一:个人基本信息
白永康,男,汉族,1987年出生,博士,中共党员,副教授,硕士生导师。博士毕业于中科院兰州化学物理研究所,师从王齐华研究员。主要从事新型功能高分子材料的设计与应用研究。作为项目负责人先后承担了国家自然科学基金、陕西省自然科学基金等项目7项,已在国内外学术期刊上发表论文70余篇,以第一作者或通讯作者发表SCI论文30篇,总引用2700余次,H指数29,申请或授权国家发明专利12件。曾获得全国仿真创新应用大赛全国总决赛一等奖、陕西省科技工作者创新创业大赛三等奖等奖项。担任国际学术期刊《Chinese Chemical Letters》青年编委。
二:主要研究方向
1.形状记忆高分子材料的设计与多功能应用研究
2.柔性传感器的设计及其在可穿戴器件中的应用
3.医用纺织材料的设计与应用研究
每年招收具有化学、材料背景的研究生,请将您的简历发送至yongkangbai@sina.com,我们将尽快与您联系。
三:主持的科研项目
1.国家自然科学基金青年项目,基于离子交联作用构筑光控可重塑形状记忆离聚物及其响应机制研究
2.西安工程大学青年拔尖项目,驱动与传感一体化材料的设计与集成机制研究
3.陕西省自然科学基金青年项目,透明质酸基形状记忆多孔支架材料的研制
4.空军军医大学交叉融合专项,自供电生理传感器的设计与应用研究
5.中国博士后科学基金面上项目,纤维素基多响应形状记忆聚合物的结构设计与性能研究
6.陕西省博士后科研项目,光热双响应形状记忆多孔材料的构建与研究
7.青岛大学国家重点实验室开放课题项目,醋酸纤维素基多响应形状记忆多孔支架的设计及其记忆机理研究
四:近期代表性研究成果
1. Bai, Y., et al., Novel multifunctional composite ionogels for smart actuation, underwater sensing, and self-powered Braille communication systems. Composites Part B: Engineering, 2026. 309: 113058-113069.
2. Bai, Y., et al., Ferric tannate-functionalized hierarchical porous materials for hemostatic antibacterial non-compressible bleeding. Materials Chemistry Frontiers, 2026. 6:1973-1981.
3. Bai, Y., et al., Fatigue-resistant, self-healing and antibacterial poly(ionic liquid) gel multichannel sensors for underwater early warning and deep learning-assisted infant monitoring. Chemical Engineering Journal, 2025. 526: 170881-170893.
4. Bai, Y., et al., Multifunctional composite ionogel-based sensors for chronic disease surveillance and health monitoring. Composites Part B: Engineering, 2025. 299: p112450-112461.
5. Bai, Y., et al., Light-responsive shape memory actuators with integrated self-powered sensing function based on polyvinylidene fluoride composites. European Polymer Journal, 2024. 220: 113458-113467.
6. Bai, Y., et al., Versatile ionogels with tailoring performance for strain sensors, temperature alarm and self-powered wearable devices. Chemical Engineering Journal, 2024. 488: 150982-150991.
7. Bai, Y., et al., Electrospun cellulose acetate nanofibrous composites for multi-responsive shape memory actuators and self-powered pressure sensors. Carbohydrate Polymers, 2023. 313: 120868-120876.
8. Bai, Y., et al., Multi-responsive shape memory porous composites for self-powered sensors and self-sensing actuators. Chemical Engineering Journal, 2023. 477: 147059-147070.
9. Bai, Y. and L. Ionov, A thermo-, near-infrared light- and water-induced shape memory polymer with healing fatigued shape memory performance. Materials Chemistry Frontiers, 2022. 6: 1218-1227.
10. Bai, Y., et al., A novel smart composite: from self-powered sensors to multi-responsive shape memory actuators. Journal of Materials Chemistry A, 2022. 10(41): 22205-22213.
11. Bai, Y., et al., Thermo-and near infrared light-induced reversible multi-shape memory material for actuators and sensors. Materials Chemistry Frontiers, 2022. 6: 1973-1981.