REU Site: Computational Science Training at Marshall University for Undergraduates in the Mathematical and Physical Sciences

在2010年至2012年的夏天，数学，物理和化学系在马歇尔大学将共同主办12名学生在计算科学的教学和研究十周。每个学生将扩展他或她的导师的研究的一个精心选择和界定的方面。研究领域包括：1）β-复合统计分布的表征; 2）灰度图像的计算机视觉; 3）广义相对论的可视化; 4）货车德瓦尔斯相互作用的势能面; 5）零压力极限下的离子-分子络合; 6）树状网络上伊辛模型的亚稳态衰变动力学。除了在特定领域进行研究外，学生还将学习计算科学所有领域常见的实践和问题。他们还将接受相当于一个学期的科学家和工程师道德课程。专家们将从工业和政府服务的应用角度讨论计算科学，以及潜在的职业轨迹。该计划将重点关注西弗吉尼亚州和肯塔基州的EPSCoR州的学生，以及来自历史上黑人学院和大学的学生。学生将在研讨会上展示他们的研究成果，以结束夏季课程，并酌情在专业会议上。学生将从该计划中脱颖而出，具有可以将他们带入研究生学习的技能和信心，以及对使用计算科学的可能职业的认识。

Over the summers of 2010-2012, the Departments of Mathematics, Physics, and Chemistry at Marshall University will jointly host twelve students for ten weeks of instruction and research in computational science. Each student will extend a carefully selected and delimited aspect of his or her mentor's research. Research fields include: 1) the characterization of beta-compounded statistical distributions; 2) computer vision with gray-scale images; 3) visualizations of general relativity; 4) potential energy surfaces for van der Waals interactions; 5) ion-molecule complexation in the zero pressure limit; and 6) the dynamics of metastable decay for the Ising model on tree-like networks. In addition to performing research in a specific area, students will be instructed in practices and issues that are common to all areas of computational science. They will also receive the equivalent of a one semester hour course in ethics for scientists and engineers. Experts will be brought in to discuss computational science from the more applied perspective of industry and government service, as well as potential career trajectories. This program will focus on students in the EPSCoR states of West Virginia and Kentucky, as well as students from historically black colleges and universities. Students will present the results of their research in a symposium to conclude the summer program and at a professional conference as appropriate. Students will emerge from the program with skills and confidence that can carry them into postgraduate studies, as well as an awareness of possible careers using computational science.