molybdenum disulfide has been researched along with cellulose in 5 studies
Timeframe | Studies, this research(%) | All Research% |
---|---|---|
pre-1990 | 0 (0.00) | 18.7374 |
1990's | 0 (0.00) | 18.2507 |
2000's | 0 (0.00) | 29.6817 |
2010's | 2 (40.00) | 24.3611 |
2020's | 3 (60.00) | 2.80 |
Authors | Studies |
---|---|
Huang, Y; Lai, F; Liu, T; Miao, YE; Zhang, Y | 1 |
Chen, Y; Meng, Y; Sun, T; Wang, H; Wen, F; Zhang, Y | 1 |
Sharma, M; Tavker, N | 1 |
Guo, Y; Liu, X; Zhang, K; Zhang, W; Zhuang, Y | 1 |
Chen, X; Liu, W; Luan, H; Yan, W; Yang, C; Zhang, D | 1 |
5 other study(ies) available for molybdenum disulfide and cellulose
Article | Year |
---|---|
Nitrogen-Doped Carbon Nanofiber/Molybdenum Disulfide Nanocomposites Derived from Bacterial Cellulose for High-Efficiency Electrocatalytic Hydrogen Evolution Reaction.
Topics: Bacteria; Carbon; Cellulose; Disulfides; Electrochemical Techniques; Hydrogen; Molybdenum; Nanocomposites; Nanofibers | 2016 |
Electrocatalytic determination of nitrite based on straw cellulose/molybdenum sulfide nanocomposite.
Topics: Cellulose; Cyclic N-Oxides; Disulfides; Drinking Water; Electrochemical Techniques; Electrodes; Limit of Detection; Molybdenum; Nanocomposites; Nitrites; Oxidation-Reduction; Rivers; Water; Water Pollutants, Chemical | 2016 |
Designing of waste fruit peels extracted cellulose supported molybdenum sulfide nanostructures for photocatalytic degradation of RhB dye and industrial effluent.
Topics: Cellulose; Disulfides; Fruit; Molybdenum; Nanostructures | 2020 |
Functionalized MoS
Topics: Administration, Cutaneous; Animals; Atenolol; Cellulose; Chemistry, Pharmaceutical; Disulfides; Dose-Response Relationship, Drug; Drug Delivery Systems; Drug Liberation; Hydrogen-Ion Concentration; Male; Microscopy, Electron, Transmission; Molybdenum; Nanoparticles; Rats; Rats, Wistar; Spectroscopy, Fourier Transform Infrared; X-Ray Diffraction | 2020 |
Flexible Pressure Sensors Based on Molybdenum Disulfide/Hydroxyethyl Cellulose/Polyurethane Sponge for Motion Detection and Speech Recognition Using Machine Learning.
Topics: Cellulose; Humans; Molybdenum; Polyurethanes; Pressure; Speech; Speech Perception | 2023 |