Discovery of heterogenous and homogenous catalysts for any reaction
Centralized database of high quality molecular data
Beyond state-of-the-art molecular data correction
Novel topologies and vectorization techniques that exploit element-wise vector emergence, property prediction and energy levels
Deep Learning vector search enables us to make smart transforms through high dimensional molecular space, multinomial, custom objective functions means the optimizers compute novel reaction pathways without combinatorial explosions while excluding blacklisted fragments and energy traps
Simulation workers that are equipped with GPUs will execute up to 5000 times faster with our GPU implementations of common tasks including the Schrödinger equations
Areas of collaboration include:
- Chemical Manufacturers who would like quantum chemistry simulations done
- Cloud providers who can provide me with computing power
Please contact me: alain@atomictessellator.com