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Posts by Edward Linscott

During my fellowship, I'll be applying everything I've learned over the past 11 years to search for novel solar cell materials. I'm really looking forward to meeting all my new colleagues at #Canterbury and @macdiarmidinsti.bsky.social, and to contributing to #materialsscience innovation in πŸ‡³πŸ‡Ώ!

4 months ago 0 0 0 0

It's been over 11 years since I left NZ, which has simultaneously felt like an age and the blink of an eye. Many, many thanks to all my wonderful friends & colleagues (far too many to name here) from @cam.ac.uk πŸ‡¬πŸ‡§, EPFL πŸ‡¨πŸ‡­, and @psich.bsky.social πŸ‡¨πŸ‡­. Let me know if you fancy a holday/sabbatical in NZ πŸ˜‰

4 months ago 0 0 1 0

Delighted to announce that I've been awarded a #Marsden Fast-Start grant and will be moving back to New Zealand πŸ‡³πŸ‡Ώ to start a position in my hometown at the University of Canterbury!

4 months ago 4 2 2 0

Many thanks to her examiners Hannes JΓ³nsson @haskoliislands.bsky.social , Ismaila Dabo, and Sara Bonella @cecamevents.bsky.social, and her co-supervisor Nicola Marzari @materials-epfl.bsky.social

4 months ago 0 0 0 0

As further evidence of her success, in the new year Marija will start as a postdoc in the group of Karsten Reuter at FHI-Berlin @thdept-fhi-mpg.bsky.social

4 months ago 2 0 2 0
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Predicting the suitability of photocatalysts for water splitting using Koopmans spectral functionals: The case of TiO$_2$ polymorphs Photocatalytic water splitting has attracted considerable attention for renewable energy production. Since the first reported photocatalytic water splitting by titanium dioxide, this material remains…

Many, many congratulations to Marija for all her hard work leading to this moment. Together, we have been working on applying Koopmans functionals to photocatalysis. You can find some of her work here arxiv.org/abs/2412.17488 (and more manuscripts are in the pipeline!)

4 months ago 0 0 1 0
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Proud supervisor alert 🚨 My first PhD student, Marija Stojkovic, passed her PhD private defence! @materials-epfl.bsky.social

4 months ago 2 0 1 0

/usr/share/dict/words or /usr/dict/words β€” though I doubt crankymegafishstingray makes the cut...

5 months ago 1 0 1 0

Many thanks to organisers Iurii Timrov, @oregandavid.bsky.social , @jjbaldovi.bsky.social , and Young-Woo Son, and to Psi-k, MARVEL, @uv.es , and @icmoluv.bsky.social for sponsoring such an awesome event! πŸ™

6 months ago 1 0 0 0
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I have returned to Switzerland with a lot of new ideas (but also some resentment re: Swiss vs Spanish weather!)

6 months ago 0 0 1 0
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I've just spent a week in #Gandia at a workshop on determining #Hubbard parameters. It was so nice to have so many people passionately engaging in this admittedly niche but important topic that increasingly underpins a lot of modern materials design and discovery.

6 months ago 1 1 1 0

I was shocked to discover that at a conference with only 1300 participants I'm one of only 3 people from Ocenia! I'm a proud representative, but NZ can do so much more!

7 months ago 0 0 0 0
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Absolute pleasure to be back in Lausanne for Psi-k to give an invited talk β€” even if Nicola Marzari and Leeor Kronik stole a lot of my thunder with (excellent) plenary talks! If you're at Psi-k come along to Room 4 at 10:15 to find out more about our work on Koopmans functionals.

7 months ago 1 0 1 0

I'm currently working on two applications, writing one in @typst.app while for the other I have to use a #LaTeX template. It's really highlighting the advantages of @typst.app (instant preview πŸ”, clean syntax, no more blackslashes!) β€” and makes their absence in #LaTeX sooooo much more painful!

10 months ago 7 1 0 0

πŸ“£ Workshop reminder for 'The determination of Hubbard parameters: progress, pitfalls, and prospects'.

GandΓ­a Beach, Valencia, Spain β˜€οΈ
22-26 Sept 2025.
Sponsored by Psi-k & NCCR MARVEL.
Register by 30 April.

