Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Yuma Iwasaki"'
Autor:
Yuma Iwasaki, Ryo Toyama, Takahiro Yamazaki, Yasuhiko Igarashi, Masato Kotsugi, Yuya Sakuraba
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 4, Iss 1 (2024)
Exploring vast material spaces efficiently is challenging in materials science. Autonomous methods for material search – integrating machine learning and ab initio calculations – have emerged as powerful alternatives to traditional approaches, wh
Externí odkaz:
https://doaj.org/article/029bf5adfe5a4eba8ced8aa1e9861364
Autor:
Yuma Iwasaki
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 4, Iss 1 (2024)
Efficient exploration of vast material spaces is a challenging task in materials science. Autonomous material search methods utilizing machine learning and ab initio calculations have emerged as powerful alternatives to traditional material discovery
Externí odkaz:
https://doaj.org/article/2a47cce0a9334892b350593e29febaa5
Autor:
Takenori Inomata, Jaemyoung Sung, Kenta Fujio, Masahiro Nakamura, Yasutsugu Akasaki, Ken Nagino, Yuichi Okumura, Masao Iwagami, Keiichi Fujimoto, Nobuyuki Ebihara, Akie Midorikawa-Inomata, Hurramhon Shokirova, Tianxiang Huang, Kunihiko Hirosawa, Maria Miura, Mizu Ohno, Yuki Morooka, Nanami Iwata, Yuma Iwasaki, Akira Murakami
Publikováno v:
Allergology International, Vol 72, Iss 3, Pp 418-427 (2023)
Background: Multidisciplinary efforts to prospectively collect and analyze symptoms of hay fever are limited. We aimed to identify the characteristics of nasal and ocular symptoms of hay fever, using the AllerSearch smartphone application. Methods: T
Externí odkaz:
https://doaj.org/article/543f9abab30641dbb3d32a79aa9cd96e
Autor:
Jaekyun Hwang, Yuma Iwasaki
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 3, Iss 1 (2023)
Recently, autonomous material search methods combining machine learning and experiments/simulations have become indispensable for exploring the extremely vast material exploration space. However, conventional autonomous material search methods focus
Externí odkaz:
https://doaj.org/article/d69e1d1d0e9749bc9e7ca267704f7a8b
Autor:
Ryo Toyama, Varun K. Kushwaha, Taisuke T. Sasaki, Yuma Iwasaki, Tomoya Nakatani, Yuya Sakuraba
Publikováno v:
APL Materials, Vol 11, Iss 10, Pp 101127-101127-12 (2023)
Half-metallic Heusler alloys are promising candidates for spintronic applications due to their high spin polarization. However, the spin polarization strongly depends on the atomic composition, which is time-consuming to optimize from various composi
Externí odkaz:
https://doaj.org/article/6dff466dd331455da5ee35d685fe9d61
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 2, Iss 1, Pp 280-293 (2022)
We developed an autonomous and efficient system for synthesising ferromagnetic materials with large magnetocrystalline anisotropy by integrating theoretical, informatics, and experimental approaches. By combining the first-principles calculation of t
Externí odkaz:
https://doaj.org/article/4d9454f7412d47e5a5b8dba77f7c8e27
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 2, Iss 1, Pp 162-174 (2022)
Reflection high-energy electron diffraction (RHEED) data are important for the in-situ characterization of surface conditions during physical vapor deposition. Surface superstructures obtained by adsorbing exotic atoms onto a clean silicon surface, w
Externí odkaz:
https://doaj.org/article/8e79551c339b4e439d48ae8814aec6cb
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 2, Iss 1, Pp 365-371 (2022)
Autonomous material search systems that combine ab initio calculations and Bayesian optimization are very promising for exploring huge material spaces. Setting up an appropriate material search space is necessary for efficient autonomous material sea
Externí odkaz:
https://doaj.org/article/c46d67ffaac149dab9a2c06a27c0ce6a
Autor:
Hiroshi Toshida, Tomoto Kasahara, Masamichi Kiriyama, Yuma Iwasaki, Jobu Sugita, Kohei Ichikawa, Toshihiko Ohta, Katsumi Miyahara
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 10, p 8926 (2023)
The first product in the world for ex vivo cultivated oral mucosal epithelial cell transplantation (COMET) to treat limbal stem cell deficiency (LSCD), named Ocural®, was launched in June 2021 in Japan. COMET was performed on two patients, including
Externí odkaz:
https://doaj.org/article/b086cf88ed4445a794f5a2d938070ce7
Publikováno v:
Communications Materials, Vol 2, Iss 1, Pp 1-7 (2021)
Finding materials with large magnetization is highly desirable for technological applications. Here, a machine learning autonomous search and automated combinatorial synthesis reveal that multi-element alloys with Ir and Pt impurities have a magnetiz
Externí odkaz:
https://doaj.org/article/157c58c7e40c43eb891e7c9a61f5ce7b