Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Fuchang Gao"'
Publikováno v:
IEEE Access, Vol 10, Pp 62440-62449 (2022)
Accurate prediction of physical properties is critical for discovering and designing novel materials. Machine learning technologies have attracted significant attention in the materials science community for their potential for large-scale screening.
Externí odkaz:
https://doaj.org/article/5967204cbeda4d928cd16293c402e6ec
Publikováno v:
SN Computer Science. 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e819e443339aadcd65f765eb97b43431
https://doi.org/10.1007/s42979-022-01370-z
https://doi.org/10.1007/s42979-022-01370-z
Publikováno v:
Neural Netw
Multi-dimensional tensor data appear in diverse settings, including multichannel signals, spectrograms, and hyperspectral data from remote sensing. In many cases, these data are directionally correlated, i.e. the correlation between variables from di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9b4cdc898f280ab515df64fa4a79437
https://europepmc.org/articles/PMC10112384/
https://europepmc.org/articles/PMC10112384/
Publikováno v:
Proceedings of the Combustion Institute. 38:6503-6511
In this paper, flame spray pyrolysis (FSP) is used to synthesize Pt/TiO2 catalysts with surface-supported isolated Pt atoms through elaborate precursor/solvent formulation and flame temperature history control. It is a pivotal factor to this FSP proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cdccb5828b64f24b3e3f8315e27d5e1
https://doi.org/10.1016/j.proci.2020.06.330
https://doi.org/10.1016/j.proci.2020.06.330
Autor:
Fuchang Gao
Publikováno v:
Encyclopedia of Mathematical Geosciences ISBN: 9783030260507
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e16e5471ab6e8536f6d5d6ae59a6e830
https://doi.org/10.1007/978-3-030-26050-7_82-1
https://doi.org/10.1007/978-3-030-26050-7_82-1
Autor:
Fuchang Gao, James Cockreham
Publikováno v:
Constructive Approximation. 47:357-371
Sharp metric entropy estimates under Hausdorff distance are obtained for classes of bounded sets with positive reach, extending a well-known result of Bronshtein for the class of bounded convex sets.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be9d1257add4d745e7f0132ba5c4196e
https://doi.org/10.1007/s00365-017-9388-0
https://doi.org/10.1007/s00365-017-9388-0
Autor:
Fuchang Gao, Jon A. Wellner
Publikováno v:
Constructive Approximation. 46:565-592
Let $$\varOmega $$ be a bounded closed convex set in $$\mathbb {R}^d$$ with nonempty interior, and let $${\mathcal C}_r(\varOmega )$$ be the class of convex functions on $$\varOmega $$ with $$L^r$$ -norm bounded by 1. We obtain sharp estimates of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db6e3b165692ee1c581489422efcb212
https://doi.org/10.1007/s00365-017-9387-1
https://doi.org/10.1007/s00365-017-9387-1
Publikováno v:
Proceedings of the American Mathematical Society. 145:5205-5214
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20bbb5744ed36e82178946c0fa7e4aa3
https://doi.org/10.1090/proc/13627
https://doi.org/10.1090/proc/13627
Autor:
Fuchang Gao, Xiaohong Chen
Publikováno v:
Statistics & Probability Letters. 123:84-87
Let γ denote any centered Gaussian measure on R d . It is proved that for any closed convex sets A and B in R d , and any closed convex cones C and D in R d , if D ⊇ C ∘ , where C ∘ is the polar cone of C , then γ ( ( A + C ) ∩ ( B + D ) )
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa978fd63fb096e2cfd60865514fe83d
https://doi.org/10.1016/j.spl.2016.11.031
https://doi.org/10.1016/j.spl.2016.11.031
Autor:
Fuchang Gao
Publikováno v:
Progress in Probability ISBN: 9783030263904
High Dimens Probab
High Dimens Probab
It is proved that a continuous function f on \(\mathbb {R}^n\) is negative definite if and only if it is polynomially bounded and satisfies the inequality \(\mathbb {E} f(X-Y)\le \mathbb {E} f(X+Y)\) for all i.i.d. random vectors X and Y in \(\mathbb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0877ec9b3b59189ca0984528b4bb2d9e
https://doi.org/10.1007/978-3-030-26391-1_5
https://doi.org/10.1007/978-3-030-26391-1_5