Kevin A. Spiekermann

According to our database, Kevin A. Spiekermann authored at least 3 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Comment on 'Physics-based representations for machine learning properties of chemical reactions'.

Kevin A. Spiekermann, Thijs Stuyver, Lagnajit Pattanaik, William H. Green Jr.

Mach. Learn. Sci. Technol., December, 2023

Machine Learning Validation via Rational Dataset Sampling with astartes.

Jackson W. Burns, Kevin A. Spiekermann, Himaghna Bhattacharjee, Dionisios G. Vlachos, William H. Green Jr.

J. Open Source Softw., November, 2023

2022

RMG Database for Chemical Property Prediction.

Matthew S. Johnson, Xiaorui Dong, Alon Grinberg Dana, Yunsie Chung, David Farina, Ryan J. Gillis, Mengjie Liu, Nathan W. Yee, Katrin Blondal, Emily J. Mazeau, Colin A. Grambow, A. Mark Payne, Kevin A. Spiekermann, Hao-Wei Pang, C. Franklin Goldsmith, Richard H. West, William H. Green Jr.

J. Chem. Inf. Model., 2022