Self-assembled Peptide-p-electron Supramolular Polymers: FAIR Data and Student Training

2/8/2023 | J. Tovar, H. Katz (Johns Hopkins U.) A. Ferguson (U. Chicago)

Broad dissemination. All computational codes have been hosted on GitHub (https://github.com/), simulation trajectories on the Materials Data Facility (https://materialsdatafacility.org/) and Zenodo (http://zenodo.org), and a project webpage provides information about the team and research outcomes (https://sites.krieger.jhu.edu/dmref/).

Self-assembled Peptide-p-electron Supramolular Polymers:Workforce Training, Outreach, and Data Sharing

2/8/2023 | J. Tovar, H. Katz (Johns Hopkins U.) A. Ferguson (U. Chicago)

Workforce training. PhD graduates Dr. Rachael Mansbach and Dr. Bryce Thurston, trained under this award, secured postdoctoral positions at Los Alamos and Sandia National Labs.

Self-assembled Peptide-p-electron Supramolular Polymers: Student Training and Dissemination

2/8/2023 | J. Tovar, H. Katz (Johns Hopkins U.) A. Ferguson (U. Chicago)

Undergraduate and High School Research. At JHU, undergraduates Rachel Barrows and Celina Nichols worked on biosensitive electronic devices, and Clara Troyano-Valls on heterostructure self-sorting. Clara will enter MIT for graduate work in Chemical Engineering. At Chicago, undergraduate Olivia Dunne and high school senior Isabella Moughal worked on molecular simulations of peptides. Isabella will attend UIUC for an undergraduate degree in engineering. At UIUC, high school student Dina Hashash developed 3D visualizations of assembled oligopeptides.Broad Dissemination. All computational codes have been hosted on GitHub (https://github.com/), simulation trajectories on the Materials Data Facility (https://materialsdatafacility.org/), and a project webpage provides information about the team and research outcomes (https://sites.krieger.jhu.edu/dmref/).

Data Driven Discovery of Conjugated Polyelectrolytes for Neuromorphic Computing

2/6/2023 | Gang Lu & Xu Zhang (California State University Northridge) and Thuc-Quyen Nguyen & Guillermo Bazan (UCSB)

The project provides an excellent opportunity to train high school, undergraduate and graduate students, postdoctoral scholars, and a high school teacher.

Translating Bioelectrochemical Engineering

2/3/2023 | Gregory Payne and William Bentley

Undergraduate Laboratory Experiment: Adsorption of Perfluoroalkyls in Metal Organic Frameworks

2/3/2023 | Omar Farha (Northwestern University)

A two-component undergraduate laboratory experience has been developed by students in a senior level capstone course.

Graduate Certificate in Data Science for the Chemical Industry and Data Science Internships

11/23/2022

Meredith and Grover helped develop a new graduate certificate program consisting of four courses at Georgia Tech in Data Science for the Chemical Industry (DSCI).

Graduate Training in Machine Learning for Materials Design

10/1/2022 | Mingda Li, Massachusetts Institute of Technology

The DMREF research work, led by Dr. Nina Andrejevic, a female material scientist in Mingda Li’s group, was a critical component in Nina’s Doctoral Thesis, titled “Machine Learning-Augmented Spectroscopies for Intelligent Materials Design”.

Machine Learning Accelerated Design and Discovery of Rare-earth Phosphates as Next Generation Environmental Barrier Coatings

9/24/2022 | Jie Lian, Rensselaer Polytechnic Institute

8 undergraduate researchers and 1 master student were trained by the PIs under the support of this DMREF project on different aspects of experimentations, FEM modeling and image processing with numerical software and FEM tools such as DREAM 3D, ABAQUS, and Matlab.

Training Graduate Students in the Art of MOCVD

5/16/2022 | W. Lambrecht, K.Kash, H. Zhao

Graduate students Dinushi Jayatunga and Reza Karim collaborating on a growth sequence in the MOCVD instrument