United States

Top-down image analysis of hexagonal hole arrays created in silicon using block-copolymer nanolithography was used to evaluate differences in dry etch rate between n-type, p-type, and intrinsic silicon.  By analyzing the hole areas and extracting the average radius and porosity, sub-nm differences in chemical etch rate could be extracted.

EIPBN 2021

Using block-copolymer nanolithography as a tool to sensitively evaluate variation in chemical dry etching rates of semiconductor materials with sub-5 nm resolution

self-assembly

dry etching

doping

block-copolymers

nanolithography

image analysis

The International Conference on Electron, Ion and Photon Beam Technology and Nanofabrication (EIPBN), affectionately known as "3-Beams," is the premier gathering of scientists and engineers who are dedicated to electron, ion and photon lithography, imaging, and analysis; atomically precise fabrication; nanofabrication process technologies and related emerging technologies; and their applications in a broad spectrum of fields. In its 64th meeting, researchers from academia, government laboratories, and industry from around the world meet to present and discuss recent and future trends in these technologies.
 
 
 
[![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/4bdf4450aa93073cd684b096b403df2e.png)](https://drive.google.com/file/d/1CPaA3-Yf7_maBxJMUJaUORLF3HGO9CIe/view?usp=sharing) [![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/cea8a407085dee5422a2c16738ce27ca.png)](https://eipbn.org/abstracts/2021/)

To register for this event, please follow the link below.

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


ICPR 2020 MAIN CONFERENCE

technical paper

Colors produced from nanostructures of different geometries and materials in 2D and 3D made mostly using 3D printing with two-photon polymerization.

Nanostructured Colors from Colorless Materials

We investigated the combination of maskless UV lithography and 2PP (two-photon polymerization) on a standard photo-resist: SU-8. 2PP technology is known to be slow. The advantage of mixing the technologies becomes obvious when some elements of a design can be exposed faster using maskless UV lithography.

Hybrid 2D & 3D Lithography

In this work, we discuss the fabrication process for two types of low-index metalenses composed of air-spaced elements.  First, we discuss the fabrication of our recently demonstrated two element hybrid achromatic metalens (HAML)  that employs nanopillars. Second, we discuss a novel air-spaced, varifocal, metalens that employs nanoholes.

Achromatic and Varifocal Metalens Doublet Fabrication by Two-photon Lithography

We present 3D printed Hybrid metasurfaces that employ variable height (3D) phase plates, pillars, and holes that provide additional degrees of freedom beyond purely planar designs. These structures were 3D printed with two-photon lithography technique.

Hybrid Metasurface Fabrication Using Two-photon Lithography

Molybdenum disulfide, as  a transition metal dichalcogenide, has attracted huge attention for its good optical properties. However, to produce corresponding arrays of nano/microscale devices, resist-based lithography and etching generate permanent contaminations and damages. Here, we report a  method capable of generating arbitrary MoS2 patterns without additional lithography or etching processes.

Multiplexing Rubbing-Induced Site-Selective (RISS) Method for Manufacturing MoS2 Device Arrays

In this work, we study the photo-response properties (e.g., photoresponsivity and noise equivalent power (NEP)) of in-plane MoS2 photodetectors as the function of their geometric dimensions (e.g., thickness, length, and width of photoactive layers) and fabrication conditions (e.g., doping, etching, and substrate choice).

Fabrication optimization of the photo-response characteristics of MoS2 photodetectors for biosensing applications

CVD graphene has brought interest from the biosensors community. Previous work in our group demonstrated a unique fabrication protocol for graphene solution gated field effect transistor (SGFET). This study presents the electrochemical characterization and first biological detection campaign (using aptmamers as probe for hormone detection) of our SGFET sensors.

Electrochemical characterization of graphene gated field effect transistors: route for smart biological sensors

We have developed PHIDL, an open-source GDSII-based CAD tool for Python. PHIDL allows intuitive-but-powerful generation of geometries and has a large library of premade geometry functions ready for use, including basic shapes, text, lithographic test structures, boolean operations, placement and automatic packing algorithms, superconducting nanowires, and photonic routing.

HIDL: Intuitive GDS layout and CAD geometry creation for Python

Ultrahigh aspect-ratio structures are important for x-ray optics, energy storage, and sensors. Atomic layer deposition with nucleation and growth enhancement was developed to coat nanoporous silicon microstructures with aspect ratios up to 500:1, an order of magnitude higher than before. Devices prepared with these structures provide integrated on-chip energy storage.

Ultrahigh Aspect Ratio Silicon Nanoporous Microstructures Coated Using ALD with Nucleation Enhancement for Energy Storage and Other Applications

Virtual metrology refers to methods that employ manufacturing process related data and relevant sensor readings to predict properties of the product. The initial results examining the end-point detection of a single RIE step indicate that the approach is viable and performs better compared with traditional feature identification by user experience.

Using block-copolymer nanolithography as a tool to sensitively evaluate variation in chemical dry etching rates of semiconductor materials with sub-5 nm resolution

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