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It is a next-generation payroll system that fundamentally supports the efficiency of business operations essential to management strategies, starting with various advanced features.
Our company not only provides implementation support but also offers customization services. Please feel free to consult with us. (Customization is limited to the ERP version.)
![[Data] Quantum ESPRESSO Interface](https://image.mono.ipros.com/public/product/image/9db/2000575264/IPROS51838704834977836700.png?w=280&h=280)
By performing it on a single graphical interface, calculations can be done efficiently!
This document introduces the Quantum ESPRESSO Interface handled by Schrodinger's "Materials Science Suite." Through an official partnership, integration between the molecular simulation environment "Maestro" and "Quantum ESPRESSO" has been realized. By performing advanced quantum simulations from crystal structure creation to execution and analysis on a single graphical interface, efficient computational work is possible. Furthermore, calculations using the Effective Screening Medium method allow for the electronic state calculations of various surface-solvent systems, including electrode surface reactions. [Contents] ■ Nanotechnology and Computational Science ■ About Quantum ESPRESSO ■ Main Features of the Quantum ESPRESSO Interface ■ Maestro and Python API ■ Effective Screening Medium Method (ESM Method) *For more details, please refer to the PDF document or feel free to contact us.
![[User Case Presentation] Development of Next-Generation Lithium-Ion Batteries](https://image.mono.ipros.com/public/product/image/b7d/2000731351/IPROS89946548373158359440.jpeg?w=280&h=280)
We will introduce a case of innovative material search implemented in the development of next-generation lithium-ion batteries by the CEO of Eonix.
Eonix is a startup focused on the rapid design of next-generation materials for energy storage technologies targeting home appliances, grid storage, and electric vehicles. CEO Don DeRosa, Ph.D., explains how combining high-throughput screening and physics-based modeling can transform the material discovery process for building better batteries.
