Automated Author Profile

Fang, Huang

Current S-Index

3.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

7

Total datasets for this author

Average FAIR Score

14.3%

Average FAIR Score per dataset

Total Citations

3

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Raw dataset for the research article "Dynamic and asymmetric colloidal molecules"

These are the raw datasets for the research article "Dynamic and asymmetric colloidal molecules". "Experimental snapshots" shows the confocal images of for colloidal molecules with different valences. "Evolution trajectory" contains the xyzt coordinates that characterize the evolution of dynamic colloidal molecules. "Monte Carlo Snapshots" contains the snapshots of colloidal molecules under Monte Carlo sampling. "HOOMD_changing_Kappa" contains the simulation trajectories of colloidal molecules assembling under Langevin dynamics.

Authors

  • Fang, Huang ;
  • Gao, Qiong ;
  • Rong, Yujie ;
  • Chen, Yanshuang ;
  • Huang, Jiping ;
  • Tong, Hua ;
  • Nie, Zhihong ;
  • Tanaka, Hajime ;
  • Li, Wei ;
  • Tan, Peng
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.6084/m9.figshare.28489979January 2025

Raw dataset for the research article "Dynamic and asymmetric colloidal molecules"

These are the raw datasets for the research article "Dynamic and asymmetric colloidal molecules". "Experimental snapshots" shows the confocal images of for colloidal molecules with different valences. "Evolution trajectory" contains the xyzt coordinates that characterize the evolution of dynamic colloidal molecules. "Monte Carlo Snapshots" contains the snapshots of colloidal molecules under Monte Carlo sampling. "HOOMD_changing_Kappa" contains the simulation trajectories of colloidal molecules assembling under Langevin dynamics.

Authors

  • Fang, Huang ;
  • Gao, Qiong ;
  • Rong, Yujie ;
  • Chen, Yanshuang ;
  • Huang, Jiping ;
  • Tong, Hua ;
  • Nie, Zhihong ;
  • Tanaka, Hajime ;
  • Li, Wei ;
  • Tan, Peng
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.28489979.v1January 2025

Codes for the research article "A universal dual-symmetry principle for assembling complex lattices from simple interactions"

Experiments (Demo included):
"Feature&Force" live manuscript read experimental images, track the motion of particles, compute the pair correlation function, and measure the forces generated by the optical trap.Detailed illustrations are included. “.dat”records the trajectory of particles around the optical trap.
Simulations (Demo included):
The initial states of molecular dynamics simulations is generated by the MATLAB script "main.m".Each section of "main.m" corresponds to different Archimedean lattice motif. You can modify "repeating period" and "substrate points" to select the sublattice."repeating period" is a two-element array [Nx, Ny] specifying the size of the unit cell of the sublattice.This unit cell of lattice repeats the original unit cell of the Archmedean lattice Nx times in the first lattice vector direction and Ny times in the second lattice vector."substrate points" is a cell array with dimension Nx
Ny, each element of this cell contains an array with the index of particles selected in the original unit cell.The initial state is generated as "Lattice.data". Example of "Lattice.data" shows a way of selection of (3^3.4^2)The LAMMPS script "in.DSG" runs the simulation with the initial state "Lattice.data".The interaction strength of trap can be modified through the Gaussian pair potential between particle type 1 and type 2.The interaction strength between particles can be modified through the Yukawa pair potential between particle type 2.After running in.DSG, the trajectory of the simulation is saved in the files "LAMMPS.*".

Authors

  • Fang, Huang
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.6084/m9.figshare.30038791January 2025

Codes for the research article "A universal dual-symmetry principle for assembling complex lattices from simple interactions"

Experiments (Demo included):
"Feature&Force" live manuscript read experimental images, track the motion of particles, compute the pair correlation function, and measure the forces generated by the optical trap.Detailed illustrations are included. “.dat”records the trajectory of particles around the optical trap.
Simulations (Demo included):
The initial states of molecular dynamics simulations is generated by the MATLAB script "main.m".Each section of "main.m" corresponds to different Archimedean lattice motif. You can modify "repeating period" and "substrate points" to select the sublattice."repeating period" is a two-element array [Nx, Ny] specifying the size of the unit cell of the sublattice.This unit cell of lattice repeats the original unit cell of the Archmedean lattice Nx times in the first lattice vector direction and Ny times in the second lattice vector."substrate points" is a cell array with dimension Nx
Ny, each element of this cell contains an array with the index of particles selected in the original unit cell.The initial state is generated as "Lattice.data". Example of "Lattice.data" shows a way of selection of (3^3.4^2)The LAMMPS script "in.DSG" runs the simulation with the initial state "Lattice.data".The interaction strength of trap can be modified through the Gaussian pair potential between particle type 1 and type 2.The interaction strength between particles can be modified through the Yukawa pair potential between particle type 2.After running in.DSG, the trajectory of the simulation is saved in the files "LAMMPS.*".

Authors

  • Fang, Huang
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.30038791.v1January 2025

CCDC 1583797: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Liu, Fei ;
  • Fang, Huang ;
  • Zhang, Fang ;
  • Chen, Qifan
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.5517/ccdc.csd.cc1q5276January 2018

CCDC 903227: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Meng, Mei ;
  • Fang, Huang ;
  • Chen, Gang
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.5517/ccz9wchJanuary 2012

CCDC 888854: Experimental Crystal Structure Determination

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Authors

  • Fang, Huang ;
  • Feng, Zhang ;
  • Hongmei, Xu
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.5517/ccytxqcJanuary 2012