Hynes, Level 2, Room 210
Machine Learning (ML) and Artificial Intelligence (AI) are powerful techniques that materials scientists can use to help analyze their data, choose experiments and discover new materials.
Hynes, Level 2, Room 201
This tutorial will comprehensively cover a diverse range of topics centered around the construction of advanced materials through aggregation and/or self-assembly, encompassing both experimental and theoretical aspects.
Hynes, Level 2, Room 204
This tutorial offers a comprehensive overview of recent advancements in the fields of thin films, heterostructures and membranes, emphasizing complex oxides and nanomembranes, along with their integration into sophisticated electronic systems.
Hynes, Level 2, Room 203
In recent years, PCM technologies demonstrated their potential in nonvolatile photonic applications, laying the groundwork for all-photonic memories and active plasmonics.
Hynes, Level 2, Room 206
The learning objectives encompass understanding mechanical properties in soft materials, thermal stability in space optoelectronics, radiation testing principles and the design considerations for ultralight barrier layers in space applications.
Hynes, Level 2, Room 202
The central objective for the tutorial will be to introduce graduate students and researchers from a chemistry or materials science background to some of the physics they will encounter in the symposium “Molecular Quantum Systems.”
Hynes, Level 2, Room 207
This tutorial will explore the tailored design of diamond surfaces to enable advanced electronic and quantum technologies.
Hynes, Level 2, Room 200
In this tutorial, the instructors will present an overview of the many SWCNT separation methods developed for isolating particular subpopulations of nanotubes through liquid-phase processing of SWCNT dispersions.