OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension
Sergei Manzhos, Manabu Ihara
The Journal of Chemical Physics (2024) Vol. 160, Iss. 2
Open Access | Times Cited: 5
Sergei Manzhos, Manabu Ihara
The Journal of Chemical Physics (2024) Vol. 160, Iss. 2
Open Access | Times Cited: 5
Showing 5 citing articles:
Quantum Monte Carlo Simulations of the Vibrational Wavefunction of the Aromatic Cyclo[10]carbon Using a Full Dimensional Permutationally Invariant Potential Energy Surface
Benjamin D. Gibbas, Martina Kaledin, Alexey L. Kaledin
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 19, pp. 5070-5075
Open Access | Times Cited: 1
Benjamin D. Gibbas, Martina Kaledin, Alexey L. Kaledin
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 19, pp. 5070-5075
Open Access | Times Cited: 1
Computational Investigation of the Potential and Limitations of Machine Learning with Neural Network Circuits Based on Synaptic Transistors
Sergei Manzhos, Qun‐Gao Chen, Wen‐Ya Lee, et al.
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 27, pp. 6974-6985
Open Access | Times Cited: 1
Sergei Manzhos, Qun‐Gao Chen, Wen‐Ya Lee, et al.
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 27, pp. 6974-6985
Open Access | Times Cited: 1
Comparison of Different Types of Machine Learning Methods for Short-Term Prediction of Electricity Demand in a Small-Scale Distributed Energy System from High Dimensional Data
Hyojae Lee, Shunsaku Tsuda, Keisuke Kameda, et al.
(2024)
Closed Access
Hyojae Lee, Shunsaku Tsuda, Keisuke Kameda, et al.
(2024)
Closed Access
Machine learning the screening factor in the soft bond valence approach for rapid crystal structure estimation
Keisuke Kameda, Takaaki Ariga, Kazuma Ito, et al.
Digital Discovery (2024)
Open Access
Keisuke Kameda, Takaaki Ariga, Kazuma Ito, et al.
Digital Discovery (2024)
Open Access
A Low-Order Permutationally Invariant Polynomial Approach to Learning Potential Energy Surfaces Using the Bond-Order Charge-Density Matrix: Application to Cn Clusters for n = 3–10, 20
Jose Gutierrez-Cardenas, Benjamin D. Gibbas, K. P. K. Whitaker, et al.
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 36, pp. 7703-7713
Open Access
Jose Gutierrez-Cardenas, Benjamin D. Gibbas, K. P. K. Whitaker, et al.
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 36, pp. 7703-7713
Open Access
