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SUMMARY:Material Discovery via Machine Learning and Research Lab Automatio
 n - Professor Yang Hao\, Queen Mary University of London
DTSTART:20251010T130000Z
DTEND:20251010T140000Z
UID:TALK231295@talks.cam.ac.uk
CONTACT:46601
DESCRIPTION:The discovery of functional materials is often hindered by vas
 t compositional search spaces\, complex structure-property relationships\,
  and labour-intensive experimental workflows. In this talk\, I present a d
 ata-driven framework that unites machine learning (ML)\, automated synthes
 is\, and high-throughput characterisation to accelerate the exploration of
  disordered and dielectric perovskite materials for wireless communication
  and biosensing applications.\nAt the core of this approach is a robotic m
 aterials discovery platform capable of ML-guided candidate selection\, rap
 id sintering\, and GHz-range dielectric property evaluation\, reducing the
  experimental cycle from days to minutes. Complementing this experimental 
 advance\, we introduce a formula graph-based self-attention neural network
  that bridges stoichiometry-only and structure-informed descriptors for pr
 operty prediction. This hybrid model exhibits strong generalizability\, en
 abling the discovery of complex materials such as those with epsilon-near-
 zero behaviour.\nFurthermore\, we explore unsupervised learning strategies
  to extract interpretable fingerprints of disorder\, crystal symmetry\, an
 d perovskite formability directly from chemical composition. These embeddi
 ngs underpin a scalable analogue-based recommendation engine that has succ
 essfully mined over 600\,000 hypothetical compositions with a >90% hit rat
 e.\n\nProfessor Yang Hao is the QinetiQ/Royal Academy of Engineering Resea
 rch Chair at Queen Mary University of London. His work has been recognized
  both nationally and internationally through his books “Antennas and Rad
 io Propagation for Body-Centric Wireless Communications” and “FDTD Mod
 eling of Metamaterials: Theory and Applications” (Artech House\, USA)\, 
 as well as through highly cited papers published in leading journals\, inc
 luding Nature Communications\, Advanced Science\, Physical Review Letters\
 , Applied Physics Letters\, IEEE Proceedings\, and Transactions.\nHis rese
 arch on transformation optics and metamaterials has led to many tangible b
 enefits for a range of industrial products. One example is metalens antenn
 a designs for satellite communications. This technology has been fully sco
 ped and is currently being commercialised by the startup Isotropic System 
 Limited (All.Space).\nProf. Hao has won many accolades\, including the pre
 stigious IEEE John Kraus Antenna Award\, the European EurAAP Antenna Award
 \, the AF Harvey Research Prize\, the BAE Chairman’s Silver Award\, and 
 the Royal Society Wolfson Research Merit Award. He was an AdCom Member and
  currently serves as the Chair of the Publication Committee for the IEEE A
 ntennas and Propagation Society. Prof. Hao is an elected Fellow of the Roy
 al Academy of Engineering\, IEEE\, and IET.\n\n
LOCATION:Department of Engineering - LR5
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