{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Oikawa S"],"funding":["MEXT | Japan Society for the Promotion of Science (JSPS)","MEXT | JST | Exploratory Research for Advanced Technology (ERATO)"],"pagination":["10424"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12669698"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["16(1)"],"pubmed_abstract":["Optimal transport theory, originally developed in the 18th century for civil engineering, has since become a powerful optimization framework across disciplines, from generative AI to cell biology. In physics, it has recently been shown to set fundamental bounds on thermodynamic dissipation in finite-time processes. This extends beyond the conventional second law, which guarantees zero dissipation only in the quasi-static limit and cannot characterize the inevitable dissipation in finite-time processes. Here, we experimentally realize thermodynamically optimal transport using optically trapped microparticles, achieving minimal dissipation within a finite time. As an application to information processing, we implement the optimal finite-time protocol for information erasure, confirming that "],"journal":["Nature communications"],"pubmed_title":["Experimentally achieving minimal dissipation via thermodynamically optimal transport."],"pmcid":["PMC12669698"],"funding_grant_id":["24H00834","JPMJER2204","23H01136","JPMJER2302","23H00467","22H01141"],"pubmed_authors":["Nakayama Y","Sagawa T","Ito S","Toyabe S","Oikawa S"],"additional_accession":[]},"is_claimable":false,"name":"Experimentally achieving minimal dissipation via thermodynamically optimal transport.","description":"Optimal transport theory, originally developed in the 18th century for civil engineering, has since become a powerful optimization framework across disciplines, from generative AI to cell biology. In physics, it has recently been shown to set fundamental bounds on thermodynamic dissipation in finite-time processes. This extends beyond the conventional second law, which guarantees zero dissipation only in the quasi-static limit and cannot characterize the inevitable dissipation in finite-time processes. Here, we experimentally realize thermodynamically optimal transport using optically trapped microparticles, achieving minimal dissipation within a finite time. As an application to information processing, we implement the optimal finite-time protocol for information erasure, confirming that ","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-06T07:10:29.057Z","creation":"2026-06-06T03:06:21.042Z"},"accession":"S-EPMC12669698","cross_references":{"pubmed":["41326366"],"doi":["10.1038/s41467-025-66519-9"]}}