge HF and H2O, prevent the Ni dissolution ...
Danfeng Zhang +14 more
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