We are excited to announce our new Online AFLOW School for Materials Discovery, hosted by Texas A&M University.

Autonomous computational frameworks such as AFLOW are generating large databases that power materials discovery. The AFLOW.org repository is the largest of its kind, containing more than 3 million entries each characterized by 150+ different properties. The data has been employed for the discovery of two magnets – the first discovered by computational approaches – and six new high-entropy, high-hardness metal carbides.

Join us on July 12 – July 15, 2021 for a hands-on workshop on AFLOW. Topics covered include:

• High-throughput data generation
• Interaction with the AFLOW database
• Structure prototypes and crystal symmetry
• Thermal, vibrational, and elastic properties analysis
• Thermodynamic stability analysis
• Machine learning models for property prediction
• Modeling of disordered materials

Visit here to register for the AFLOW School: https://forms.gle/K3HJTRXwnkGWaVHy9