[Pw_forum] Quantum ESPRESSO @ Exabyte.io

[Suza W]

Very good news! thanks a lot Timur.

Science must be enjoyed by all and should not be limited only within the
rich and big groups, who have money, power and control to buy large
supercomputers. The exabyte platform would presumably help talented but
unfortunate small groups.

Is there anyone in Quantum ESPRESSO who could sell or rent his/her DFPT+U
code? Is anyone aware of any DFPT+U version like the student version of
Matlab or something? I know, VASP has DFPT+U option for the zone-center
point, but it is super-expensive economically.

Sincerely,
Suza

School of Physics and Electronic Sciences
Changsha University of Science and Technology,
Changsha,  People’s Republic of China


On Wed, Oct 5, 2016 at 11:09 PM, Timur Bazhirov <timur at exabyte.io> wrote:

> Fellow Quantum ESPRESSO users,
>
> Let me bring to your attention to exabyte.io: a web-based materials
> simulations platform with full support for Quantum ESPRESSO. A brief
> getting-started tutorial and more information is available at:
>
>     https://docs.exabyte.io/getting-started/run-first-simulation/
>
> We provide a comprehensive and convenient way to prototype new materials,
> run large-scale simulations and analyze the results. We previously focused
> on enterprise researchers, and are now ready to release the beta version to
> the public. You can apply to try it in action at:
>
>     https://platform.exabyte.io/register
>
> New registration requests mentioning "QE-forum" will get $10 credit upon
> approval. Users may invite friends and colleagues to get an additional $10
> for each new accepted registration.
>
> We look forward to your feedback.
>
> Best,
> Timur Bazhirov, Ph.D.
> Founder/CEO | exabyte.io
> 1161 Mission street, suite 505
> San Francisco, CA 94103
> +1.510.473.7770
>
> • combinatorial screening of III-V semiconductors:
> https://docs.exabyte.io/tutorials/combinatorial-screening/
> • 296 materials on 10,600 CPU in 38 hours:  https://exabyte.io/#case-study
> • Quantum ESPRESSO benchmarking on exabyte.io:
> https://exabyte.io/#case-study
>
>
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>
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