Impelling performance and sustainability of materials
Our high throughput, experiment-driven, and intelligent material R&D solutions accelerate the advent and optimization of more efficient and more sustainable technologies.
State-of-the-art automated microfurnace and microanalyzer networks:
An original concept that allows the synthesis and acquisition of reliable physical properties of materials over a wide range of tuning parameters including temperature, pressure, atmosphere, and chemical composition.
Designed and developed by Chemia!
Tailor-made advanced material R&D solutions with an unprecedented speed and reliability, based on our reliable material database.
The significance of our material R&D solution is that it not only relies on material simulations, but it also relies on the rigorous experimentations data that are collected on the same materials. This reliable experimental database serves for improving the simulation models and fine-tunning physical and chemical properties of advanced materials.
The end materials can be used in various forms such as bulk disks, matrix materials, film coatings, and foam, with applications that are included but not limited to:
1- Energy sector: Materials for energy storage and conversion. A particular focus on renewable and alternative energy applications.
2- Aerospace and automotive sectors: Lightweight, strong, and durable materials.
3- Specialty chemicals industry: Tailored materials with thermal, electrical, thermo-electrical, and adhesive properties.
4-Electronics sector: Materials with specific magnetic, electrical, and thermal properties.
Our proprietary material discovery platform can carry out ultrarapid material R&D surveys that usually starts with cues from our ever-expanding material database and ends with active simulation-experimentation cycles that are optimized with reinforcement learning. This process maps the chemical properties of materials to their physical properties. After a number of iterations, it provides several candidate materials with a specific subset of properties along with the corresponding synthesis procedures.
Material discovery: Features
Ultra-rapid material synthesis
Rapid material characterization
Digital discovery with reinforcement learning
We provide customized materials R&D
Material database access
Contact us for a demo
On-demand materials R&D*,**
Please see our service offering below.
*Terms and conditions apply
** This service is only available in a reduced capacity, presently.
Industrial partnerships on material discovery projects
Such a partnership might be possible for material R&D projects outside the scope of our platform.
Academic collaborations on material discovery projects
Available to universities and research centres in Canada and abroad.
Meet the team!
Founder and CEO
Computational material discovery
R&D mechanics team (TeSMaQ)
R&D team at Université de Sherbrooke (UdeS)
Amaury Daniel Palao Garcia