Eleni Chatzikyriakou

@abe_asfaw Probably the best way to pose this question is "Was the quantum computing field sufficiently subsidized to support the huge flock of people coming in?" Or "Was X a safe and substantial place for them to express themselves?" etc.

just checking -- are #quantumcomputing people still here?

The new version of overleaf suggests me to pay for an AI fix assistant to fix errors that I did not have in the previous version. 🥸

I just can't believe I am reading review papers and they still talk about unresolved bandgap values in well-known materials. What? Is accurate band-gaps not sexy enough to be funded?

Unveiling Intrinsic Bulk Photovoltaic Effect in Atomically Thin ReS2 | Nano Letters pubs.acs.org/doi/10.1021/ac… Our article on shift conductivity in ReS2 is out in ACS nanoletters. I feel so lucky to be part of this wonderful collaboration.

👉HOT NEWS New topical review published in MQT by the nanomaterials and spectroscopy group at CFM @Ikerbasque @Mr_Physicist_ @upvehu #IKUR

Every time I hear people can do materials simulations with quantum computers.

Motivation tweet of the day: My father used the English version of autoCAD to design the houses he makes without speaking a word English.

The video that NASA does not want you to see!

When you follow Microsoft's suggestions for your presentations...

@jjgarciaripoll @Ikerbasque There is 13 pages of Institutions and only 10 posts of either Professors or research associates 🙄

The @Ikerbasque Foundation has an open call for 10 permanent positions calls.ikerbasque.net

When Copilot spends too much time with DALL·E

We have a postdoc opening! Topics: disorder, topology and superconductivity! Apply here: emploi.cnrs.fr/Offres/CDD/UPR… Deadline: June 22nd

@LuisSchang @DaniBeckman @baym All metrics, even if they last a minute are bad if you don't understand what they mean.

@DaniBeckman @baym Any metrics that lasts longer than a handful of years ends up incentivizing behaviors to maximize the metric, not good science. But administrators prefer having "hard" parameters to justify decisions. It won't change

Ok I’ll bite, what’s an H-index?

@mbeisen @williamhu43 That is absolutely hilarious. If it wasn't so sad. (For the women that are not on the list, not you I mean).

@williamhu43 Because it seems like every other Michael is on the list.

Well now I really feel like shit

So, all important contributions in applications of #MachineLearning basically need to be a balance between efficient use of resources and usefulness of predictions. This is the first barrier that needs to be overcome.

Another option is to find low-cost simulations to run thousands of times, and then train your NN on that. But, this usually reduces the significance of your NN predictions.

The way to get data is either through experiments or through simulations. Simulations also need computer power while experiments... well a lab and all expenses covered. #data #machinelearning

By now, many people know the basics of Neural Networks (IT people even long before, since it is a course in Universities). What is less obvious to the beginner is the two conditions needed: Computer power and data. Data is the currency of today. youtube.com/watch?v=-zrY7P…

@MarioKrenn6240 @GuXuemei This paper has put a tombstone on my interests in academia.

Very happy that this is out! 🥳🥳 Towards an Artificial Muse for Science, we want to know how interesting AI-generated research ideas are: arxiv.org/abs/2405.17044 100+ Research Group Leaders (!) from 50+ Max Planck Institutes helped us evaluate! Spearheaded by @GuXuemei Fields of research: All topics studied in the Max Planck Society, including biology, chemistry, physics, math, computer science, medicine, social sciences, humanities. Method: We used 50+ million papers to create a knowledge graph. Selected pairs of researchers -> subgraphs. Find possible good connections between them. Use it as a prompt for GPT. My favorite conclusion: We can predict the interest-level from pure knowledge graph data! Thus can generate much more targeted suggestions in the future. Massive THANKS to the more than 100 experienced researchers who spent time on our AI-generated proposals. Thanks to the many scientists who helped us by analysing the outcomes, before we started evaluating the proposals (especially the RGs at @MPI_Light).

@HirokiSayama It's the end of an era.

Today I realized I myself became the reviewer #2