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Yang Ge1, Xueping Wang1, Qiang Zhu1

  • 1Key Laboratory of Mesoscopic Chemistry of Ministry of Education, Institute of Theoretical and Computational Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China.

概括

一种机器学习方法创建了一个混合原子和粗粒模型来预测的自我组装. 这种方法显著降低了计算成本,并准确地模拟了离子液体度如何影响甲纳米结构的形成.