Machine Learning (ML) and Artificial Intelligence (AI) are powerful techniques that material scientists can use to help analyze their data, choose experiments, and discover new materials.
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.
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.
In recent years, PCM technologies demonstrated their potential in non-volatile photonic applications, laying the groundwork for all-photonic memories and active plasmonics.
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.
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”.
This tutorial will explore the tailored design of diamond surfaces to enable advanced electronic and quantum technologies.
In this tutorial the instructors will present an overview of the many SWCNT separation methods developed for isolating particular sub-populations of nanotubes through liquid-phase processing of SWCNT dispersions.