Research output per year
Research output per year
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Dive into the research topics where Jinchao Xu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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An efficient iterative method for dynamical Ginzburg-Landau equations
Hong, Q., Ma, L., Xu, J. & Chen, L., Feb 1 2023, In: Journal of Computational Physics. 474Research output: Contribution to journal › Article › peer-review
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Integral boundary conditions in phase field models[Formula presented]
Xu, X., Zhang, L., Shi, Y., Chen, L. Q. & Xu, J., Apr 1 2023, In: Computers and Mathematics with Applications. 135, p. 1-5 5 p.Research output: Contribution to journal › Article › peer-review
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AN EXTENDED GALERKIN ANALYSIS IN FINITE ELEMENT EXTERIOR CALCULUS
Hong, Q., Li, Y. & Xu, J., Jan 1 2022, In: Mathematics of Computation. 91, 335, p. 1077-1106 30 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Approximation properties of deep ReLU CNNs
He, J., Li, L. & Xu, J., Sep 1 2022, In: Research in Mathematical Sciences. 9, 3Research output: Contribution to journal › Article › peer-review
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Block triangular preconditioning for stochastic Galerkin method
Wang, D., Zheng, B., Chen, L., Lin, G. & Xu, J., Oct 1 2022, In: Journal of Computational and Applied Mathematics. 412Research output: Contribution to journal › Article › peer-review
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CNNs with Compact Activation Function
Wang, J., Xu, J. & Zhu, J., Jan 1 2022, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, p. 319-327 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Extensible Structure-Informed Prediction of Formation Energy with improved accuracy and usability employing neural networks
Krajewski, A. M., Siegel, J. W., Xu, J. & Liu, Z. K., Jun 1 2022, In: Computational Materials Science. 208Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
High-order approximation rates for shallow neural networks with cosine and ReLUk activation functions
Siegel, J. W. & Xu, J., May 1 2022, In: Applied and Computational Harmonic Analysis. 58, p. 1-26 26 p.Research output: Contribution to journal › Article › peer-review
8 Scopus citations
Press/Media
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THINGS TO DO AT PENN STATE: FEB. 10-17 A SELECTION OF CULTURAL EVENTS HAPPENING AT THE UNIVERSITY THIS WEEKEND AND NEXT WEEK
02/8/22
1 item of Media coverage
Press/Media: Press / Media
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'Using AI to Improve Patient-Provider Communication' to be presented Feb. 5
02/1/22
1 item of Media coverage
Press/Media: Press / Media
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‘Machine Learning for Weather Prediction’: A free public lecture on Jan. 22
01/20/22
1 item of Media coverage
Press/Media: Press / Media
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EIGHT PENN STATE FACULTY TEAMS AWARDED SEED GRANTS FOR AI RESEARCH
10/16/20
1 item of Media coverage
Press/Media: Press / Media
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2019 AAAS Fellows approved by the AAAS Council
11/28/19
1 item of Media coverage
Press/Media: Press / Media
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AAAS Announces Leading Scientists Elected as 2019 Fellows
11/26/19 → 11/27/19
2 items of Media coverage
Press/Media: Press / Media
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AAAS ANNOUNCES LEADING SCIENTISTS ELECTED AS 2019 FELLOWS
11/26/19
1 item of Media coverage
Press/Media: Press / Media