Nano-AI Convergence

The Conference is a combination of keynotes, panels, posters, program information sessions, discussions of research trends, and principal investigator meetings with NSF program directors. The presentations will cover research trends, foundational breakthroughs with broad relevance, overviews of progress and new research, education, and innovation areas with a focus on nanotechnology and artificial intelligence convergence. Keynote presentations are followed by discussion panels.

updated November 27, 2024.

Day 1: Monday, December 9, 2024

Nano-AI Convergence: Research and Education

Note: all times are Eastern Time Zone

8:00amRegistration Opens and Continental Breakfast
9:00Poster Session
Session Co-Chairs: Eric Josephs, SUNY Stony Brook; Seetha Raghavan, NSF/ENG/EEC
10:30NSF welcome and overview – Susan Margulies, bio, NSF;
NSF Welcome (introduced by Khershed Cooper)
10:40Keynote: “Nano AI convergence - Overview”
Wei Chen, abstract/bio, Northwestern University (Introduced by Junhong Chen)
11:00Session 1. Nano-AI convergence: Challenges and Opportunities
NSF Co-Chair: John Schlueter, DMR;
Academic Co-Chair: William L. Wilson, bio, Harvard University

Keynote Speaker - Milad Abolhasani, abstract/bio, North Carolina State University
“Accelerated Nanomaterial Discovery and Manufacturing with Self-Driving Fluidic Labs”

Panelists:
  • Owen Miller, Yale University
  • Wei Wang, University of California Los Angeles
Q&A Roundtable following presentations
12:00Session 2. AI for nanomaterials discovery
NSF Co-Chair: Dmitry Golovaty, DMS/Applied Mathematics;
Academic Co-Chair: Cate Brinson, abstract/bio, Duke University
“Local Polymer Interfacial Mechanics: Effect of Topological and Chemical NanoPatterning”

Keynote Speaker - Qian Chen, University of Illinois

Panelists:
  • Natalie Stingelin, abstract/bio, Georgia Institute of Technology
    “Novel Plastic-Based Nano-Materials for Energy Sustainability”
  • Paulo Branicio, University of Southern California
Q&A Roundtable following presentations
1:00pmLunch Break
1:30Session 3. AI for nanodevice design
NSF Co-Chairs: Ananth Dodabalapur, NSF ECCS; Margaret Kim, ENG/ECCS
Academic Co-Chair: Tetyana Ignatova, bio, University of North Carolina - Greensboro

Keynote Speaker - Jonathan Albert Fan, abstract/bio, Stanford University
“Machine learning methods for designing and modeling photonic systems”

Panelists:
  • Amit Ranjan Trivedi, University of Illinois Chicago
  • Avik Ghosh, University of Virginia
Q&A Roundtable following presentations
2:30Session 4 - AI for Nanosystems
NSF Co-Chair: Paul Lane, bio, NSF DMR
Academic Co-Chairs: David Hoelzle, Ohio State University (virtual) and Kira Barton, University of Michigan

Keynote Speaker - Dragan Djurdjanovic, abstract/bio, University of Texas at Austin
“Physics-informed AI - an enabling paradigm in semiconductor manufacturing, with a case study in photolithography overlay control”

Panelists:
  • Keith A. Brown, abstract/bio, Boston University
    “Autonomous Experimentation and Nanotechnology”
  • Yuxin Chen, University of Chicago
Q&A Roundtable following presentations
3:30Break 15'
3:45Session 5. AI for nanomanufacturing
NSF Co-Chair: Khershed Cooper, bio, NSF CMMI
Academic Co-Chair: Michael Cullinan, bio, University of Texas at Austin

Keynote Speaker - Kira Barton, Univeristy of Michigan

Panelists:
  • Xianfan Xu, abstract/bio, Purdue University
    “Active Machine Learning for Multi- photon 3D Nano-printing”
  • Dragan Djurdjanovic, abstract/bio, University of Texas at Austin
    “Physics-informed AI - an enabling paradigm in semiconductor manufacturing, with a case study in photolithography overlay control”
Q&A Roundtable following presentations
4:45Day 1 Wrap-up
5:00Adjourn

Day 2: Tuesday, December 10, 2024

Nano-AI Convergence: Grand Challenges

Note: all times are Eastern Time Zone

8:00amRegistration Opens and Continental Breakfast
9:00Poster Session
Session Co-Chairs: Eric Josephs, SUNY Stony Brook; Seetha Raghavan, NSF/ENG/EEC
10:15Keynote Speaker: Neil Sahota, abstract/bio, ACSI Labs (Introduced by William Wilson)
“AI Meets Nano: Driving Breakthroughs and Transforming the Future”
11:00Session 6. Nano-AI convergence for sustainability
NSF Co-Chair: Birgit Schwenzer, bio, NSF DMR
Academic Co-Chair: Jakoah Brgoch, bio, University of Houston

Keynote Speaker - Aaswath Pattabhi Raman, University of California Los Angeles

Panelists: Q&A Roundtable following presentations
12:00Session 7. Nano-AI convergence for biology and nanomedicine
NSF Co-Chair: David J. Klinke, bio, NSF BIO
Academic Co-Chair: Christine Payne, bio, Duke University

Keynote Speaker - Yaroslava Yingling, abstract/bio, North Carolina State University
"Nano-Bio-AI Convergence: Achievements and Challenges"

Panelists:
  • Andrew Ferguson, abstract/bio, University of Chicago
  • Adam Gormley, Rutgers University
Q&A Roundtable following presentations
1:00pmLunch Break
2:00Session 8. Nano-AI Research and Educational Initiatives
NSF Co-Chair: Abiodun Ilumoka, bio, NSF DUE
Academic Co-Chair: Daniel Herr, bio, University of North Carolina - Greensboro

Keynote Speaker - Deep Jariwala, abstract/bio, University of Pennsylvania
“Materials and Devices for Next-Generation AI Hardware and vice versa”

Panelists:
  • Rachel Switzky, abstract/bio, University of Illinois Urbana-Champaign
    “Molecules by (Human-Centered) Design: Applying Design Thinking to AI and Chemistry”
  • Shana McAlexander, abstract/bio, Duke University
    “Building and Supporting Interdisciplinary Graduate Teams”

Q&A Roundtable following presentations
3:15Break 15'
3:30Session 9. Nano-AI convergence: infrastructure and data sharing
NSF Co-Chair: Richard Nash, bio, NSF NNCI/ECCS (virtual) and Paul Lane (in person)
Academic Co-Chair: Mary Tang, Stanford University

Panelists:
  • Samantha Roberts, abstract/bio, City University of New York
    “Revolutionizing Nanofab Knowledge Management with Generative AI”
  • Frederic deVaulx, Prometheus Computing LLC
  • David Elbert, Johns Hopkins University
    “Forging FAIROS from Materials Science Cyberinfrastructure”
  • Scott Edmiston, Stanford University
    “History of Biomedical Research Data Sharing: Object Lessons and Cautionary Tales”
Q&A Roundtable following presentations
4:50Conference wrap-up
Announce Poster Winners
Closing Comments – Nora Savage, Khershed Cooper, Birgit Schwenzer, Tetyana Ignatova, Eric Josephs, and Junhong Chen bio
5:00Adjourn