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Design and Fabrication of Microelectromechanical Devices

Course Overview

  • Institution: MIT
  • Course code: 6.777J
  • Track: Micro/Nanofabrication and MEMS
  • Tier: A
  • Role: Mainline
  • Level: Not standardized by provider (use prerequisites)
  • Last reviewed: 2026-07-28

MIT's Design and Fabrication of Microelectromechanical Devices builds a MEMS design spine from notes, solved problems, programming, and design work, while physical fabrication remains inaccessible to most independent learners.

Why choose this course

Mainline course. A reliable option that can serve as a main course or strong alternative.

Before you start

  • Recommended foundation: Semiconductor Devices
  • Recommended foundation: Physics Foundations

Verifiable learning outcomes

  • Explain the core models in Micro/Nanofabrication and MEMS, including their assumptions and limits
  • Solve representative derivations and problems, checking units, limiting cases, or numerical results
  • Complete a reproducible experiment or implementation with raw data, parameters, versions, and verification

Workload and pacing

13 weeks at 9 hours/week. This maintainer planning estimate is derived from course role and the density of public practice and labs; it is not a provider workload promise. Pilot two weeks while logging instruction, practice, lab, and review time, then adjust the remaining plan when actual effort differs by more than 25%.

Safety level

Simulation only. The default practice scope is software, computation, or simulation only; a lab label in the resource inventory does not authorize connecting physical equipment, and any hardware extension requires provider-scope verification and a new risk assessment.

Course Resources

Software, hardware, and cost

Software

  • Maintainer-suggested open-source/free verification path: KLayout, gdsfactory, Python 3, and Jupyter
  • The resource inventory lists public code coverage; pin interpreter, dependencies, toolchain, datasets, and PDK versions where applicable

Hardware

  • The resource inventory lists lab coverage, but this course's maintainer path explicitly limits it to computational or simulation work. It assumes only a general-purpose computer able to run the software above and retain results; do not purchase or connect institution-approved cleanroom, process tools, metrology, and personal protective equipment; do not substitute home purchases

Cost note

The current maintainer path uses computation and simulation only, with no dedicated hardware purchase, and prefers open-source/free tools. This is not a provider requirement; platform, commercial-software, or cloud-compute costs still vary by provider, region, and plan.

Public resource coverage

Resource type Completeness
Video No public material
Notes Complete
Practice Complete
Labs Partial
Exams No public material
Code Partial

Resources and access

Resource Access License Status Verified
Course home Open access CC BY-NC-SA 4.0 for site materials; third-party exclusions may apply Listed by official page 2026-07-28
Assignments Open access CC BY-NC-SA 4.0 for site materials; third-party exclusions may apply Listed by official page 2026-07-28
Syllabus Open access CC BY-NC-SA 4.0 for site materials; third-party exclusions may apply Listed by official page 2026-07-28
Calendar Open access CC BY-NC-SA 4.0 for site materials; third-party exclusions may apply Listed by official page 2026-07-28
Lecture Notes Open access CC BY-NC-SA 4.0 for site materials; third-party exclusions may apply Listed by official page 2026-07-28
Projects Open access CC BY-NC-SA 4.0 for site materials; third-party exclusions may apply Listed by official page 2026-07-28

“Listed by official page” means the link was discovered on a successfully fetched official source on the verification date; it does not guarantee that every region or account can open the target directly. Access does not grant redistribution rights. Re-check the provider page, target link, and third-party notices before downloading, adapting, or publishing material.

Practice and Verification

Practice loop

Design and Fabrication of Microelectromechanical Devices · MIT 6.777J: MEMS Process-Flow and Tolerance Digital Validation

This is a maintainer-suggested self-study project for Design and Fabrication of Microelectromechanical Devices · MIT 6.777J, not an official course assignment. Propose a virtual MEMS or microfabricated structure and process flow for Micro/Nanofabrication and MEMS, then simulate geometry, residual stress, etch bias, and failure margin.

Origin: Maintainer-suggested project

Deliverables

  • Device cross section, mask layers, materials, process sequence, design rules, and risk analysis
  • Parameterized geometry or finite-element model and process-tolerance sweep sources
  • Raw displacement, frequency, stress, thermal or fluid results and at least 100 tolerance samples
  • A report defining process window, yield proxy, failure modes, and layout correction

Verification

  • Keep the nominal key response within 10% of a simplified beam or membrane analytic model
  • Cover minimum feature, maximum etch bias, material extremes, and contact or buckling boundaries
  • After mesh refinement, keep the key metric change below 5% and report energy or force balance
  • Inject residual stress or mask misalignment and locate the first design-rule or performance failure

Reproducibility

  • Commit cross-section or mask, parametric geometry, solver, sweep, and post-processing sources
  • Pin solver, material library, meshing rules, process parameters, and tolerance seeds
  • Preserve raw field and geometry data, solver logs, and the generated report

Safety boundary: Simulation only — Use process planning and simulation only; do not use chemicals, vacuum, plasma, lithography, cleanroom equipment, or physical micromechanical structures.

Risks, gaps, and boundaries

Problem solutions, programming, and design work are public, but fabrication is unavailable to most independent learners and prior microfabrication is desirable.

Completion evidence

  • Weekly learning log with time, questions, corrected errors, decisions, next steps, and links to that week's reproducible artifacts
  • Design-review package with requirements and constraints, trade-offs, editable sources, applicable ERC/DRC/timing/stability checks, exports, and a reproduction test
  • Code repository with pinned dependencies and toolchain, a minimal run command, tests or waveform/benchmark checks, expected output, and license notes
  • Simulation package with model or netlist, inputs, solver and version, parameter-sweep script, benchmark comparison, expected results, and one rerun command