Synergistic Discovery and Design (SD2)
Abstract
The Synergistic Discovery and Design (SD2) program is developing data-driven methods to accelerate scientific discovery and robust design in domains that lack complete models. Engineers regularly use high-fidelity simulations to create robust designs in complex domains such as aeronautics and integrated circuits. In contrast, robust design remains elusive in domains such as synthetic biology, neuro-computation, and synthetic chemistry due to the lack of high-fidelity models. The SD2 program is developing tools to enable robust design despite the lack of complete scientific models. This involves collecting raw experimental data into a data and analysis hub, developing computational techniques that extract scientific knowledge directly from experimental data, and creating data sharing tools and metrics that facilitate collaborative design. SD2 application domains include synthetic biology, solar cell chemistry, and protein design.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2019
- Source ID
- 07c8b1692ed12e33f36d1fa2285ea653