Anja Aarva

SOFC and MCFC: Commonalities and opportunities for integrated research

Stephen J. McPhail, Anja Aarva, Hary Devianto et al. · International Journal of Hydrogen Energy · 2010 · 107 citations

Methodological Development, Integrated Research, Management +4

Reactivity of Amorphous Carbon Surfaces: Rationalizing the Role of Structural Motifs in Functionalization Using Machine Learning

A. Miguel, Anja Aarva, Volker L. Deringer et al. · Chemistry of Materials · 2018 · 105 citations · Full text

Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part I: Fingerprint Spectra

Anja Aarva, Volker L. Deringer, Sami Sainio et al. · Chemistry of Materials · 2019 · 104 citations · Full text

X-ray Crystallography, X-ray Spectroscopy, Machine Learning +16

Computational Surface Chemistry of Tetrahedral Amorphous Carbon by Combining Machine Learning and Density Functional Theory

Volker L. Deringer, A. Miguel, Richard Jana et al. · Chemistry of Materials · 2018 · 95 citations · Full text

Computational Surface Chemistry, Engineering, Machine Learning +20

Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part II: Quantitative Fitting of Spectra

Anja Aarva, Volker L. Deringer, Sami Sainio et al. · Chemistry of Materials · 2019 · 76 citations · Full text