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BEGIN:VEVENT
DTSTAMP:20260608T095653Z
DTSTART;VALUE=DATE-TIME:20260615T130000
DTEND;VALUE=DATE-TIME:20260615T140000
SUMMARY:WCPM\, Fraser Birks
TZID:Europe/London
UID:20260615-8ac672c49da8d90f019daa204e20016d@warwick.ac.uk
CREATED:20260604T083509Z
DESCRIPTION:Networking Lunch: Outside L5\, from 12:30pm - 1pm. Title: Und
 erstanding Plasticity in Amorphous Carbon with Machine-Learned Interatom
 ic Potentials Abstract: Amorphous carbon (a-C) is a coating material wit
 h many applications\, commonly selected for its high hardness\, low fric
 tion coefficient and high wear resistance. Generally\, amorphous carbon 
 is considered a brittle material\, with cracks propagating at relatively
  low tensile stresses due to the presence of structural defects. However
 \, when defect-free thin films are studied\, experiments have shown that
  a-C can exhibit an unusual combination of high stiffness (~210 GPa) and
  unexpectedly large failure strain (~11%) [1]. At present\, it is still 
 unclear what structures and mechanisms in these films give rise to such 
 anomalous mechanical behaviour\, making this fertile ground for atomisti
 c studies using realistic machine-learned interatomic potentials (MLIPs)
 . In this talk\, I will first give an overview of the history of atomist
 ic modelling\, introducing MLIPs and discussing their strengths and weak
 nesses. I will then present the results from two studies [2\, 3] which c
 ombine MLIPs with molecular dynamics and arclength continuation to eluci
 date the underlying mechanisms governing plasticity in a-C. I will furth
 er show that\, with careful structure preparation\, it is possible to re
 produce the experimental stress-strain response\, opening the door to di
 rect collaboration between theorists and experimentalists on this import
 ant class of materials. [1] Yoon\, J.\, Jang\, Y.\, Kim\, K.\, Kim\, J.\
 , Son\, S.\, & Lee\, Z. (2022). In situ tensile and fracture behavior of
  monolithic ultra-thin amorphous carbon in TEM. Carbon\, 196\, 236–242. 
 https://doi.org/10.1016/j.carbon.2022.04.062 [2] Birks\, F.\, Ghanem\, I
 .\, Pastewka\, L.\, Kermode\, J.\, & Buze\, M. (2026). Resolving structu
 ral avalanches in amorphous carbon with arclength continuation. Physical
  Review Letters. https://doi.org/10.1103/6n5m-rxc1 [3] Birks\, F.\, & Ke
 rmode\, J. (2026). [Manuscript in preparation]. Bio: Fraser is a PhD res
 earcher in Computational Materials Science at the ÉñÂí¸£ÀûӰƬ 
 and a member of the Warwick Centre for Predictive Modelling\, where his 
 work focuses on machine-learned interatomic potentials (MLIPs)\, atomist
 ic simulations\, and the mechanics of materials failure. Before joining 
 Warwick\, Fraser studied Natural Sciences at the University of Cambridge
 \, graduating with First Class honours and receiving multiple academic p
 rizes\, including the Wheatley Prize and the Part IB Physics Practical P
 rize. His research combines computational physics\, applied mathematics\
 , and machine learning to better understand how materials behave at the 
 atomic scale. Fraser has contributed to open-source scientific software 
 development\, published research in leading journals including Physical 
 Review Letters\, and presented award-winning work on machine learning fo
 r atomistic simulations at international conferences and national compet
 itions such as STEM for BRITAIN\, where he received a silver medal in Ph
 ysics. Alongside his research\, Fraser is passionate about science commu
 nication and outreach\, regularly speaking at public events\, student co
 nferences\, and engagement activities exploring the role of AI and machi
 ne learning in modern physics and materials science.
LOCATION:
CATEGORIES:WCPM
LAST-MODIFIED:20260604T083509Z
ORGANIZER;CN=Jin Kang:
END:VEVENT
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