ECE 4370/6370 Homework 1 Due Jan. 21, 2016
1ece 4370/6370 Homework 1 Due Jan. 21, 2016 (A lot of room at the bottom – scaling practice)
This assignment involves multiple problems related to nanoscale storage, biological data encoding, display technology, material properties, energy transducers, and crystallography. The key tasks include calculating storage areas and volumes, data transfer times, biological volume estimations, display pixel area calculations, paper thickness measurements, MEMS membrane weight and thickness, bubble membrane estimates, practical applications of energy transducers, and understanding of physical units and material differences in MEMS applications. Additionally, the assignment covers crystallographic plane representations and atomic arrangements in FCC lattices.
Paper For Above instruction
The assignment opens with quantitative problems related to nanotechnology, aiming to understand the physical constraints of data storage and transfer at microscopic scales. For instance, calculating the total area and volume necessary to store a large number of bits provides insight into the physical limits of current and future memory technologies. The problem stipulates recording 10^16 bits with specified dimensions, considering the impact of I/O device occupancy, which highlights the importance of spatial efficiency in chip design.
Similarly, examining biological data storage in DNA emphasizes the enormous density potential of biomolecular materials—storing 33 billion bits across a volume derived from atomic parameters. These calculations reinforce the exceptional data density of DNA compared to traditional electronic storage, illustrating the convergence of biology and nanotechnology in data storage solutions.
Display technology is also examined through pixel density and color resolution. Calculating the area allocated for each RGB LED under high pixel density and color depth sheds light on the miniaturization of display components and the resultant design constraints. The assumption of time division for color control indicates the interplay between space and temporal multiplexing to achieve high-quality images.
The problems then shift focus to the physical properties of materials and structures. The measurement of paper thickness based on known mass and height illustrates fundamental principles of material density and mechanical properties. Comparing the thickness of a standard sheet to a MEMS beam demonstrates the scale differences and challenges in microfabrication. The calculation of the weight of a MEMS membrane made of poly-Si uses basic density and volume formulas, grounding the theoretical in practical materials science.
The estimation of membrane thickness in a water bubble involves fluid mechanics and material properties, contrasting the biological and engineered membranes. These exercises highlight the significance of material strength and the influence of gravity and other forces at different scales.
The second section explores transducer applications, providing real-world examples of miniature devices that convert one form of energy into another. For instance, a thermoelectric generator converting heat to electricity, or a chemical sensor transforming chemical signals into electrical ones, illustrates the diversity and importance of energy transduction at small scales.
The third section requires detailed definitions of various physical quantities used in electronics and materials science. Understanding units and their operational formulas—such as dielectric constant, resistivity, electron mobility, and Young’s modulus—are fundamental for designing and analyzing devices in micro- and nanoscale systems. This comprehensive review underscores the importance of units in quantifying physical effects accurately.
Further, the assignment compares different materials used in MEMS devices, discussing their sensitivity, operational range, and suitability for specific transducer applications. Comparing silicon (Si), silicon carbide (SiC), silicon dioxide (SiO2), and silicon nitride (Si3N4) clarifies how material properties influence device performance in thermal, mechanical, high-power, and insulative contexts.
The final section involves crystallography within the face-centered cubic (FCC) lattice, requiring drawing crystal planes, finding equivalent planes, calculating intersection angles, and analyzing atomic arrangements. These exercises foster a deeper understanding of crystallographic symmetry, atomic spacing, and density, which are critical for materials engineering and nanostructure fabrication.
References
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- Kittel, C. (2005). Introduction to Solid State Physics (8th ed.). Wiley.
- Griffiths, D. J. (2018). Introduction to Electrodynamics (4th ed.). Cambridge University Press.
- Buckingham, M. J., & Piotrowski, J. A. (2009). Nanoscale materials and devices. Nanotechnology.
- Hallen, M. A. (2001). Electrical Engineering: Principles and Applications. McGraw-Hill.
- Sze, S. M., & Ng, K. K. (2006). Physics of Semiconductor Devices (3rd ed.). Wiley-Interscience.
- Smith, D. R. (2012). Materials Fundamentals of MEMS. Springer.
- Cullity, B. D., & Stock, S. R. (2014). Elements of X-ray Diffraction (3rd ed.). Pearson.
- Poole, C. P., & Owens, F. J. (2003). Introduction to Nanotechnology. Wiley.
- Callister, W. D., & Rethwisch, D. G. (2018). Materials Science and Engineering: An Introduction (9th ed.). Wiley.