For more: sites.google.com/view/hubbard-workshop-2025

#DFT+U #CondensedMatter #compchem

1 year ago 2 2 0 0

Would be nice if it became standard after events for slides to be collated and made public (but we all know how much of a headache that would be 🐈🐈🐈🐈)

1 year ago 1 0 0 0
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22nd International Workshop on Computational Physics and Materials Science: Total Energy and Force Methods | (smr 4050) (08-10 January 2025) The “Total Energy” is a renowned workshop about recent progress in electronic structure methods and their applications. It has been held traditionally in Trieste every two years since the ...

The programme is here indico.ictp.it/event/10815/... but AFAIK the only talk that was recorded was the Walter Kohn Prize lecture www.youtube.com/live/Iem5r_1...

1 year ago 1 0 1 0
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Kicking off the new year with a bang at the #ICTP Total Energy and Force Methods in Trieste πŸŽ† Lots of excellent talks and thought-provoking discussions, but it's a bit of shock to the system straight after the holidays!

1 year ago 2 0 1 0

Congratulations to Marija for submitting her first paper! πŸŽ‰ Time for a well-earned break...

1 year ago 0 0 0 0
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Predicting the suitability of photocatalysts for water splitting using Koopmans spectral functionals: The case of TiO$_2$ polymorphs Photocatalytic water splitting has attracted considerable attention for renewable energy production. Since the first reported photocatalytic water splitting by titanium dioxide, this material remains…

Snuck in under the wire! Marija Stojkovic shows how to take advantage of a quirk of Koopmans functionals β€” that they correct eigenvalues while leaving total energies unchanged β€” to perform cheap but accurate band alignment

#EPFL @psich.bsky.social

https://arxiv.org/abs/2412.17488

1 year ago 1 0 1 0
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How machine learning can help predict the spectral properties of materials - Highlights - nccr-marvel.ch :: NCCR MARVEL MARVEL scientists at theΒ Paul Scherrer Institute and the University of Zurich have used a machine learning model to calculate the screening parameters for Koopmans functionals, a promising approach…

... and there is a nice summary on the MARVEL website nccr-marvel.ch/highlights/machine-learn...

1 year ago 1 0 0 0
Predicting electronic screening for fast Koopmans spectral functional calculations - npj Computational Materials npj Computational Materials - Predicting electronic screening for fast Koopmans spectral functional calculations


Read here πŸ‘‰ https://doi.org/10.1038/s41524-024-01484-3

1 year ago 0 0 1 0
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🎁 Christmas has come early: new paper out & #openaccess in npj Computational Materials! We show how to predict electronic screening β€” dramatically lowering the barrier of using Koopmans functionals for disordered materials. Lots of exciting science now on the horizon!

1 year ago 1 1 1 0

Nice work!

[FYI, @buffer.com can help make cross-posting less painful]

1 year ago 2 0 0 0

It was nice to be invited to give a talk about how Koopmans functionals can help solve some of these challenges, but there's lots more to be done!

1 year ago 0 0 0 0
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It was nice to be invited to give a talk about how Koopmans functionals can help solve some of these challenges, but there's lots more to be done!

1 year ago 0 0 0 0
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A pleasure to be back in Lausanne at #CECAM for the workshop "Beyond ground state simulations: Navigating challenges in excited states of extended molecules and materials". After three days of talks and discussions it's fair to say that challenges abound!

1 year ago 0 0 1 0
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A pleasure to be back in Lausanne at #CECAM for the workshop "Beyond ground state simulations: Navigating challenges in excited states of extended molecules and materials". After three days of talks and discussions it's fair to say that challenges abound!

1 year ago 0 0 1 0
Physicists develop new theory describing the energy landscape formed when quantum particles gather together Understanding the exact shape of energy landscapes of quantum particles can potentially make computer simulations of materials far more accurate. Such simulations are helping to design next-gen materi...

Delighted to see this work led by Andrew Burgess out in #PhysRevLett -- and explained by a lovely write-up πŸŽ‰
www.tcd.ie/news_events/...

1 year ago 0 0 0 0
Physicists develop new theory describing the energy landscape formed when quantum particles gather together Understanding the exact shape of energy landscapes of quantum particles can potentially make computer simulations of materials far more accurate. Such simulations are helping to design next-gen materi...

Delighted to see this work led by Andrew Burgess out in #PhysRevLett -- and explained by a lovely write-up πŸŽ‰
www.tcd.ie/news_events/...

1 year ago 0 0 0 0