Communication is powerful. The language we use and the way we communicate has an impact on who gets centered in science. Are our communications drawing the audience in or creating unintended barriers? During this presentation, we will share tools and actionable steps that each person can take in their professional and volunteer roles to make the broader scientific community more inclusive and welcoming of everyone. Topics include inclusive communication strategies and their impact, accessibility of in-person events, and how to make content such as journal articles, web pages, and other communications more accessible to persons with disabilities.

MRS and ACS are collaborating to share information, tips and tools from the ACS Inclusivity Style Guide created by the ACS Office of Diversity, Equity, Inclusion, and Respect (DEIR), which is committed to empowering everyone, irrespective of lived experience, to fully participate in the chemistry enterprise. The unit is the central hub that coordinates, supports, and guides all efforts by ACS staff, members, and governance toward strategic plan goal 5, “Embrace and Advance Inclusion in Chemistry.” The Office of DEIR helps to fully realize the core value of DEIR in ACS’s organizational culture as well as its products, programs, and services so that everyone in the chemistry enterprise can thrive.

The MRS DEI Aspiration is to embrace diversity, equity, and inclusion (DEI) by actively engaging our diverse global membership, supporting the careers of underrepresented researchers, and investing in community actions to address bias and end inequities.

Thank you to our MRS Diversifying Materials Corporate Partner

Methods rooted in data science, machine learning, and artificial intelligence have become necessary components of materials design endeavors, being frequently applied in conjunction with both computational and experimental data. The now thriving field of materials informatics has seen the accelerated discovery of new battery materials, solar cell absorbers, thermoelectrics, and routes for autonomous synthesis and characterization. The need to educate and train the materials science workforce on the essential elements of machine learning has never been greater.

A series of tutorials on machine learning and artificial intelligence were presented at the MRS Spring 2022, MRS Fall 2022 and MRS Spring 2023 meetings. This webinar will overview the material presented in these tutorials and provide a sampling of the content.

We invite you to view the complete tutorial session, which is presented in five parts:

Part 1: Introduction to Machine Learning

Part 2: Gaussian Process Regression

Part 3: Neural Networks

Part 4: Battery Informaties video 1

Part 5: Battery Informaties video 2

The rapid advancements of Artificial Intelligence technology have brought about revolutionary changes in materials discovery.

Neural Network Potential (NNP) describes molecular dynamics force field using a neural network, and many physical properties can be simulated using this single neural network. The webinar reviews the history of NNP research to understand how dataset & neural network architecture are improved.

We also describe the effort to develop a universal neural network and introduce the "PreFerred Potential (PFP)" implemented in Matlantis.

Self-efficacy is the perceived confidence people have in their ability to perform a specific task or skill. Participants will gain strategies for bolstering their research confidence and minimizing self-doubt.

During this session, participants will:

• Define what self-efficacy is and explore four sources for self-efficacy

• Articulate the mentor’s role in fostering mentees’ research self-efficacy

• Identify signs of self-efficacy in relation to research-related tasks

• Practice strategies for building self-efficacy in research

Ferroelectrics are attractive materials with potential applications that include memory devices, sensors and actuators, and energy harvesters. In addition to the well-established perovskite-structure oxide ferroelectrics, hafnia-based ferroelectrics have recently been discovered and have attracted considerable attention because of their ferroelectricity down to a thickness of a few nanometers, their compatibility with silicon fabrication processes, and the availability of deposition methods that realize three-dimensional structures. This is the first webinar jointly held by MRS and JSAP, and leading researchers from both societies will give talks on ferroelectric thin films from the viewpoints of application to electronics, exploration of new materials, and reliability. Inspired by the invited presentations featured in this event, we hope that webinar participants from both JSAP and MRS will engage in lively discussions.