نتائج البحث - "Manzhos, Sergei"

1

تقرير

Machine learning the screening factor in the soft bond valence approach for rapid crystal structure estimation

المؤلفون: Kameda, Keisuke, Ariga, Takaaki, Ito, Kazuma, Ihara, Manabu, Manzhos, Sergei

مصطلحات موضوعية: Condensed Matter - Materials Science

الوصول الحر: http://arxiv.org/abs/2406.17197Test

View record in Arxiv

2

تقرير

Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension

المؤلفون: Manzhos, Sergei, Ihara, Manabu

المصدر: J. Chem. Phys. 160, 021101 (2024)

مصطلحات موضوعية: Physics - Computational Physics, Computer Science - Machine Learning

الوصول الحر: http://arxiv.org/abs/2311.10790Test

View record in Arxiv

3

تقرير

Machine learning of kinetic energy densities with target and feature averaging: better results with fewer training data

المؤلفون: Manzhos, Sergei, Lüder, Johann, Ihara, Manabu

المصدر: J. Chem. Phys. 159, 234115 (2023)

مصطلحات موضوعية: Condensed Matter - Materials Science

الوصول الحر: http://arxiv.org/abs/2309.03482Test

View record in Arxiv

4

تقرير

Atoms, dimers, and nanoparticles from orbital-free density-potential functional theory

المؤلفون: Trappe, Martin-Isbjörn, Witt, William C., Manzhos, Sergei

مصطلحات موضوعية: Condensed Matter - Materials Science, Condensed Matter - Quantum Gases, Physics - Chemical Physics

الوصول الحر: http://arxiv.org/abs/2304.10059Test

View record in Arxiv

5

تقرير

Orders-of-coupling representation with a single neural network with optimal neuron activation functions and without nonlinear parameter optimization

المؤلفون: Manzhos, Sergei, Ihara, Manabu

المصدر: Artificial Intelligence Chemistry 1, 100013 (2023)

مصطلحات موضوعية: Computer Science - Machine Learning

الوصول الحر: http://arxiv.org/abs/2302.12013Test

View record in Arxiv

6

تقرير

Neural network with optimal neuron activation functions based on additive Gaussian process regression

المؤلفون: Manzhos, Sergei, Ihara, Manabu

المصدر: J. Phys. Chem. A, 127, 7823-7835 (2023)

مصطلحات موضوعية: Statistics - Machine Learning, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing

الوصول الحر: http://arxiv.org/abs/2301.05567Test

View record in Arxiv

7

تقرير

The loss of the property of locality of the kernel in high-dimensional Gaussian process regression on the example of the fitting of molecular potential energy surfaces

المؤلفون: Manzhos, Sergei, Ihara, Manabu

المصدر: J. Chem. Phys. 158, 044111 (2023)

مصطلحات موضوعية: Statistics - Machine Learning, Computer Science - Machine Learning, Physics - Chemical Physics

الوصول الحر: http://arxiv.org/abs/2211.11170Test

View record in Arxiv

8

تقرير

Non-invasive improvement of machining by reversible electrochemical doping: a proof of principle with computational modeling

المؤلفون: Sorkin, Anastassia, Guo, Yunfa, Ihara, Manabu, Manzhos, Sergei, Wang, Hao

مصطلحات موضوعية: Condensed Matter - Materials Science, Physics - Applied Physics

الوصول الحر: http://arxiv.org/abs/2208.06268Test

View record in Arxiv

9

تقرير

Rectangularization of Gaussian process regression for optimization of hyperparameters

المؤلفون: Manzhos, Sergei, Ihara, Manabu

المصدر: Machine Learning with Applications 13, 100487 (2023)

مصطلحات موضوعية: Mathematics - Numerical Analysis

الوصول الحر: http://arxiv.org/abs/2112.02467Test

View record in Arxiv

10

تقرير

On the optimization of hyperparameters in Gaussian process regression with the help of low-order high-dimensional model representation

المؤلفون: Manzhos, Sergei, Ihara, Manabu

المصدر: Journal of Mathematical Chemistry, 61, 7-20 (2023)

مصطلحات موضوعية: Statistics - Methodology, Mathematics - Numerical Analysis

الوصول الحر: http://arxiv.org/abs/2112.01374Test

View record in Arxiv

تنقيح النتائج