Researchers Combine AI & Quantum Mechanics To Solve Renewable Energy Problems

Researchers Combine AI & Quantum Mechanics To Solve Renewable Energy Problems

Researchers Combine AI & Quantum Mechanics To Solve Renewable Energy Problems. Facebook AI and the Carnegie Mellon University (CMU) have announced the Open Catalyst Project, a collaboration intended to use AI.

The sun doesn’t always shine and to store energy[batteries] in its absence is a costly affair. So, with all this talk about going green, how is it possible to incentivise people towards futuristic yet unsustainable and expensive goals? 

To address this challenge, Facebook AI and the Carnegie Mellon University (CMU) have announced the Open Catalyst Project, a collaboration intended to use AI to accelerate quantum mechanical simulations by 1,000x in order to discover new electrocatalysts needed for more efficient and scalable ways to store and use renewable energy.

The goal of the Open Catalyst Project, stated the Facebook AI team, is to discover low-cost catalysts in order to find solutions that are good alternatives of current solutions that are inefficient or rely on rare and expensive electrocatalysts like platinum, limiting their practicality. 

FB and CMU have even released the Open Catalyst 2020 (OC20) dataset and are also providing baseline models for the community to benchmark approaches against state-of-the-art and compare progress..

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