E-LIB Suche - Ergebnisse für: Sun, Yangzesheng

1

Understanding and Predicting the Spatially Resolved Adsorpt..:

Sun, Yangzesheng ; Siepmann, J. Ilja
Journal of Chemical Theory and Computation. 20 (2024) 12 - p. 5259-5275 , 2024

Link: https://doi.org/10.1021/..

2

Large-scale molecular dynamics simulations of bubble collap..:

Chen, Jingyi L. ; Prelesnik, Jesse L. ; Liang, Buyun...
The Journal of Chemical Physics. 159 (2023) 22 - p. , 2023

Link: https://doi.org/10.1063/..

3

MOFX-DB: An Online Database of Computational Adsorption Dat..:

Bobbitt, N. Scott ; Shi, Kaihang ; Bucior, Benjamin J....
Journal of Chemical & Engineering Data. 68 (2023) 2 - p. 483-498 , 2023

Link: https://doi.org/10.1021/..

4

Development of a PointNet for Detecting Morphologies of Sel..:

Shen, Zhengyuan ; Sun, Yangzesheng ; Lodge, Timothy P..
The Journal of Physical Chemistry B. 125 (2021) 20 - p. 5275-5284 , 2021

Link: https://doi.org/10.1021/..

5

Fingerprinting diverse nanoporous materials for optimal hyd..:

Sun, Yangzesheng ; DeJaco, Robert F. ; Li, Zhao...
Science Advances. 7 (2021) 30 - p. , 2021

Link: https://doi.org/10.1126/..

6

Multiple linear regression and thermodynamic fluctuations a..:

Rahbari, Ahmadreza ; Josephson, Tyler R. ; Sun, Yangzesheng...
Fluid Phase Equilibria. 523 (2020) - p. 112785 , 2020

Link: https://doi.org/10.1016/..

7

Deep neural network learning of complex binary sorption equ..:

Sun, Yangzesheng ; DeJaco, Robert F. ; Siepmann, J. Ilja
Chemical Science. 10 (2019) 16 - p. 4377-4388 , 2019

Link: https://doi.org/10.1039/..

8

Assessing the Quality of Molecular Simulations for Vapor–Li..:

Eggimann, Becky L. ; Sun, Yangzesheng ; DeJaco, Robert F....
Journal of Chemical & Engineering Data. 65 (2019) 3 - p. 1330-1344 , 2019

Link: https://doi.org/10.1021/..

9

Metal-organic frameworks for precise inclusion of single-st..:

Peng, Shuang ; Bie, Binglin ; Sun, Yangzesheng...
Nature Communications. 9 (2018) 1 - p. , 2018

Link: https://doi.org/10.1038/..

10

Multivariate Metal–Organic Frameworks for Dialing-in the Bi..:

Dong, Zhiyue ; Sun, Yangzesheng ; Chu, Jun..
Journal of the American Chemical Society. 139 (2017) 40 - p. 14209-14216 , 2017

Link: https://doi.org/10.1021/..

11

Fingerprinting diverse nanoporous materials for optimal hyd..:

Sun, Yangzesheng ; DeJaco, Robert F ; Li, Zhao...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294760/. , 2021

Link: http://www.ncbi.nlm.nih...

12

Data for Fingerprinting diverse nanoporous materials for op..:

Sun, Yangzesheng ; DeJaco, Robert F ; Li, Zhao...
Sun, Yangzesheng, DeJaco, Robert F, Li, Zhao, Tang, Dai, Glante, Stephan, Sholl, David S, . . . Siepmann, J. Ilja. (2021). Fingerprinting diverse nanoporous materials for optimal hydrogen storage conditions using meta-learning. Science Advances, 7(30), Science advances, 2021-07-01, Vol.7 (30).. , 2021

Link: https://hdl.handle.net/1..

13

Supporting Data for "Development of a PointNet for Detectin..:

Shen, Zhengyuan ; Sun, Yangzesheng ; Lodge, Timothy P.
Github source code. , 2021

Link: https://hdl.handle.net/1..

14

Metal-organic frameworks for precise inclusion of single-st..:

Shuang Peng ; Binglin Bie ; Yangzesheng Sun...
https://doi.org/10.1038/s41467-018-03650-w. , 2018

Link: https://doi.org/10.1038/..

15

MOFX-DB: An Online Database of Computational Adsorption Dat..:

N. Scott Bobbitt (3358622) ; Kaihang Shi (1558654) ; Benjamin J. Bucior (7106849)...
https://figshare.com/articles/journal_contribution/MOFX-DB_An_Online_Database_of_Computational_Adsorption_Data_for_Nanoporous_Materials/21817636. , 2023

Link: https://doi.org/10.1021/..