Description

The aim of the nanoMFG Node, hosted at the University of Illinois at Urbana-Champaign (UIUC) in partnership with the University of California at Berkeley, is to develop computational software tools aimed at creating smart, model-driven and experimentally informed nanomanufactured structures and devices. To simulate every step of the manufacturing process of a nano-enabled product. The node’s mission is to be the engine for design, simulation, planning, and optimization of nano-manufacturing processes. This will be accomplished by developing tools using a layered computational infrastructure comprising nanoscale transport phenomena models, process models, uncertainty quantification framework, application and empirical validation of process models, tools for multiscale transport phenomena, and tools for nanoscale self-assembly.

All Categories (1-20 of 102)

1. Nanodiamond Raman Analysis Tool

   Tools | 03 Jun 2022 | Contributor(s):: Adrian Manjarrez, Aagam Rajeev Shah, Darren K Adams, Elif Ertekin, Lili Cai

   Analyze the Raman spectra of diamond nanoparticles and films.

2. Gr-ResQ Tutorial II: Tool Demonstration and Training

   Online Presentations | 04 Jun 2021 | Contributor(s):: Mitisha Surana

3. Gr-ResQ (Graphene Rescue) Tool Tutorial & Training

   Courses | 03 Jun 2021 | Contributor(s):: Mitisha Surana

   This hands-on tutorial will introduce users to the Gr-ResQ (‘graphene rescue’) platform. Gr-ResQ is (i) an open, crowd-sourced database of recipes and characterization of graphene synthesized by chemical vapor deposition, (ii) a set of analysis tools that enable users to analyze the...

4. Gr-ResQ Tutorial I: Introduction and Framework

   Online Presentations | 03 Jun 2021 | Contributor(s):: Mitisha Surana

5. Gr-ResQ Tutorial III: Machine Learning and Beyound

   Online Presentations | 03 Jun 2021 | Contributor(s):: Mitisha Surana

6. FDNS21: Epitaxial Growth of Transition Metal Dichalcogenides – The Path to Wafer-scale Single Crystal Monolayers

   Online Presentations | 20 May 2021 | Contributor(s):: Joan Redwing

7. FDNS21: Revealing the Full Spectrum of 2D Materials with Superhuman Predictive Abilities

   Online Presentations | 20 May 2021 | Contributor(s):: Evan Reed

8. FDNS21: Van der Waals Epitaxy of Atomically Thin Metal Oxide

   Online Presentations | 20 May 2021 | Contributor(s):: Lili Cai

9. FDNS21: Autonomous Research Systems for Carbon Nanotube Synthesis

   Online Presentations | 20 May 2021 | Contributor(s):: Benji Maruyama

10. FDNS21: Disorder and Defects in van der Waals Heterostructures

    Online Presentations | 11 May 2021 | Contributor(s):: Daniel A Rhodes

11. FDNS21: Workshop Introduction

    Online Presentations | 29 Apr 2021 | Contributor(s):: Sameh H Tawfick

12. FDNS21: Realizing 2D Transport in 2D Van der Waals Crystals

    Online Presentations | 27 Apr 2021 | Contributor(s):: Jiwoong Park

13. FDNS21: Artificial van der Waals Crystals

    Online Presentations | 27 Apr 2021 | Contributor(s):: Cheol-Joo Kim

14. FDNS21: Future Directions in Nanomaterial Synthesis: From Rational Design to Data-Driven Manufacturing

    Workshops | 27 Apr 2021 | Contributor(s):: Sameh H Tawfick (organizer), Elif Ertekin (organizer), Lili Cai (organizer), Arend van der Zande (organizer)

    Bringing together the leaders in nanomaterials synthesis from around the world.

15. FDNS21: Predictive Models in Materials Making, 2D, 3D, 2.1D

    Online Presentations | 27 Apr 2021 | Contributor(s):: Boris I Yakobson

16. FDNS21: Conversion of Large-area AB-stacked Bilayer Graphene to F-diamane

    Online Presentations | 27 Apr 2021 | Contributor(s):: Rod Ruoff

17. FDNS21: Conversion of Metal Oxide Films to 2D Metal Chalcogenide Films

    Online Presentations | 27 Apr 2021 | Contributor(s):: Judy Cha

18. FDNS21: Machine Learning Guided Synthesis of 2D Materials

    Online Presentations | 27 Apr 2021 | Contributor(s):: Zheng Liu

19. PlasFilm: An Open Access Solver for Elastoplastic Modeling of Thin Films

    Online Presentations | 12 Apr 2021 | Contributor(s):: Elyas Goli

    Manufacturing techniques in micro- and sub-micro scales, such as burnishing, indentations, and imprinting, may involve the plastic deformations of a thin metallic/polymeric layer. Carefully studying these deformations is vital to ensure the dimensional accuracy of the finished product...

20. U-Net Convolutional Neural Networks for Image Segmentation: Application to Scanning Electron Microscopy Images of Graphene

    Online Presentations | 01 Feb 2021 | Contributor(s):: Aagam Rajeev Shah

    This tutorial introduces you to U-Net, a popular convolutional neural network commonly developed for image segmentation in biomedicine. Using an assembled data set, you will learn how to create and train a U-Net neural network, and apply it to segment scanning electron microscopy images of...