关键词:机器学习·CO_(2)还原·Cu基催化剂Y.Guo,X.R.He,Y.M.Su,Y.H.Dai,M.C.Xie,S.L.Yang,J.W.Chen,K.Wang,D.Zhou,C.Wang,Machine-Learning-Guided Discovery and Optimization of Additives in Preparing Cu Catalysts for C...关键词:机器学习·CO_(2)还原·Cu基催化剂Y.Guo,X.R.He,Y.M.Su,Y.H.Dai,M.C.Xie,S.L.Yang,J.W.Chen,K.Wang,D.Zhou,C.Wang,Machine-Learning-Guided Discovery and Optimization of Additives in Preparing Cu Catalysts for CO2 Reduction,J.Am.Chem.Soc.,2021,143(15):5755-5762.厦门大学汪骋教授与周达副教授通过“实验测试→机器学习分析→预测和重新设计”三个迭代周期,发现含脂肪族羟基的分子添加剂可调控催化剂前驱体中Cu_(2)O立方体的形成,提高C_(2+)产物的法拉第效率,获得了对CO、HCOOH和C^(2+)产物具有高选择性的CO_(2)还原铜基催化剂。展开更多
Aim To investigate the periodic boundary value problem for functional differential equations with impulses. Methods The method of upper and lower solutions and the monotone iterative technique were used to establish...Aim To investigate the periodic boundary value problem for functional differential equations with impulses. Methods The method of upper and lower solutions and the monotone iterative technique were used to establish our results. Results and Conclusion The results of the existence of maximal and minimal solutions of the periodic boundary value problem for functional differential equations with impulses are obtained.展开更多
文摘关键词:机器学习·CO_(2)还原·Cu基催化剂Y.Guo,X.R.He,Y.M.Su,Y.H.Dai,M.C.Xie,S.L.Yang,J.W.Chen,K.Wang,D.Zhou,C.Wang,Machine-Learning-Guided Discovery and Optimization of Additives in Preparing Cu Catalysts for CO2 Reduction,J.Am.Chem.Soc.,2021,143(15):5755-5762.厦门大学汪骋教授与周达副教授通过“实验测试→机器学习分析→预测和重新设计”三个迭代周期,发现含脂肪族羟基的分子添加剂可调控催化剂前驱体中Cu_(2)O立方体的形成,提高C_(2+)产物的法拉第效率,获得了对CO、HCOOH和C^(2+)产物具有高选择性的CO_(2)还原铜基催化剂。
文摘Aim To investigate the periodic boundary value problem for functional differential equations with impulses. Methods The method of upper and lower solutions and the monotone iterative technique were used to establish our results. Results and Conclusion The results of the existence of maximal and minimal solutions of the periodic boundary value problem for functional differential equations with impulses are obtained.
