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DTSTART:19960101T000000 END:STANDARD BEGIN:STANDARD TZNAME:GMT TZOFFSETFROM:+0100 TZOFFSETTO:+0000 DTSTART:19961027T020000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260427T064321Z DTSTART;VALUE=DATE-TIME:20250113T130000 DTEND;VALUE=DATE-TIME:20250113T140000 SUMMARY:WCPM: Naomi Hirayama\, ÌÇÐÄTV TZID:Europe/London UID:20250113-8ac672c693cda1990193cfe3dbdb0c4e@warwick.ac.uk CREATED:20250102T123647Z DESCRIPTION:Location: A2.05B (there will be an informal sandwich lunch ou tside D2.02 at 12.30) Time: 13.00-14.00 To join this meeting online clic k here. Title: Theoretical Study on Local Structures in Fe-based Amorpho us Alloys Abstract: Local atomic arrangements\, such as short-range orde r and medium-range order\, are crucial in determining the physical prope rties of amorphous materials. Direct experimental observation of these m icroscopic structures is challenging\; nevertheless\, computational appr oaches such as molecular dynamics simulations afford valuable insights. This study investigates Fe–Si–B amorphous alloys\, recognised for their excellent soft magnetic properties\, making them promising candidates fo r high-efficiency motor core materials. However\, their challenging manu facturability has limited their widespread adoption. Addressing this iss ue requires a deeper understanding of the origins of their mechanical pr operties. In our study\, melt-quench simulations were conducted using a machine learning potential based on the Gaussian approximation potential (GAP). The radial distribution functions obtained from these simulation s closely matched the experimental data. The results revealed that B-cen tred clusters predominantly exhibit anti-prism and trigonal prism struct ures\, while the Si-centred clusters are characterised by icosahedral an d related geometries. These cluster structures formed rapidly near the g lass transition temperature during quenching and subsequently coalesced into networks. The modes of connection between cluster pairs—vertex\, ed ge\, face\, and multipoint sharing—were found to depend on the cluster t ype. The hierarchical ordering observed in these alloys should play a cr ucial role in understanding their mechanical behaviour. This study highl ights the potential of GAP for uncovering the structural properties of a morphous alloys\, offering a pathway to improve their manufacturability and broader applicability. Bio: Background · 2020–Present: Associate Pro fessor (Next Generation Tatara Co-Creation Centre\, Shimane University) · 2009–2020: Project Researcher (University of Tokyo\, Osaka University\ , and others)\; Assistant Professor (Tokyo University of Science\, Tokyo Metropolitan University) · March 2009: PhD in Science (Ochanomizu Unive rsity\, Tokyo\, Japan) Research Field · Amorphous alloys: Investigation of structural and mechanical properties using machine-learning molecular dynamics simulations · Thermoelectric materials: Calculation of electro nic and thermoelectric properties based on first-principles calculations . LOCATION:A2.05B CATEGORIES:WCPM,Women in Science LAST-MODIFIED:20250102T123647Z ORGANIZER;CN=Sarah Jarratt: END:VEVENT END:VCALENDAR