Song Wang

发表

Prediction by Convolutional Neural Networks of CO 2 /N 2 Selectivity in Porous Carbons from N 2 Adsorption Isotherm at 77 K

S. Dai, D. Jiang, Yi Li, 2020, Angewandte Chemie International Edition.

Construction of a Nanoporous Highly Crystalline Hexagonal Boron Nitride from an Amorphous Precursor for Catalytic Dehydrogenation

M. Chi, S. Dai, Hao Chen, 2019, Angewandte Chemie.

Benchmark CO2 separation achieved by highly fluorinated nanoporous molecular sieve membranes from nonporous precursor via in situ cross-linking

Takeshi Kobayashi, Gongpin Liu, W. Jin, 2021 .

A Transformation Strategy for Highly Crystalline Covalent Triazine Frameworks: from Staggered AB to Eclipsed AA Stacking.

S. Dai, W. Guo, D. Jiang, 2020, Journal of the American Chemical Society.

Influence of fluorination on CO2 adsorption in materials derived from fluorinated covalent triazine framework precursors

S. Dai, Wei Guo, D. Jiang, 2019, Journal of Materials Chemistry A.

Design of Calix-Based Cages for CO2 Capture

S. Dai, Honglai Liu, D. Jiang, 2017 .

Locating Hydrides in Ligand-Protected Copper Nanoclusters by Deep Learning.

D. Jiang, Song Wang, Tongyu Liu, 2021, ACS applied materials & interfaces.

Structural transformation and catalytic hydrogenation activity of amidinate-protected copper hydride clusters

D. Jiang, Quan‐Ming Wang, Shang‐Fu Yuan, 2022, Nature communications.

From Highly Purified Boron Nitride to Boron Nitride‐Based Heterostructures: An Inorganic Precursor‐Based Strategy

S. Dai, Wei Guo, Jiyuan Liang, 2019, Advanced Functional Materials.

Insights into CO2/N2 Selectivity in Porous Carbons from Deep Learning

S. Dai, D. Jiang, Song Wang, 2019, ACS Materials Letters.

Deep Learning Accelerated Determination of Hydride Locations in Metal Nanoclusters.

S. Dai, Zili Wu, D. Jiang, 2021, Angewandte Chemie.

Prediction of CO2/N2 Selectivity in Porous Carbons from N2 Adsorption Isotherm at 77 K via Convolutional Neural Networks.

S. Dai, D. Jiang, Yi Li, 2020, Angewandte Chemie.

Fabrication of Ionic Covalent Triazine Framework-Linked Membranes via a Facile Sol–Gel Approach

D. Jiang, Hao Chen, B. Thapaliya, 2021 .

Surpassing Robeson Upper Limit for CO2/N2 Separation with Fluorinated Carbon Molecular Sieve Membranes

Gongpin Liu, W. Jin, S. Dai, 2020, Chem.

Ion-gated carbon molecular sieve gas separation membranes

S. Dai, H. Meyer, D. Jiang, 2020, Journal of Membrane Science.

A Strategy for Construction of a Nanoporous Highly Crystalline Hexagonal Boron Nitride from an Amorphous Precursor.

M. Chi, S. Dai, Hao Chen, 2019, Angewandte Chemie.

Entropic selectivity in air separation via a bilayer nanoporous graphene membrane.

S. Dai, D. Jiang, Song Wang, 2019, Physical chemistry chemical physics : PCCP.

Structural transformation and catalytic hydrogenation activity of amidinate-protected copper hydride clusters

D. Jiang, Song Wang, Quan‐Ming Wang, 2022, Nature Communications.

Understanding the CO2/CH4/N2 Separation Performance of Nanoporous Amorphous N‐Doped Carbon Combined Hybrid Monte Carlo with Machine Learning

Ziqi Tian, Liang Chen, Song Wang, 2021, Advanced Theory and Simulations.

Continuously Tunable Pore Size for Gas Separation via a Bilayer Nanoporous Graphene Membrane

S. Dai, D. Jiang, Song Wang, 2019, ACS Applied Nano Materials.

Ultrathin Membranes for Gas Separation

S. Dai, D. Jiang, Ziqi Tian, 2020 .

A Study on Contact Fatigue Performance of Nitrided and TiN Coated Gears

Jianjun Hu, Hui Li, Hongbin Xu, 2013 .

A Strategy for Construction of a Nanoporous Highly Crystalline Hexagonal Boron Nitride from an Amorphous Precursor.

M. Chi, S. Dai, Hao Chen, 2019, Angewandte Chemie.

Design of Graphene/Ionic Liquid Composites for Carbon Capture.

S. Dai, D. Jiang, S. Mahurin, 2021, ACS applied materials & interfaces.