维普期刊资源整合服务平台（V6.5）

维普中文期刊产品整合服务

1篇 您的检索式：作者名="Michae L.Kalin"

选中清除导出查看参考文献查看引证文献引用追踪共1页首页上一页第1页下一页末页 /1 跳转

		题名	作者	年代	出处	被引量
	1	Kinetic network models to elucidate aggregation dynamics of aggregation-induced emission systems显示文摘Aggregation-induced emission(AIE)is a phenomenon where a molecule that is weakly or non-luminescent in a diluted solution becomes highly emissive when aggregated.AIE luminogens(AIEgens)hold promise in diverse applications like bioimaging,chemical sensing,and optoelectronics.Investigation in AIE luminescence is also critical for understanding aggregation kinetics as the aggregation process is an essential component of AIE emission.Experimental investigation of AIEgen aggregation is challenging due to the fast timescale of the aggregation and the amorphous aggregate structures.Computer simulations such as molecular dynamics(MD)simulation provide a valuable approach to complement experiments with atomic-level knowledge to study the fast dynamics of aggregation processes.However,individual simulations still struggle to systematically elucidate heterogeneous kinetics of the formation of amorphous AIEgen aggregates.Kinetic network models(KNMs),constructed from an ensemble of MD simulations,hold great potential in addressing this challenge.In these models,dynamic processes are modeled as a series ofMarkovian transitions occurring among metastable conformational states at discrete time intervals.In this perspective article,we first review previous studies to characterize the AIEgen aggregation kinetics and their limitations.We then introduce KNMs as a promising approach to elucidate the complex kinetics of aggregations to address these limitations.More importantly,we discuss our perspective on linking the output of KNMs to experimental observations of time-resolved AIE luminescence.We expect that this approach can validate the computational predictions and provide great insights into the aggregation kinetics for AIEgen aggregates.These insights will facilitate the rational design of improved AIEgens in their applications in biology and materials sciences.	Zige Liu Michae L.Kalin Bojun Liu Siqin Cao Xuhui Huang	2024	Aggregate2024，5，1：	0

返回顶部每页显示：

共1页首页上一页第1页下一页末页 /1 跳转

goolge学术搜索-维普

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费