Machine learning for efficient grazing-exit x-ray absorption near edge structure spectroscopy analysis: Bayesian optimization approach

MLA

Cafer Tufan Cakir, et al. “Machine Learning for Efficient Grazing-Exit x-Ray Absorption near Edge Structure Spectroscopy Analysis: Bayesian Optimization Approach.” Machine Learning: Science and Technology, vol. 5, no. 2, Jan. 2024, p. 025037. EBSCOhost, https://doi.org/10.1088/2632-2153/ad4253.

APA

Cafer Tufan Cakir, Can Bogoclu, Franziska Emmerling, Christina Streli, Ana Guilherme Buzanich, & Martin Radtke. (2024). Machine learning for efficient grazing-exit x-ray absorption near edge structure spectroscopy analysis: Bayesian optimization approach. Machine Learning: Science and Technology, 5(2), 025037. https://doi.org/10.1088/2632-2153/ad4253

Chicago

Cafer Tufan Cakir, Can Bogoclu, Franziska Emmerling, Christina Streli, Ana Guilherme Buzanich, and Martin Radtke. 2024. “Machine Learning for Efficient Grazing-Exit x-Ray Absorption near Edge Structure Spectroscopy Analysis: Bayesian Optimization Approach.” Machine Learning: Science and Technology 5 (2): 025037. doi:10.1088/2632-2153/ad4253.