Events Calendar

Lyman L. Handy Colloquia: Sadasivan Shankar (Intel)

Speaker: Sadasivan Shankar, Intel Corp.

Talk Title: From Atoms to Systems - Bridging of Theory to Applications

Series: Lyman L. Handy Colloquia

Abstract: The talk will have 3 parts:
1. Examples of specific industrial applications on computational processing, materials, and chemistry,
2. nanomaterials, and
3. thermodynamics of information processing.
Currently, development of materials from concept to product is both capital- and time-intensive.

Computational Materials Design is one of the techniques starting to get used to accelerate designing materials from atoms or condensed matter that when synthesized exhibits targeted properties at the systems level. As one of the earliest proponents and adopters of using Materials Design in the industry for bringing materials to prototyping faster, we have used a variety of techniques for industrial applications in semiconductor industry. We will show some examples of these applications. In this section of the talk, we will have talk about nano materials as the enabler for the next industrial revolution. In the next era, we contend that materials application will be based on nano dimensions, where size will be used to design materials with targeted properties. With the advent of so-called “smart” materials, nano dimensions (between atomic and macrostructures) is the front at which the difference between devices and materials will disappear, and both designed properties and synthesis will lead to new applications. This will also pose challenges in terms of modeling and characterization given the complex nature of the materials and the increased influence of interfaces between different nano-scale components. We will outline cases where these issues play out with examples drawn from multiple technology sectors, including the semiconductor and energy industries.

In the final section of the talk, we will use concepts of thermodynamics, quantum mechanics, and computing to assess efficiency of information processing. Energy or Power minimization is a universal macro-constraint for on-chip architectures. In addition, we will provide some pointers to architectures that could make existing systems more energy efficient.

Host: Prof. Vashista

Location: James H. Zumberge Hall Of Science (ZHS) - 159

Audiences: Everyone Is Invited

Contact: Ryan Choi