Technology r&D: Material science Molecular design Machine learning
" Dream like a child; build like a pro"- HM
Technology r&D: Material science Molecular design Machine learning
" Dream like a child; build like a pro"- HM
" Dream like a child; build like a pro"- HM
" Dream like a child; build like a pro"- HM
We develop both traditional as well as advanced sensors and actuators using soft polymeric materials. Applications include drones, transportation, multi-functional membranes for robotic systems, actuators for laser-based communication systems, sensors for micro-fluid systems.
We use a combination of ab initio methods combined with machine learning to accelerate the development of optimized materials and processes for modern technological solutions. Our molecular design approach relies on HTPC and machine learning. We aim to support our clients in the advancement of science and technology of multi-scale materials prediction.
Our capabilities include the modeling and simulation of multi-energy domain systems involving mechanical, thermal, fluids, chemical, electrical, and biological domains.
Applications include development of our patent-pending Integrated, Interactive, Internet-based, Lab-In-a-Book (LIB) engineering textbooks
Check out this great animation showing electrostatic field map of a polymer molecule. Produced using ab initio DFT computations.
Our analysis include robust experimental validation.
Copyright © 2024 VAGUS - All Rights Reserved.
Powered by GoDaddy
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.