ブラウズ : 資料種別 Journal Article
| 書誌情報 | ファイル |
|---|---|
| M-body density functional theory and the generalized hypernetted-chain equation Munakata, T; Kim, K (2000-09-08) JOURNAL OF CHEMICAL PHYSICS, 113(10): 3975-3979 |  |
| m-plane GaN layers grown by rf-plasma assisted molecular beam epitaxy with varying Ga/N flux ratios on m-plane 4H-SiC substrates Armitage, R.; Horita, M.; Suda, J.; Kimoto, T. (2007) JOURNAL OF APPLIED PHYSICS, 101(3) | |
| Maass relations in higher genus Yamana, Shunsuke (2009-03) Mathematische Zeitschrift, 265(2): 263-276 | |
| Machine learning accelerates MD-based binding pose prediction between ligands and proteins Terayama, Kei; Iwata, Hiroaki; Araki, Mitsugu; Okuno, Yasushi; Tsuda, Koji (2018-03-01) Bioinformatics, 34(5): 770-778 | |
| A machine learning approach to the prediction of the dispersion property of oxide glass Tokuda, Yomei; Fujisawa, Misa; Ogawa, Jinto; Ueda, Yoshikatsu (2021-12) AIP Advances, 11(12) | |
| Machine learning for combinatorial optimization of brace placement of steel frames Tamura, Takuya; Ohsaki, Makoto; Takagi, Jiro (2018-10) Japan Architectural Review, 1(4): 419-430 | |
| Machine Learning for Extracting Features of Approximate Optimal Brace Locations for Steel Frames Sakaguchi, Kazuma; Ohsaki, Makoto; Kimura, Toshiaki (2021) Frontiers in Built Environment, 6 | |
| Machine learning potentials for multicomponent systems: The Ti-Al binary system Seko, Atsuto (2020-11-01) Physical Review B, 102(17) | |
| Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single- and binary-component solids Seko, Atsuto; Maekawa, Tomoya; Tsuda, Koji; Tanaka, Isao (2014-02) Physical Review B, 89(5) | |
| Machine learning-based prediction models for accidental hypothermia patients Okada, Yohei; Matsuyama, Tasuku; Morita, Sachiko; Ehara, Naoki; Miyamae, Nobuhiro; Jo, Takaaki; Sumida, Yasuyuki; Okada, Nobunaga; Watanabe, Makoto; Nozawa, Masahiro; Tsuruoka, Ayumu; Fujimoto, Yoshihiro; Okumura, Yoshiki; Kitamura, Tetsuhisa; Iiduka, Ryoji; Ohtsuru, Shigeru (2021) Journal of Intensive Care, 9 | |
| Machine learning-based prediction of relapse in rheumatoid arthritis patients using data on ultrasound examination and blood test Matsuo, Hidemasa; Kamada, Mayumi; Imamura, Akari; Shimizu, Madoka; Inagaki, Maiko; Tsuji, Yuko; Hashimoto, Motomu; Tanaka, Masao; Ito, Hiromu; Fujii, Yasutomo (2022) Scientific Reports, 12 | |
| Machine-Learning Optimization of Multiple Measurement Parameters Nonlinearly Affecting the Signal Quality Fujisaku, Takahiro; So, Frederick Tze Kit; Igarashi, Ryuji; Shirakawa, Masahiro (2021-08-18) ACS Measurement Science Au, 1(1): 20-26 | |
| Machine-learning-based high-benefit approach versus conventional high-risk approach in blood pressure management Inoue, Kosuke; Athey, Susan; Tsugawa, Yusuke (2023-08) International Journal of Epidemiology, 52(4): 1243-1256 | |
| A machining test to calibrate rotary axis error motions of five-axis machine tools and its application to thermal deformation test Ibaraki, Soichi; Ota, Yusuke (2014-11) International Journal of Machine Tools and Manufacture, 86: 81-88 | |
| Machining tests to identify kinematic errors on five-axis machine tools Ibaraki, Soichi; Sawada, Masahiro; Matsubara, Atsushi; Matsushita, Tetsuya (2010-07) Precision Engineering, 34(3): 387-398 | |
| Machining tests to identify kinematic errors on five-axis machine tools Ibaraki, Soichi; Sawada, Masahiro; Matsubara, Atsushi; Matsushita, Tetsuya (2010) PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 34(3): 387-398 | |
| Macro- and microphase transitions in binary blends of block copolymers with complementarily asymmetric compositions Yamaguchi, D; Takenaka, M; Hasegawa, H; Hashimoto, T (2001) MACROMOLECULES, 34(6): 1707-1719 | |
| Macro- and microporous carbon monoliths with high surface areas pyrolyzed from poly(divinylbenzene) networks Hasegawa, Joji; Kanamori, Kazuyoshi; Nakanishi, Kazuki; Hanada, Teiichi (2010-01) Comptes Rendus Chimie, 13(1-2): 207-211 | |
| Macrocyclic glycoclusters. Self-aggregation and phosphate-induced agglutination behaviors of calix[4]resorcarene-based quadruple-chain amphiphiles with a huge oligosaccharide pool Hayashida, O; Mizuki, K; Akagi, K; Matsuo, A; Kanamori, T; Nakai, T; Sando, S; Aoyama, Y (2003) JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 125(2): 594-601 | |
| Macrocyclic glycoclusters: From amphiphiles through nanoparticles to glycoviruses Aoyama, Y (2004) doi:10.1002/chem.200305288, 10(3): 588-593 |