王仁海，广东工业大学物理与光电工程学院硕士生导师，主要从事新材料结构预测与设计研究。2021年于中国科学技术大学获凝聚态物理博士学位，其中2016-2020于美国埃姆斯国家实验室联合培养。2021年5月至2023年5月，于广东工业大学与埃姆斯实验室做联合培养博士后。2023年6月起，在广东工业大学物理与光电工程学院工作。主持国家自然科学青年基金、广东省自然科学基金等项目，在Physical Review B、npj Computational Materials、Inorganic Chemistry等期刊发表SCI论文30余篇。开发了机器学习辅助自适应遗传算法（ML+AGA）和电声耦合高通量计算方法，成功预测多个新型超导、磁性及电极材料，部分成果已获实验验证。

1.国家自然科学基金委员会, 青年科学基金项目（C类）, 12504069, 基于电声耦合与自旋涨落协同机制的三元金属硼化物超导体高通量预测, 2026-01-01至2028-12-31，30万元，在研，主持 2.广东省基础与应用基础研究基金委员会，区域联合基金-青年基金项目，2021A1515110328，碱金属镍硼化物的结构预测与性能计算，2021-10至2024-09，10万元，结题，主持 3.广东省基础与应用基础研究基金委员会，广东省自然科学基金-面上项目，2022A1515012174，三元锂-3d过渡金属硼化物的晶体结构预测，2022-01至2024-12，10万元，结题，主持 4.广东省财政厅，广东省青年优秀科研人才国际培养计划博士后项目，非六方二维硼化物超导体的晶体结构预测，2022-03至2023-03，40万元，结题，主持 国家自然科学基金委员会, 面上项目, 12074362, 固体氧化物电解池阴极反应动力学与多物理场建模仿真, 2021-01-01至2024-12-31，63万元，结题，参与

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《量子力学》、《数学物理方法》、《计算物理》

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