​​Ultrafast Imaging of Materials Dynamics

​​Ultrafast Imaging of Materials Dynamics

Aug 8, 2018

The advent of short-pulse electron and x-ray sources has enabled pump-probe approaches for elucidating ultrafast materials dynamics. The July, 2018 issue of MRS Bulletin provides a cross section of the vigorous activity occurring in the study of light-induced ultrafast materials dynamics as it relates to various approaches. 

The approaches highlighted are leading to new physical insights, possibilities for engineering the properties of matter, and a new understanding of materials functionality of ultrasmall and ultrashort spatiotemporal scales.

The talks in this webinar will build upon the information presented in the MRS Bulletin issue, and a live question-and-answer session with the speakers will follow each talk.

​Lead-free Piezoceramics

​Lead-free Piezoceramics

Aug 21, 2018

With restrictions on hazardous substance usage in various applications comes lead-free compositions in certain piezoceramic applications. The current knowledge of primary piezoelectric properties has reached a sufficient level for use in applications, but research efforts continue toward a better understanding of secondary properties. Efforts to reduce the production and waste disposal of toxic lead has resulted in open avenues for new materials with properties better than lead zirconate titanate.

The August, 2018 issue of MRS Bulletin will focus on ​Lead-free Piezoceramics, and this webinar will build on the information presented in the issue.  Attendees will be able to participate in a live Q&A session with the speakers at the conclusion of each talk.

Machine Learning, AI, and Data-Driven Materials Development and Design

Machine Learning, AI, and Data-Driven Materials Development and Design

Sep 12, 2018

Materials are an important contributor to technological progress, and yet the process of materials discovery and development has historically been inefficient. In general, the current innovation workflow is human-centered, where researchers design, conduct, analyze and interpret results obtained through experiments, simulations or literature review. Such results are often high-dimensional, large in number and heterogeneous in nature, which hinders a researcher’s ability to draw insight from this data manually.

This webinar will explore the synthesis of machine learning with materials research, highlighting a broad spectrum of topics in which machine learning, artificial intelligence, or statistics play a significant role in addressing problems in experimental and theoretical materials science. It will also spur discussion on the fundamental connection between machine learning and material science, and its future application and impact.

AFM Characterization of Emerging Photovoltaics

AFM Characterization of Emerging Photovoltaics

Sep 13, 2018

The atomic force microscope (AFM) provides unique capabilities for nanoscale characterization of photovoltaic materials and devices. It can probe local electrical and functional response in light or dark conditions with environmental control, and map surface structure with unprecedented resolution. In this webinar, we provide an overview of AFM applications for emerging photovoltaics including hybrid organic-inorganic perovskites and organic semiconductors. Our guest speaker, Dr. Rajiv Giridharagopal, discusses results using standard and advanced modes such as photoconductive AFM, piezoresponse force microscopy (PFM), and time-resolved electrostatic force microscopy. Additional results are presented to further illustrate the power and versatility of AFMs for photovoltaic R&D.

​Data-Centric Science for Materials Innovation

​Data-Centric Science for Materials Innovation

Sep 26, 2018

 Frontiers of Solid State Batteries

Frontiers of Solid State Batteries

Oct 24, 2018

Sponsored by Goodfellow

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