Descriptors for electron and hole charge carriers in metal oxides
Talk, MRS Spring-Fall Virtual Meeting 2020, Online
Recorded presentation available here.
Talks and presentations
(Invited) Combining chemical heuristics, automated calculations and machine learning in the search for solar active materials
Invited talk, University College London, Department of Chemistry, UCL, UK
UCL Department of Chemistry Seminar.
(Invited) Low cost descriptors for surrogate modelling of energy generation and storage
Invited talk, STFC, SciML group, Online
Slides available here.
Virtual high-throughput screening of photoactive quaternary oxides
Talk, MRS Fall Meeting 2019, Boston, MA
Slides available here.
Computational search of anion redox Li-ion battery composition space
Talk, MRS Fall Meeting 2019, Boston, MA
Slides available here.
Descriptors for the nature of electron and hole charge carriers from first-principles calculations data
Talk, MRS Fall Meeting 2019, Boston, MA
Slides available here.
Combining chemical heuristics, machine Learning, and first-principles calculations for rapid materials screening
Talk, RSC MC14 conference, Birmingham, UK
Presented at the 14th Royal Society of Chemistry (RSC) Materials Chemistry conference.
(Invited) Chemical heuristics, ML and first-principles calculations for high-throughput materials discovery
Invited talk, Agency for Science, Technology and Research(A*STAR) Departmental Seminar, Singapore
Departmental seminar given at A*STAR, Singapore.
(Invited) High-throughput discovery of quaternary oxide materials using first-principles machine learning
Invited talk, National University of Singapore, Department of Research Science and Engineering, Singapore
Departmental seminar, hosted by Dr Piero Canepa.
(Invited) Property prediction using first-principles machine learning
Invited talk, Challenges in Computational Materials Science Workshop, Yonsei University, Korea
Invited talk at workshop between Materials Science departments of various universities in Seoul, hosted at Yonsei University.
(Invited) Predicting optical band gaps in high throughput
Invited talk, CECAM workshop on accelerating materials discovery by smart high-throughput computations, Liverpool, UK
Slides available here.
Supercharging the materials discovery process with machine learning
Talk, University of Bath High Performance Computing Symposium, Bath, UK
I won the prize for best use of machine learning. You can read the write up on the University of Bath HPC pages here.
Machine learning and first principles calculations for materials discovery
Talk, MRS Spring Meeting 2018, Phoenix, AZ
Using hierarchical workflows for low-cost materials screening
Talk, RSC Solid State Chemistry Group Christmas Meeting, Reading, UK
Low-cost high-throughput screening of all inorganic compounds
Talk, RSC MC13 Conference, Liverpool, UK
Presented work relating to our Chem paper on screening all inorganic materials.
High-throughput computation of all inorganic materials
Talk, CECAM iPolymoprhs Conference, San Sebastian, Spain
My first talk at an international conference could not have been in a more beautiful location.
Using chemical heuristics to filter the search space of possible compounds
Talk, SNU Workshop on Electronic Structures of Materials, Seoul National University (SNU), Korea
A small workshop at SNU, with delegates also from Yonsei University and Ewha Women’s University.