The Applied Surface Science Division provides a world-leading forum for the design and characterization of the surfaces and interfaces that underpin technologies ranging from medical implants to electronic devices.
The session topics include the “Applied Surface Science through AFM” session, which offers comprehensive insight and discussion into analysis using AFM. This year, we provide a special focus on “SIMS data mining”, highlighting recent innovations and developments in this widely-used method. The “Applied Surface Science in Action” sessions provide comprehensive insight and discussion into methods used widely in industry, government, and academic settings. One session will have a panel focus specifically for students to understand how applying surface science can become a great career. The “Characterizing Battery Materials, Surfaces, and Interfaces with Data-Driven and Autonomous Methods” session is part of a mini-symposium on batteries that aims to focus on the surface science characterization of battery interfaces, along with the application of thin-film processing in battery systems. For our session, we would like to address data-driven insights specifically. The Applied Surface Science Poster Session will capture condensed highlights on all of these subjects on Thursday evening.
The division will hold its annual Business Meeting and Awards Ceremony on Tuesday evening. Highlights of this event include the student award competition and the ASTM E42 Committee on Surface Analysis forum. All members of the Applied Surface Science community are invited to attend.
Areas of Interest: The ASSD program is soliciting abstracts that describe advances in cutting-edge applied research involving surfaces and interfaces. A wide range of topics will be covered, including:
- Energy and Sustainability
- AFM Applications in Surface Science
- Characterizing Battery Materials, Surfaces, and Interfaces
- Data mining and AI with SIMS
- Quantitative Surface Science
- Industry, Standardization, and Metrology
AS1: Applied Surface Science Oral Session
Invited Speakers:
- Satoka Aoyagi, Seikei University, Japan, “Data-Driven Analysis Using Explainable AI (XAI) for Surface Analysis Data, Including Mass Images’
- David Carr, 3M Corporate Research Analytical Laboratory
- Justin Gorham, NIST
- Joshua Mayersky, Tokyo Electron America
- Elias Nakouzi, PNNL
- Jörg Radnik, BAM Berlin, Germany, “Quantification of Surface Functional Groups on Nano- and 2D Materials”
- Gustavo F. Trindade, National Physical Laboratory, UK
AS2: Characterizing Battery Materials, Surfaces, and Interfaces with Data-Driven and Autonomous Methods Oral Session
Invited Speakers:
- Ajay Karakoti, PNNL, “Understanding Failure Mechanisms Through Multimodal Investigation of Battery Electrodes”
- Nicola Perry, University of Illinois
- Anass Benayad, CEA-LITEN, France
AS3: Applied Surface Science in Action
AS4: Applied Surface Science Poster Session