Kohn-Sham Equations as Regularizer: Building Prior Knowledge into Machine-Learned Physics (bibtex)

by Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, and Kieron Burke

Reference:

Kohn-Sham Equations as Regularizer: Building Prior Knowledge into Machine-Learned Physics Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, and Kieron Burke, Phys. Rev. Lett. 126, 036401 (2021).

Bibtex Entry:

@article{LHPS20,
		Pub-num 	   = {206},
		title 		   = {Kohn-Sham Equations as Regularizer: Building Prior Knowledge into Machine-Learned Physics},
		author 		   = {Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D. Cubuk, Patrick Riley, and Kieron Burke},
		journal 	   = {Phys. Rev. Lett.},
		volume 		   = {126},
		issue 		   = {3},
		pages 		   = {036401},
		numpages 	   = {7},
		year 		   = {2021},
		month 		   = {Jan},
		publisher 	   = {American Physical Society},
		doi 		   = {10.1103/PhysRevLett.126.036401},
		url 		   = {https://link.aps.org/doi/10.1103/PhysRevLett.126.036401},
		arXiv		   = {arXiv:2009.08551},
		keywords 	   = {ML, Machine learning},
}