Dear colleagues, I take advantage of Tim's message about the fact that responsible people have resigned from X. I really enjoyed Twitter (which I discovered rather late) because it was a great tool for announcing news from my laboratory, but also for keeping abreast of recent publications or pre-publications related to my research interests. I notice that many scientists have deserted X in recent months.
Can anyone suggest user-friendly alternatives used by the scientific communities to announce recent publications or news in their fields? Best wishes, Marc — Marc GRAILLE, PhD DR1-CNRS Laboratoire de Biologie Structurale de la Cellule (BIOC; Ex-Laboratoire de Biochimie) UMR7654 du CNRS Head of the team: “Translation and degradation of eukaryotic mRNAs” ÉCOLE POLYTECHNIQUE 91128 PALAISEAU CEDEX FRANCE 📞: +33 (0)1 69 33 48 90 : [email protected] <mailto:[email protected]> / Twitter : @GrailleLab <https://twitter.com/GrailleLab> https://portail.polytechnique.edu/bioc/en/research/coupling-between-translation-and-mrna-degradation-eukaryotes — > Le 2 déc. 2023 à 10:15, Tim Grüne <[email protected]> a écrit : > > Hi Mark, > responsible people are resigning from X. > Cheers, > Tim > > Am 01.12.2023 23:24, schrieb Mark J. van Raaij: >> just came across this critique of that paper on Twitter: >> This exciting paper shows AI design of materials, robotic synthesis. >> 10s of new compounds in 17 days. But did they? This paper has very >> serious problems in materials characterisation. In my view it should >> never have got near publication. Hold on tight let's take a look 😱 >> [1] >> Robert Palgrave (@Robert_Palgrave) on X [1] >> twitter.com [1] >> but I'm not enough of an expert to judge - perhaps some >> characterizations were wrong and a lot of the paper does stand. >>> On 1 Dec 2023, at 20:51, Bryan Lepore <[email protected]> wrote: >>> Adding to that literature list a bit outside : >>> Merchant, A., Batzner, S., Schoenholz, S.S. _et al._ >>> Quote: >>> "... we show that graph networks trained at scale can reach >>> unprecedented levels of generalization, improving the efficiency of >>> materials discovery by an order of magnitude. " >>> Scaling deep learning for materials discovery. >>> _Nature_ (2023), November >>> https://doi.org/10.1038/s41586-023-06735-9 >>> ------------------------- >>> To unsubscribe from the CCP4BB list, click the following link: >>> https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 >> ------------------------- >> To unsubscribe from the CCP4BB list, click the following link: >> https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 >> Links: >> ------ >> [1] https://twitter.com/Robert_Palgrave/status/1730358675523424344 > > -- > -- > Tim Gruene > Head of the Centre for X-ray Structure Analysis > Faculty of Chemistry > University of Vienna > > Phone: +43-1-4277-70202 > > GPG Key ID = A46BEE1A > > ######################################################################## > > To unsubscribe from the CCP4BB list, click the following link: > https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 > > This message was issued to members of www.jiscmail.ac.uk/CCP4BB, a mailing > list hosted by www.jiscmail.ac.uk, terms & conditions are available at > https://www.jiscmail.ac.uk/policyandsecurity/ ######################################################################## To unsubscribe from the CCP4BB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=CCP4BB&A=1 This message was issued to members of www.jiscmail.ac.uk/CCP4BB, a mailing list hosted by www.jiscmail.ac.uk, terms & conditions are available at https://www.jiscmail.ac.uk/policyandsecurity/
