Annika Stuke
Columbia University(US)
Publications by Year
Research Areas
Machine Learning in Materials Science, Advanced Chemical Physics Studies, Computational Drug Discovery Methods, Mass Spectrometry Techniques and Applications, Various Chemistry Research Topics
Most-Cited Works
- → Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra(2019)260 cited
- → Efficient hyperparameter tuning for kernel ridge regression with Bayesian optimization(2022)100 cited
- → Accelerated Atomistic Modeling of Solid-State Battery Materials With Machine Learning(2021)64 cited
- → Machine Learning: Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra (Adv. Sci. 9/2019)(2019)13 cited
- → Atomic structures and orbital energies of 61,489 crystal-forming organic molecules(2020)4 cited
- Machine learning for spectroscopic properties of organic molecules(2020)
- → AA Data(2022)
- → Atomic structures and orbital energies of 61,489 crystal-forming organic\n molecules(2020)
- → Scalable training of neural network potentials for complex interfaces through data augmentation(2025)