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	1.	Extrapolating Quantum Observables with Machine Learning: Inferring Multiple Phase Transitions from Properties of a Single Phase. [electronic resource] by Vargas-Hernández, Rodrigo A Sous, John Berciu, Mona Krems, Roman V Producer: 20190110 In: Physical review letters vol. 121 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	2.	Neural networks vs Gaussian process regression for representing potential energy surfaces: A comparative study of fit quality and vibrational spectrum accuracy. [electronic resource] by Kamath, Aditya Vargas-Hernández, Rodrigo A Krems, Roman V Carrington, Tucker Manzhos, Sergei Producer: 20180702 In: The Journal of chemical physics vol. 148 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	3.	Six-dimensional potential energy surface for NaK-NaK collisions: Gaussian process representation with correct asymptotic form. [electronic resource] by Christianen, Arthur Karman, Tijs Vargas-Hernández, Rodrigo A Groenenboom, Gerrit C Krems, Roman V Producer: 20190226 In: The Journal of chemical physics vol. 150 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)
	4.	Assessing Gaussian Process Regression and Permutationally Invariant Polynomial Approaches To Represent High-Dimensional Potential Energy Surfaces. [electronic resource] by Qu, Chen Yu, Qi Van Hoozen, Brian L Bowman, Joel M Vargas-Hernández, Rodrigo A Producer: 20180710 In: Journal of chemical theory and computation vol. 14 Online resources: Available from publisher's website Availability: No items available. Save to lists Add to cart (remove)