Professor Department of Chemical Engineering Princeton University
报告时间:
2010-05-12 10:00
报告地点:
化学工程系（工物馆324东会议室）
主办单位:
化学工程系
简介:
Abstract: Mathematical modeling, optimization theory and algorithms represent fundamental components of novel computational approaches for the discovery of new molecules, de novo design of therapeutic peptides and proteins, rational selection of zeolites for separation and catalysis, and design, operation and synthesis of process systems. The lecture will focus on discovery advances that emanate from system engineering thinking and span multiple scales driven from biology, chemistry and physics insights at the microscopic/mesoscopic level to process operations decision making at the macroscopic level. The first part will present advances and opportunities in de novo protein design with rigid and flexible backbone structures. The second part will introduce a predictive approach for the selection of zeolite portals for shape selective separation of molecular compounds and discuss challenges and opportunities. The third part will discuss advances in short and medium-term scheduling and highlight their potential in the chemical industry. The lecture will conclude with personal views on systems engineering emerging as a cornerstone interdisciplinary area of chemical engineering, computer science, materials and life sciences. Discovery through Systems Engineering Thinking 报 告 人： Professor Christodoulos A. Floudas Department of Chemical Engineering Princeton University 。
