Predicting Voltammetry Using Physics-Informed Neural Networks.

J Phys Chem Lett · 2022 · PMC9084599 · PMID 35007069

Europe PMC DOI

hedged sentence

—

closest p

—

boldest claim

The sentences

possibly significantno p-value reported

Third, PINNs, as a subclass of neural network, can be easily trained on GPU or CPU with minimal modification and less picky regarding computer hardware and are usually trained on GPU to take advantage of recent advances in GPU computing powers. In addition, PINNs can utilize transfer learning from trained neural network for possibly significant time saving.

also in 649 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.