Home

Challenge

CMOS-based Silicon-based microelectronics technology is facing an unprecedented energy challenge as artificial Intelligence technologies are predicted to have enormous requirements trending toward reaching global energy limits. As we look beyond Moore’s Law and face challenges related to scaling, we are reaching the limits of what can be achieved at the atomic level of transistors. This situation presents both a necessity and an opportunity to rethink the materials used in microelectronics and to innovate the design process.

News & Highlights

Heterogeneous integration of boron-doped p-diamond with monolayer n-MoS₂ for PN junctions operating at room temperature.
Nano Letters

About NSR-CHIP

NSR-CHIP is spearheaded by Sandia National Laboratories and receives funding from the Department of Energy (DOE)’s Office of Science. As a project under the Office of Science, NSR-CHIP is uniquely positioned to capitalize on the investments made in DOE national labs, user facilities, and research centers, creating exceptional collaboration opportunities.

Image of NSR-Chip-3d-Graphic-2

Our Vision

Image of Asset-19@300x

Technical Thrust Areas

Image of Asset-46@300x
More About Synthesis

Goal: Establish the science foundation of advanced epitaxy methods and M3D HI stacking with controlled atomic defects, materials functions, and interface properties.

Expected Outcome: Complex heterogenous material structures, arrays, and interfaces.

Image of Asset-47@300x
More About Physics Probing

Goal: Uncover the unique functional properties (electronic, transport, optical etc.) of M3D HI stacks of dissimilar materials systems (e.g., 2D on 3D materials) and the influences of atomic interfaces.

Expected Outcome: Interfacial properties, defect effects, and device behaviors.

Image of Asset-50@300x
More About Use Cases & ML Models

Goal: Utilize M3D HI in a system to demonstrate particle detection and employ a physics-informed machine learning framework to predictively connect multi-modal metrology and characterization data to system-level performance and energy efficiency.

Expected Outcome: Predictability between material properties and heterostructure behavior.

Image of Asset-49@300x
More About Tools

Goal: Develop a state-of-the-art multimodal M3D HI characterization framework for nondestructive operando metrology for buried materials and associated interfaces.

To learn more, please contact…