Zobrazeno 1 - 10
of 1 012
pro vyhledávání: '"Material synthesis"'
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 4, Iss 1 (2024)
Autonomous experiments for material synthesis have been developing with increasing speed. With the expanding search space for accessible materials, the efficient collection of prior knowledge, particularly synthesis conditions, before autonomous expe
Externí odkaz:
https://doaj.org/article/cceaf48636f249e59d3dd7986f3c5a3e
Publikováno v:
Frontiers in Materials, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/cca2811fe537497ab7cdfef0775e37a8
Publikováno v:
Frontiers in Materials, Vol 11 (2024)
Bacteria are present in the environment around us, including in the air, water, and soil. Moreover, infection-causing bacteria are transmitted indirectly through the air, food, and water, as well as through direct contact. Upon entering the human bod
Externí odkaz:
https://doaj.org/article/80287037533e4b86b7e9c91b18348a65
Publikováno v:
Results in Physics, Vol 63, Iss , Pp 107864- (2024)
In the era of increasing environmental pollution and energy crisis, the development of thermoelectric materials to achieve the reuse of waste heat energy is of great significance. SnTe, as an environmentally friendly thermoelectric material, its high
Externí odkaz:
https://doaj.org/article/53a22d990d49432b9556651d3e7c172f
Autor:
Jie Zhang, Huanxiang Ding
Publikováno v:
Frontiers in Chemistry, Vol 11 (2023)
With the continuous development of flexible electronics, multi-functional device integration, artificial intelligence technology, etc., flexible wearable sensors are playing an increasingly important role in people’s daily motion monitoring. Howeve
Externí odkaz:
https://doaj.org/article/f673585715e54361a9acf403ff039dad
Autor:
Md Hosne Mobarak, Mariam Akter Mimona, Md. Aminul Islam, Nayem Hossain, Fatema Tuz Zohura, Ibnul Imtiaz, Md Israfil Hossain Rimon
Publikováno v:
Applied Surface Science Advances, Vol 18, Iss , Pp 100523- (2023)
This comprehensive review investigates the multifaceted applications of machine learning in materials research across six key dimensions, redefining the field's boundaries. It explains various knowledge acquisition mechanisms starting with supervised
Externí odkaz:
https://doaj.org/article/12e71bf6837f4bcf80595458b3872d8c
Autor:
Seda Zirek
Publikováno v:
Systems and Soft Computing, Vol 5, Iss , Pp 200051- (2023)
Three-dimensional solid computational representations of natural heterogeneous materials are challenging to generate due to their high degree of randomness and varying scales of patterns, such as veins and cracks, in different sizes and directions. I
Externí odkaz:
https://doaj.org/article/87193e32eb554807a6f347203049e1b6
Autor:
Ryo Nakayama, Ryota Shimizu, Taishi Haga, Takefumi Kimura, Yasunobu Ando, Shigeru Kobayashi, Nobuaki Yasuo, Masakazu Sekijima, Taro Hitosugi
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 2, Iss 1, Pp 119-128 (2022)
Materials exploration requires the optimization of a multidimensional space including the chemical composition and synthesis parameters such as temperature and pressure. Bayesian optimization has attracted attention as a method for efficient multidim
Externí odkaz:
https://doaj.org/article/f6d489e50a724da3a4bfcd279db222a9
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