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Master of Engineering in Materials Science and Engineering - Computational Materials Science

伦斯勒理工学院

Rensselaer Polytechnic Institute

US美国

  • 学历文凭

    学历文凭

    Masters Degree

  • 专业院系

    专业院系

    Materials Science and Engineering

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

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国际学生入学条件

For admission to graduate study, an applicant must have a U.S. bachelor's degree or the equivalent of a U.S. bachelor's degree prior to enrollment.
Transcripts and Degrees must be in English (all post-secondary education, including transcript keys).
Unofficial transcripts should be uploaded to your graduate application. The minimum requirement for admission consideration is the completion and award of a four year U.S. bachelor's degree, or its equivalent, by the time of planned enrollment.
Personal Statement
Resume or curriculum vitae
Two letters of recommendation
Portfolio, if required by department

TOEFL score of 88 iBT
IELTS score of 6.5
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  • 雅思总分:6.5
  • 托福网考总分:88
  • 托福笔试总分:160
  • 其他语言考试:Duolingo score of 120<br>PTE score of 59

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课程简介

Computational prediction of material properties from atomic to microstructural scales is a key, cross-cutting strength of the MSE department at Rensselaer. It provides a framework for understanding the detailed role of individual parameters such as composition, surface structure and chemistry, microstructure, nature of defects and their distribution in material synthesis, processing and properties. Expertise in our department spans electronic structure calculations at the atomic-nano scales, molecular dynamics simulations at the nano-meso scales, phase field simulations at the meso-micro scales, and continuum simulations up to the macroscopic scale. These techniques facilitate in silico prediction of a vast array of properties including chemical, mechanical, phase equilibria and transport of charge, mass and heat, in materials of all classes.<br><br>Specific current areas of research, starting at the atomic scale, include first-principles electronic structure calculations of charge transport in nanoscale wires for future electronic devices, and dynamics of hot photo-excited carriers in metallic nanostructures for novel solar cells and photodetectors. Electronic structure calculations also guide the design of electrochemical interfaces for energy conversion and new functional perovskite materials. Molecular dynamics simulations power a vast spectrum of research at Rensselaer including the design of nanostructured materials for energy applications, mass and thermal transport, dynamics of molecular motors, proteins and other biomaterials, properties of polymer nanocomposites, nanofluids, oxide glasses and metallic glasses, as well as interfaces between these materials.
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