Skip to content
@materialsvirtuallab

Materials Virtual Lab

The Materials Virtual Lab is dedicated to the application of first principles calculations and informatics to accelerate materials design.

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 materials science, computer science and machine learning 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.

Vision

Our vision is to be a world-class computational materials group pioneering the application of informatics techniques in materials study and design.

Mission

  • 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.

Values

Integrity

  • 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.

Excellence

  • 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.

Teamwork

  • 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.

Pinned

  1. maml maml Public

    Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.

    Jupyter Notebook 340 74

  2. matgl matgl Public

    Graph deep learning library for materials

    Python 221 54

  3. pymatgen-analysis-diffusion pymatgen-analysis-diffusion Public

    This add-on to pymatgen provides tools for analyzing diffusion in materials.

    Python 80 52

  4. monty monty Public

    This repository implements supplementary useful functions for Python that are not part of the standard library. Examples include useful utilities like transparent support for zipped files etc.

    Python 67 48

  5. nano281 nano281 Public

    Data Science for Materials Science

    Jupyter Notebook 56 27

  6. nano266 nano266 Public

    Repository for UCSD NANO 266 Quantum Mechanical Modelling of Materials

    Python 19 21

Repositories

Showing 10 of 33 repositories
  • maml Public

    Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.

    Jupyter Notebook 340 BSD-3-Clause 74 6 8 Updated Jun 6, 2024
  • monty Public

    This repository implements supplementary useful functions for Python that are not part of the standard library. Examples include useful utilities like transparent support for zipped files etc.

    Python 67 MIT 48 7 6 Updated Jun 5, 2024
  • flamyngo Public

    Flask frontend for MongoDB

    Python 15 BSD-3-Clause 7 0 4 Updated Jun 5, 2024
  • pymatgen-analysis-diffusion Public

    This add-on to pymatgen provides tools for analyzing diffusion in materials.

    Python 80 BSD-3-Clause 52 7 4 Updated Jun 3, 2024
  • matgl Public

    Graph deep learning library for materials

    Python 221 BSD-3-Clause 54 2 0 Updated May 20, 2024
  • matcalc Public

    A python library for calculating materials properties from the PES

    Python 42 BSD-3-Clause 10 0 1 Updated May 16, 2024
  • matgenb Public

    Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.

    Jupyter Notebook 207 BSD-3-Clause 138 1 0 Updated May 15, 2024
  • matgenie Public

    Web interface to pymatgen

    Python 4 1 0 2 Updated Apr 8, 2024
  • nano266 Public

    Repository for UCSD NANO 266 Quantum Mechanical Modelling of Materials

    Python 19 BSD-3-Clause 21 0 0 Updated Mar 14, 2024
  • nano281 Public

    Data Science for Materials Science

    Jupyter Notebook 56 BSD-3-Clause 27 0 1 Updated Feb 21, 2024

People

This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages

Loading…

Most used topics

Loading…