Tutorials Special Session

Monday 8 July

Dive into the exciting world of nanoscience and nanotechnology at the dedicated Tutorial Session of the IEEE NANO 24, designed exclusively for students and young professionals seeking invaluable insights into these cutting-edge fields. This unique opportunity offers a dynamic platform for participants to interact with experts from around the globe. Renowned professionals will offer a series of tutorials, providing a comprehensive overview of key aspects of various advancing technologies. This immersive experience aims to bridge the gap between theoretical knowledge and practical applications, offering a deepened understanding of the latest advancements. Whether you are a novice or a seasoned enthusiast, this tutorial day promises to inspire, educate, and connect students and young professionals with the forefront of innovation in nanotechnology. Don’t miss this chance to broaden your horizons and engage with leading minds during IEEE NANO 2024.

Tutorial 1

Gerhard
Gerhard Klimeck
Community Building on Chipshub.org powered by nanoHUB.org

Gerhard Klimeck, Tanya Faltens, Daniel Mejia, Alejandro Strachan, Lynn Zentner, Michael Zentner*

Network for Computational Nanotechnology, Purdue University
*San Diego Supercomputing Center, UCSD

Community Building on Chipshub.org powered by nanoHUB.org

Gerhard Klimeck, Tanya Faltens, Daniel Mejia, Alejandro Strachan, Lynn Zentner, Michael Zentner*

Network for Computational Nanotechnology, Purdue University
*San Diego Supercomputing Center, UCSD

Gerhard

Gerhard Klimeck

Over 250,000 nanoHUB users have run over 7 million simulations in Apps mostly focused on semiconductor devices and materials modeling. nanoHUB created nano-Apps before Apple created Apps for the iPhone and made scientific codes usable for a much larger user group.  Most scientific tools strive to be comprehensive in solving “any” simulation problem in a specific problem range.  That comprehensiveness limits the use to experts, who require extensive training.  nanoHUB has instead focused on delivering a spectrum of Apps (over 700 now) that individually have a limited capability focused on a PN-junction, MOSFET, or nanowire while the underlying tool could of course solve a much wider set of problems.   We assembled some of these Apps that are essential for specific courses into small sets such as ABACUS (crystals, bandstructure, drift-diffusion, pn-junctions, BJTs, MOScaps, MOSFETs) [1].  The usability results are stunning.  Our user analytics prove that over half of the simulation users participate in structured education through homework/project assignments.   We can identify classroom sizes and detailed tool usage [2,3]. We can begin to build mind-maps of design explorations and assess depth of explorations for individuals and classes. While parts of academia struggled to innovate curricula, we have measured the median first-time App insertion into a class to be less than six months.  Over 180 institutions have utilized nanoHUB in their curriculum innovation in over 3,600 classes.   Over 1 million nanoHUB visitors explore lectures and tutorials annually.  Based on this community presence we have expanded nanoHUB towards chip design.   Chipshub.org deliver online modeling, simulation, virtual environments, and lectures for the US initiative on workforce development and research funded by the US CHIPSact.    Commercial chip design vendors are partnering with Chipshub to host professional chip and semiconductor design software.  This presentation will overview some of the nanoHUB impact metrics.  In the tutorial a brief overview of ABACUS will be given and the audience may request other tool demonstrations or exploration.

[1] https://nanohub.org/groups/abacus ABACUS – Assembly of Basic Applications for Coordinated Understanding of Semiconductors.  A one-stop-shop for teaching and learning semiconductor fundamentals.
[2] Krishna Madhavan, Michael Zentner, Gerhard Klimeck, “Learning and research in the cloud”, Nature Nanotechnology 8, 786–789 (2013)
[3] TEDx Talk, Klimeck, “Mythbusting Scientific Knowledge Transfer with nanoHUB.org”, https://www.youtube.com/watch?v=PK2GztIfJY4 .

Tutorial 2

MPA-T2

M. P. Anantram

DNA Nanostructures – Insights from Electrical Modeling

M. P. Anantram

Department of Electrical and Computer Engineering
University of Washington, Seattle, WA, USA

DNA Nanostructures – Insights from Electrical Modeling

M. P. Anantram

Department of Electrical and Computer Engineering
University of Washington, Seattle, WA, USA

MPA-T2

M. P. Anantram

This tutorial serves as an introduction to the electronic properties of DNA and their heterostructures. DNA nanostructures exhibit precise self-assembly capabilities, forming heterostructures with high accuracy. These DNA heterostructures lay the groundwork for proposals involving memory elements, diodes, and resonant tunneling devices, which can emerge from either native DNA or through intercalation processes. We discuss DNA heterostructures of comparable lengths, which show a resistance contrast of nearly two orders of magnitude. Research on electronic transport also suggests the potential for an electrical method to identify short DNA strands, which could be instrumental in disease detection. We will explore the key components involved in modeling these heterostructures and provide an overview of our code for calculating their electronic properties. More recently, the construction of complex heterostructures based on the hybridization of multiple DNA strands has led to the development of 3D DNA nanostructures. These DNA architectures can be assembled into various shapes. We will discuss a recent proposal featuring a nanoscale pore for probing ionic concentration in cells when interfaced with transistors.

Another category of DNA nanostructures involving metal intercalation has been recently proposed by Vecchioni, Canary and Sha. These metal-intercalated structures introduce novel avenues for modulating the electronic properties of DNA. We will discuss the computational pathways for modeling these structures, along with the associated challenges. Modeling these structures necessitates a range of tools, from molecular dynamics to drift-diffusion simulators, depending on the specific features under study.