Zobrazeno 1 - 10
of 285
pro vyhledávání: '"Yoshihiro Yamazaki"'
Autor:
Susumu Fujii, Junji Hyodo, Kazuki Shitara, Akihide Kuwabara, Shusuke Kasamatsu, Yoshihiro Yamazaki
Publikováno v:
Science and Technology of Advanced Materials, Vol 25, Iss 1 (2024)
This review presents computational and machine learning methodologies developed during a 5-year research project on proton-conducting oxides. The main goal was to develop methodologies that could assist in materials discovery or provide new insights
Externí odkaz:
https://doaj.org/article/66702fbd92e5461292685b2189a68796
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract In soccer game analysis, the widespread availability of play-by-play and tracking data has made it possible to test mathematical models that have been discussed mainly theoretically. One of the essential models in soccer game analysis is a m
Externí odkaz:
https://doaj.org/article/b16fb55165a949edabd4d01dea3fe686
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract In football game analysis, space evaluation is an important issue because it is directly related to the quality of ball passing or player formations. Previous studies have primarily focused on a field division approach wherein a field is div
Externí odkaz:
https://doaj.org/article/4ca74d330d394c44b289163df84a8803
Publikováno v:
Japan Architectural Review, Vol 3, Iss 4, Pp 518-528 (2020)
Abstract Repeated cyclic loading is thought to decrease the force and deformation capacity of timber shear walls due to the fatigue behavior. This study evaluates the strength and energy dissipation of two typical timber shear walls subjected to vari
Externí odkaz:
https://doaj.org/article/56f37b0a8b9e498ebd97b05836007773
Dual Equivalent Lateral Force Method for Low-Rise Wooden Horizontal Hybrid Structure with Rigid Core
Publikováno v:
Shock and Vibration, Vol 2018 (2018)
Hybrid structure has shown some great features in the earthquake-resistant design. However, due to the different properties between the combined building systems, the distributions of structural mass and stiffness are prevalently irregular in breadth
Externí odkaz:
https://doaj.org/article/968363eab45b49ffabddd46e525d67b0
Publikováno v:
Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol 2, Iss 5, Pp 915-925 (2008)
Logistics has been acknowledged increasingly as a key issue of supply chain management to improve business efficiency under global competition and diversified customer demands. This study aims at improving a quality of strategic decision making assoc
Externí odkaz:
https://doaj.org/article/bae7549643c64745a3fc3e7b0d9ede7d
Publikováno v:
Revista de Cercetare şi Intervenţie Socială / Review of Research and Social Intervention. (64):199-212
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=755071
High-throughput computational screening and machine learning hold significant promise for exploring diverse chemical compositions and discovering novel inorganic solids. However, the complexity of point defects, which occur in all inorganic solids an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::856cd9a2bfd09dcf6c3eeb95a7482c5a
https://doi.org/10.26434/chemrxiv-2023-6dcr9-v2
https://doi.org/10.26434/chemrxiv-2023-6dcr9-v2
Autor:
Keisuke Taga, Yoshihiro Yamazaki
Publikováno v:
Journal of the Physical Society of Japan. 92
We propose a new model for pattern formation in peeling of an adhesive tape based on the equation of motion for the displacement of deformed adhesives in the peel front. The spatiotemporal patterns obtained from the model are consistent with those fr
The critical roles of computations and machine learning in accelerating materials discovery have become increasingly recognized, particularly in predicting and interpreting the synthesizability and functionality of new materials. Here, we develop a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::426b1d6696a686d68fd2425f5a4729ff
https://doi.org/10.26434/chemrxiv-2023-6dcr9
https://doi.org/10.26434/chemrxiv-2023-6dcr9