Dear Tim,
I remain enthusiastic about the value to my work, research and service to the 
crystallographic community, in what I learn using twitter ie X. I also 
appreciate the learned feedback I get to what I share in my tweets. I do not 
use X to share my opinions on “wider issues”. 
I have tried Mastodon on and off for several years and struggle with its 
distributed computer servers ie in finding information in my searches. I will 
try it again, following Dave Briggs’ positive input to this thread. 
As also remarked in this thread, BlueSky, set up by some former Twitter 
employees, I am monitoring but as was pointed out its use currently is by 
invitation only.
LinkedIn I also find more effective than Twitter in sharing such as IUCr 
Newsletter pieces. Also LinkedIn’s statistics are very informative in the 
categories of audience one reaches.
Greetings
John 
Emeritus Professor John R Helliwell DSc




> On 2 Dec 2023, at 09:15, Tim Grüne <[email protected]> wrote:
> 
> 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/

Reply via email to