Release 2023.4.13 contains several new features, bugfixes, and improvements. We highlight (1) Pro Search functionality with autocomplete for MongoDB queries; (2) the ability to sort columns in all entity explorer tables - e.g. Materials, Jobs, Workflows; and (3) the ability to name jobs based on the name of the corresponding Material or its other keys.
Release 2023.4.13 contains several new features, bugfixes, and improvements. We highlight (1) Pro Search functionality with autocomplete for MongoDB queries; (2) the ability to sort columns in all entity explorer tables - e.g. Materials, Jobs, Workflows; and (3) the ability to name jobs based on the name of the corresponding Material or its other keys.
We highlight the added ability to run "pro" level search queries based on native MongoDB query syntax. We implemented a autocomplete-based suggestions that highlight the keys that are present in the documents and the native query operators available. In the example below we search for all materials in the bank that contain Zn and have more than 10 atoms in the unit cell. We then also save the query for future reuse by all account/team members.
We highlight the ability to sort tables based on one or multiple columns. In the demonstration below we sort the items in the bank Materials collection by their creation date first, then by formula and lattice/symmetry type.
We implemented a way to use data contained in materials to name jobs correspondingly. This is done with the help of templating the name using Jinja syntax. In the example below we use the `formula` key from each of the two materials that are selected during the job creation to prepare and name the jobs accordingly. Any other keys present in the material object - e.g. name, description, tags - can be used instead by modifying the template variable.
Try online at https://platform.mat3ra.com/