{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["10(9)"],"submitter":["Nishioka D"],"pubmed_abstract":["Molecule-based reservoir computing (RC) is promising for achieving low power consumption neuromorphic computing, although the information-processing capability of small numbers of molecules is not clear. Here, we report a few- and single-molecule RC that uses the molecular vibration dynamics in the para-mercaptobenzoic acid (pMBA) detected by surface-enhanced Raman scattering (SERS) with tungsten oxide nanorod/silver nanoparticles. The Raman signals of the pMBA molecules, adsorbed at the SERS active site of the nanorod, were reversibly perturbated by the application of voltage-induced local pH changes near the molecules, and then used to perform time-series analysis tasks. Despite the small number of molecules used, our system achieved good performance, including >95% accuracy in various nonlinear waveform transformations, 94.3% accuracy in solving a second-order nonlinear dynamic system, and a prediction error of 25.0 milligrams per deciliter in a 15-minute-ahead blood glucose level prediction. Our work provides a concept of few-molecular computing with practical computation capabilities."],"journal":["Science advances"],"pagination":["eadk6438"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10901377"],"repository":["biostudies-literature"],"pubmed_title":["Few- and single-molecule reservoir computing experimentally demonstrated with surface-enhanced Raman scattering and ion gating."],"pmcid":["PMC10901377"],"pubmed_authors":["Tsuchiya T","Terabe K","Nishioka D","Shingaya Y","Higuchi T"],"additional_accession":[]},"is_claimable":false,"name":"Few- and single-molecule reservoir computing experimentally demonstrated with surface-enhanced Raman scattering and ion gating.","description":"Molecule-based reservoir computing (RC) is promising for achieving low power consumption neuromorphic computing, although the information-processing capability of small numbers of molecules is not clear. Here, we report a few- and single-molecule RC that uses the molecular vibration dynamics in the para-mercaptobenzoic acid (pMBA) detected by surface-enhanced Raman scattering (SERS) with tungsten oxide nanorod/silver nanoparticles. The Raman signals of the pMBA molecules, adsorbed at the SERS active site of the nanorod, were reversibly perturbated by the application of voltage-induced local pH changes near the molecules, and then used to perform time-series analysis tasks. Despite the small number of molecules used, our system achieved good performance, including >95% accuracy in various nonlinear waveform transformations, 94.3% accuracy in solving a second-order nonlinear dynamic system, and a prediction error of 25.0 milligrams per deciliter in a 15-minute-ahead blood glucose level prediction. Our work provides a concept of few-molecular computing with practical computation capabilities.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Mar","modification":"2025-04-22T06:32:34.14Z","creation":"2025-04-05T21:49:44.988Z"},"accession":"S-EPMC10901377","cross_references":{"pubmed":["38416821"],"doi":["10.1126/sciadv.adk6438"]}}