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Path sampling methods for high throughput mechanistic hypothesis testing

来源:
报告题目   Path sampling methods for high throughput mechanistic hypothesis testing
报告人   Prof. Baron Peters
报告人单位   University of California, Santa Barbabra & University of Science & Technology of China(sabbatical stay)
报告时间   2013-09-11
报告地点   合肥微尺度物质科学国家实验室九楼会议室
主办单位   合肥微尺度物质科学国家实验室、国际功能材料量子设计中心
报告介绍
Biography:
  Baron Peters received his Doctorate in Chemical Engineering (Ph.D.) from the University of California, Berkeley in 2004 under the instruction of Arup Chakraborty and Alexis T. Bell. He pursued postdoctoral studies under Bernhardt L. Trout at the Massachusetts Institute of Technology and also under Berend Smit in the CECAM at the Ecole Normale Superieure in Lyon, France. Baron joined the faculty at UCSB in 2008. He earned a Camille Dreyfus Teacher-Scholar Award in 2013.

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