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Release 2023.3.22 contains several new features, bugfixes, and improvements. We highlight: (1) added non-uniformity in all reciprocal cell dimensions for k-point density; (2) ability to save search queries for both Quick Search and Advanced Search; and (3) optimize registration + Explorer tables to speed up UX.
Release 2022.12.15 contains several bugfixes and improvements. The 3D Materials viewer is now centering the structure in the view when multiple structures are present in the Job Designer.
Release 2022.11.17 contains several updates focused on the new workflow - Valence Band Offsets. This workflow is designed for 2D materials and heterostructures, with MoS2/WS2 as the example use case. Multiple bug fixes were also added. Love materials and coding?
Release 2022.11.3 contains several updates focused on improving platform UI (spotlight search in the header) and performance. Multiple bug fixes were also added.
Release 2022.9.9 contains several updates focused on improving UI for Workflows. Multiple bug fixes and performance improvements were also added.
Release 2022.8.26 contains several updates focused on improving UI for Subworkflows and Units based on user feedback. Also, on cluster-007 master node was resized, and the configuration of the D queue was updated. In addition, multiple bug fixes and minor improvements ...
Release 2022.8.18 contains several updates. First is open-sourcing some of our codebase into microservices with Entity definitions for the WAMPI stack (Workflow, Application, Model, Property, Infrastructure) ADe.js, ProDe.js, MoDe.js, and WoDe.js (more details below).
Considering FAIR data principles and the progression towards data-driven science, it is only logical to strive for "machine-actionable" and fully reproducible scientific records.
We all constantly make comparisons against our mental model; one might even claim that our day-to-day, moment-to-moment lives are dominated by our interpretation of our experiences, rather than some objective reality.
For the 2022.7.21 release, we are near completing the splitting of our codebase to multiple “micro-services” to be open-sourced in the near term.
Any product should start with a customer in mind. It is necessary to focus on the needs, challenges, and pain points of the customers to really move the needle for them (and for your company) in the long run.
Or why the 2% have 98% of the world's wealth.
For the 2022.6.16 release, we bring some quality-of-life improvements and cosmetic adjustments to the Mat3ra platform!
In the 2022.6.2 release, we bring an often requested feature! Navigating to the bank workflows now focuses on curator-provided workflows by default!
In the 2022.5.19 release, we introduce material repetitions along independent axes in the materials viewer! We also modernized our underlying 3D visualization library, which will enable future improvements.
As part of the 2022.5.5 release of Mat3ra, we upgraded Material-UI for our platform to version >= 4 and introduced some minor bug fixes.
For the 2022.4.21 release of Mat3ra, we bring some quality-of-life improvements to the materials editor! Materials are now centered in the 3D view and there is now an interactive switch to add atom labels to the scene.
Digital materials R&D is an innovative up-and-coming technological area that is rapidly gaining ground because of its ability to cut development times and greatly reduce costs.
As part of the 2022.3.24 release of Mat3ra, we upgraded our web stack to React 16!
Our 2022.3.10 release brings an output file preview bug fix and addition of the DeePMD software executable to the Mat3ra platform!
Our 2022.2.23 release brings new versions of Quantum ESPRESSO (7.0) and Intel Stack to the Mat3ra platform!
Our 2022.2.10 release brings new versions of LAMMPS (7 Jan 2022) and GROMACS (2021.5) to the Mat3ra platform!
The funding follows the surge including a 3X customer growth ...
As part of the 2022.2.4 release, we are proud to announce our re-branding campaign from Exabyte.io to Mat3ra.com!
Implemented the non-periodic logic inside materials-designer, performance improvements and bug fixes.
Change modulefile naming convention to semantic version numbering. Update git-lfs to 2.10
Use google colab with API example notebooks
Making materials R&D more FAIR and fair at the same time.
Exabyte.io, the company unlocking the rapid development of new materials for Global 2000 companies.
The Right Approach to Digital Transformation
A quick recap of the past and future outlook
Oracle Cloud and Exabyte Partnership Providing Materials Modeling to Scientists Around the Globe
Our lives are full of surprises and things that no one would consider possible. Yet they still happen, because we believe in them.
Cloud computing recently developed into a viable alternative to on-premises systems for executing high-performance computing (HPC) applications.
As a natural continuation of our prior work on benchmarking cloud platforms for high-performance computing (HPC) applications in materials modeling ...
Benchmarking the latest generation of cloud hardware for materials modeling
Our recent manuscript: https://arxiv.org/abs/1808.10011 Phonon is a collective excitation in a periodic arrangement of atoms or molecules in like solid crystals and some liquids. Often designated as a quasiparticle it represents an excited state…
Full article at https://arxiv.org/abs/1808.05325
We are often asked about the security of cloud-based solutions for storing mission-critical information since cloud computing is initially perceived as a threat.
A practical recipe for performing first-principles calculations of materials. During the last couple of years we were hard at work building the product, working "...
California is a state within the US. Six thousand miles away is Tatarstan — also a state within Russia and my Motherland. In the Fall of 2010 ...
And how it compares with Azure Standard_H16r
And why it matters for the Enterprise On Sep 23, 1992 the “Divider” marked the last nuclear test to date conducted by the United States. It was the 928th nuclear test at the Nevada Test Site and one that led to unexpected consequences…
Why it is increasingly important to target hard technological problems.
The article covers motivation for starting exabyte.io, what we do and why, and the future outlook
35,000 CPU, or ~10,000 laptops - all available within 10 min, enabling the most advanced exploration methods for new materials Can we do better?
