黄尧
副教授，硕士生导师
地址：北京化工大学机械楼313
电子邮件：hy06@163.com
联系电话：13699284309
黄尧，副教授，硕士生导师，高分子材料加工装备教育部工程研究中心主任助理，2015年博士毕业于北京化工大学，曾在日本千叶大学和英国华威大学做访问学者交流。研究方向为柔性传感技术、人工肌肉、柔性机电转换器件设计。作为项目负责人承担国家自然基金项目1项、国家博士后基金1项。曾获中国轻工业联合会科技进步二等奖一项。相关研究结果已发表在Composites Part A、Composites Science and Technology、Journal of Materials Chemistry C等期刊上，发表论文40余篇，其中TOP论文8篇。上述相关论文得到国内外同行的300余次引用和正面评价。并且成功获得1项PCT美国发明授权（16483938），4项国家发明专利授权（ZL201710051729.5；ZL201710070455.4；ZL201510552556.6；ZL201710047991.2）。
代表性文章情况如下：
编号 | 发表论文 | 收录 | 他引 次数 |
1 | Spatial Confining Forced Network Assembly for preparation of high-performance conductive polymeric composites[J], Composites Part A-Applied Science & Manufacturing, 2017, 102: 88-95.（TOP） | SCI EI | 14 |
2 | An Anchoring Array Assembly Method for Enhancing the Electrical Conductivity of Composites of Polypropylene and Hybrid Fillers[J]. Composites Science and Technology, 2021,211:108846.（TOP） | SCI 刊源 | 0 |
3 | Compression-induced electrical percolation and enhanced mechanical properties of polydimethylsiloxane-based nanocomposites[J]. Journal of Materials Science, 2020, 55(24): 10611-10625.（TOP） | SCI EI | 0 |
4 | Tailoring the electrical and thermal conductivity of multi-component and multi-phase polymer composites[J]. International Materials Reviews, 2020,:65(3):129-163.（TOP，影响因子21.1） | SCI EI | 31 |
5 | A mathematical model for predicting conductivity of polymer composites with a forced assembly network obtained by SCFNA method[J]. Polymer Composites, 2019,40(5): 1819-1827. | SCI EI | 10 |
6 | Enhancing thermal conductivity of polydimethylsiloxane composites through spatially confined network of hybrid fillers[J]. Composites Science and Technology, 2019, 172(MAR.1):163-171.（TOP） | SCI EI | 16 |
7 | Enhancing thermal conductivity via conductive network conversion from high to low thermal dissipation in the polydimethylsiloxane composites[J], Journal of Materials Chemistry C, 2020, 8(10): 3463-3475.（TOP） | SCI EI | 30 |
8 | Improved thermal conductivity of polydimethylsiloxane/short carbon fiber composites prepared by spatial confining forced network assembly[J], Journal of Materials Science, 2018, 53(20): 14299-14310.（TOP） | SCI EI | 22 |
9 | Optimal analysis for thermal conductivity variation of EVA/SCF composites prepared by spatial confining forced network assembly[J]. Materials Today Communications, 2020, 25:101206. | SCI EI | 6 |
10 | Conductive Polymer Composites from Renewable Resources: An Overview of Preparation, Properties, and Applications[J]. Polymers, 2019, 11(2): 187. | SCI EI | 27 |
11 | Injection-Compression-Compression Process for Preparation of High-Performance Conductive Polymeric Composites[J]. Applied Composite Materials, 2019, 26(4):1139-1150. | SCI EI | 2 |
12 | Polydimethylsiloxane/aluminum oxide composites prepared by spatial confining forced network assembly for heat conduction and dissipation[J]. RSC Advances, 2018, 8(63):36007-36014. | SCI EI | 4 |
13 | Mechanically Enhanced Electrical Conductivity of Polydimethylsiloxane-Based Composites by a Hot Embossing Process[J]. Polymers, 2019, 11(1):56. | SCI EI | 4 |
14 | Wideband Metamaterial Absorbers Based on Conductive Plastic with Additive Manufacturing Technology[J]. ACS Omega, 2018, 3(9):11144-11150. | SCI | 8 |
15 | Improved electrical conductivity of PDMS/SCF composite sheets with bolting cloth prepared by a spatial confining forced network assembly method, RSC Advances, 2017, 7(24): 14761-14768. | SCI EI | 6 |
16 | Study of mapping relationship between surface micro–defect and haze of polycarbonate plate[J]. International Journal of Simulation and Process Modelling, 2015, 10(1):39-44. | EI | 1 |
17 | Artificial environment and the structure of gradient soft matter[J]. Chemical Physics Letters, 2013, 588(1):114-118. | SCI EI | 0 |
18 | 基于空间限域强制组装法制备短切碳纤维/乙烯-醋酸乙烯导电复合材料性能[J]. 复合材料学报, 2020,37(6): 1234-1242. | CNKI EI | 0 |
19 | 基于空间限域强制组装法制备短切碳纤维-碳纳米管/聚二甲基硅氧烷导电复合材料性能[J].复合材料学报, 2019, 36(11):2552-2560. | CNKI EI | 2 |
20 | 空间限域强制组装法制备筛网-PP/CF导电复合材料[J].塑料, 2018,47(04):99-102+116. | CNKI | 2 |
21 | 强制组装法制备碳纤维导热复合材料及其性能[J]. 塑料, 2017,46(06):1-4+8. | CNKI | 4 |
合计 | 189 | ||