# Spherical Channels for Modeling Atomic Interactions

@article{Zitnick2022SphericalCF, title={Spherical Channels for Modeling Atomic Interactions}, author={C. Lawrence Zitnick and Abhishek Das and Adeesh Kolluru and Janice Lan and Muhammed Shuaibi and Anuroop Sriram and Zachary W. Ulissi and Brandon C. Wood}, journal={ArXiv}, year={2022}, volume={abs/2206.14331} }

Modeling the energy and forces of atomic systems is a fundamental problem in computational chemistry with the potential to help address many of the world’s most pressing problems, including those related to energy scarcity and climate change. These calculations are traditionally performed using Density Functional Theory, which is computationally very expensive. Machine learning has the potential to dramatically improve the efﬁciency of these calculations from days or hours to seconds. We…

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