Can machines learn density functionals? Past, present, and future of ML in DFT (bibtex)

by Ryosuke Akashi, Mihira Sogal, and Kieron Burke

Reference:

Can machines learn density functionals? Past, present, and future of ML in DFT Ryosuke Akashi, Mihira Sogal, and Kieron Burke, Chapter in Machine Learning in Condensed Matter Physics - Significance, Challenges, and Future Directions (2025).

Bibtex Entry:

@inbook{ASB25,
		Pub-num 	   = {236},
     		Title 		   = {Can machines learn density functionals? Past, present, and future of ML in DFT},
		Author 		   = {Ryosuke Akashi, Mihira Sogal, and Kieron Burke},
		Booktitle 	   = {Machine Learning in Condensed Matter Physics - Significance, Challenges, and Future Directions},
	%	volume = {16},
	%	number = {4},
	%	pages = {939-947},
		year = {2025},
	%	doi = {10.1021/acs.jpclett.4c02852},
   	%	note ={PMID: 39835411}
}