LLNL researchers have developed an approach to form silicon carbide (and diamond) nanoneedles using plasma etching that create micro pillars followed by chemical etching of the pillars in forming gas containing hydrogen and nitrogen. Combining these two etching processes allow for fabrication of micro- and nanoneedles that are thinner and sharper than conventionally fabricated needles.
Keywords
- Show all (51)
- Imaging Systems (9)
- Photoconductive Semiconductor Switches (PCSS) (9)
- Semiconductors (6)
- Optical Switches (5)
- Power Electronics (3)
- Additive Manufacturing (2)
- Computing (2)
- Electric Grid (2)
- Particle Accelerators (2)
- Sensors (2)
- Spectrometers (2)
- 3D Electronics (1)
- Brain Computer Interface (BCI) (1)
- MEMS Sensors (1)
- Optical Sensors (1)
- Quantum Science (1)
- (-) Analysis (1)
- (-) Instrumentation (1)
Image

LLNL’s Distributed Implicit Neural Representation (DINR) is a novel approach to 4D time-space reconstruction of dynamic objects. DINR is the first technology to enable 4D imaging of dynamic objects at sufficiently high spatial and temporal resolutions that are necessary for real world medical and industrial applications.