The Materials Virtual Lab at the University of California San Diego‘s Department of NanoEngineering is a materials AI group focused on the cross-disciplinary application of machine learning to large materials data sets to accelerate materials design. We develop cutting-edge software frameworks for automation of calculations, sophisticated data infrastructure for large materials data, and state-of-the-art machine learning models with high predictive accuracy.
Our vision is to be a world-class computational materials group pioneering the application of informatics techniques in materials study and design.
- We develop techniques that effectively integrate materials, computer and information science.
- We apply cutting-edge computational techniques to gain novel and useful insights into materials design.
- We build robust open software and data infrastructure for materials analysis.
We practice integrity in all forms.
We are honest and fair to fellow group members and collaborators.
We have a zero-tolerance policy towards plagiarism and falsification of results.
We strive for excellence in everything that we do.
We stand by the quality of our science.
We aim to develop scientists with great analytical, technical and communication skills.
We believe great teamwork is the key to great science.
We share and discuss ideas freely.
We strive to build great collaborations, both within and outside of the group.
We contribute actively to the materials science community.