G Simm, R Pinsler… - … on Machine Learning, 2020 - proceedings.mlr.press
… To this end, we introduce a new RL environment called MOLGYM in Section 5.1. It comprises a set of molecular design tasks, for which we provide baselines using quantum-chemical …
Automating molecular design using deep reinforcement learning (RL) has the potential to greatly accelerate the search for novel materials. Despite recent progress on leveraging graph …
D Mathieu, R Claveau, J Glorian - Theoretical and Computational …, 2022 - Elsevier
Due to their lack of maturity, models for evaluating sensitivities from molecular structure have so far been relatively little used for the design of new energetic materials. The selection of …
By applying machine learning to molecular design, researchers aim to tame vast molecular search spaces and accelerate the discovery of useful structures. A notable new approach, …
… The State of the System To calculate the state of some experimental setup x that has an initial state from the SPDC process |Ψ0⟩ = |0⟩a|0⟩b + |0⟩c|0⟩d we define the set of operations …