<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/50EB51AD-0B74-474F-904F-D7334EC9D2B0" ns1:id="50EB51AD-0B74-474F-904F-D7334EC9D2B0"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/979460BC-8C1E-40B9-A594-8205BED9B896" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/75B2C02E-38CD-4787-ABBE-459732D1048B" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/75B2C02E-38CD-4787-ABBE-459732D1048B" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2027-03-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/0CB99CC8-C83F-4673-A7C4-E500BFE40A49" ns1:rel="FUND" ns1:start="2025-03-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10120912</ns2:identifier></ns2:identifiers><ns2:title>University of Strathclyde and Stone Marine Propulsion Limited KTP24_25 R1</ns2:title><ns2:status>Active</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To develop an automated process for large ship propeller design, utilising neural networks, computational fluid dynamics, and parametric modelling, to customise and optimise designs to suit client requirements.</ns2:abstractText></ns2:project>