ApeironAI software allows users to build computational workflows for simulating material properties simply by dragging and dropping blocks of code into the interface. It enables inputs/outputs interoperability for a large variety of open-source codes (such as SIESTA, VASP, Quantum ESPRESSO, Abinit, LAMMPS, PAOFLOW, Wannier90, KWANT, LSQUANT, PyTorch...) and provides an end-to-end computing solution for accessing physical properties of materials based on initial structural and chemical parameters. It further extends the capability of existing simulation tools to study material structures with imperfections (disorder) which can lead to quantitative data and possible reverse engineering. It also allows unique access to properties of large-scale models such as digital twins, digital copies of as-grown materials. The software is developed entirely from scratch using React, Python, and NumPy, serving as a workflow orchestration tool that integrates with third-party applications without distributing them.

ApeironAI's Unique Features

• Ease of Use: Reduces training time from months to days with an intuitive interface developed using Reacts frameworks and heavily tested in production environment.
• Advanced Capabilities: Includes cutting-edge tools tuned within the state of the start for achieving large-scale quantum simulations heading toward the goal of material's digital twins.
• Accessible and Private on demand: It includes an online cost-accessible version which targets a broad range of users but it can also be deployed offline for ensuring IP protection.
• Reliable Deployment: Ensures reproducibility and ease of use with Docker containerization.