Syllabus

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Course Meeting Times

Lectures: 2 sessions / week, 1.5 hours / session

Recitations: 1 session / week, 1 hour / session

Prerequisites

18.03 or 3.016.

Course Description

Introduction to Modeling and Simulation (IM/S) provides an introduction into modeling and simulation approaches, covering continuum methods (e.g. finite element analysis), atomistic simulation (e.g. molecular dynamics) as well as quantum mechanics. Atomistic and molecular simulation methods are new tools that allow one to predict functional material properties such as Young's modulus, strength, thermal properties, color, and others directly from the chemical makeup of the material by solving Schroedinger's equation (quantum mechanics). This approach is an exciting new paradigm that allows to design materials and structures from the bottom up — to make materials greener, lighter, stronger, more energy efficient, less expensive; and to produce them from abundant building blocks. These tools play an increasingly important role in modern engineering! In this subject you will get hands-on training in both the fundamentals and applications of these exciting new methods to key engineering problems.

Instructors

The subject will be taught by two instructors, each covering approximately one half of the subject. Each lecturer will teach a set of 13 lectures (Part I, lectures 2-13, Prof. Markus Buehler, continuum and particle methods; Part II, lectures 14-24, Prof. Jeff Grossman, quantum mechanics). The two parts will be based on one another and are integrated.

Lectures

Lecture notes will be distributed for each lecture, usually covering the material discussed in class. On occasion, detailed notes on "theoretical" aspects (derivations, formulas, algorithms, concepts etc.) or research papers will be distributed. The subject content is defined by the material presented in lectures, recitations and reading assignments, so regular attendance is advisable.

Recitations

Recitations will illustrate and/or expand concepts presented in lectures by working through numerical example problems, or by showing how to use the simulation codes. Material covered in recitations is often related to the problem sets and is considered part of the subject content, so regular attendance is advisable.

Homework

We will assign a total of approximately 6 problem sets, focused on simulation work and data analysis. Each problem set is designed to build upon the material covered in the preceding lectures and recitations. The homework assignments will be prepared by teams consisting of three students. In this case, each team will hand in one solution, with the names of team members who contributed as indicated on the cover page. The problem sets worked out by a team of students typically cover more complex problem that require numerical simulation.

Due dates for problem sets are firm and homework assignments will be corrected and handed back (with solutions) no later than two lectures after the due date. You may use any material to complete the solution. However, it is important that you properly reference the material used (e.g. books, website, journal articles).

Exams

There will be one in-class 1.5 hour midterm exam and a final exam during finals week. All exams are open-book, but bear in mind to develop an appropriate exam strategy. The exams typically cover theoretical material and important concepts related to the two parts, respectively.

Grading

The final grade will be based on: Homework (50%) and in-class exams (50%). Additional projects can be used to improve your overall score.

Calendar