Sergei Manzhos

According to our database1, Sergei Manzhos authored at least 9 papers between 2009 and 2022.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method.
Comput. Phys. Commun., 2022

2021
Rectangularization of Gaussian process regression for optimization of hyperparameters.
CoRR, 2021

On the optimization of hyperparameters in Gaussian process regression.
CoRR, 2021

Easy representation of multivariate functions with low-dimensional terms via Gaussian process regression kernel design: applications to machine learning of potential energy surfaces and kinetic energy densities from sparse data.
CoRR, 2021

2020
Machine learning for the solution of the Schrödinger equation.
Mach. Learn. Sci. Technol., 2020

CONUNDrum: A program for orbital-free density functional theory calculations.
Comput. Phys. Commun., 2020

2015
A Comparative Density Functional Theory and Density Functional Tight Binding Study of Phases of Nitrogen Including a High Energy Density Material N<sub>8</sub>.
Comput., 2015

2013
Effect of Isotopic Substitution on Elementary Processes in Dye-Sensitized Solar Cells: Deuterated Amino-Phenyl Acid Dyes on TiO<sub>2</sub>.
Comput., 2013

2009
Fitting sparse multidimensional data with low-dimensional terms.
Comput. Phys. Commun., 2009


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