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Introducing Matlantis-PFP v9: Benchmarking on MLIP Arena and Improving Experimental Agreement with r2SCAN

Nontawat Charoenphakdee
By combining deep learning with numerical computation, PFN develops materials simulation systems that achieve faster and more accurate predictions of material properties—accelerating materials discovery and development.


Nontawat Charoenphakdee


Nontawat Charoenphakdee


Hideaki Imamura

Ryo Nagai


Shigeru Iwase


Kohei Shinohara


So Takamoto


Kosuke Nakago

Ryuichiro Ishitani
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