white_tiger

4 ms·

1.
by white_tiger 1mo ago
Hi Hackernews, I am looking for co-founders for my startup. Physicsbase is the physics verification and execution infrastructure for engineering AI. Physicsbase gives autonomous engineering agents the infrastructure to create, execute, veri
2.
by white_tiger 1mo ago
Hello there. Like you, I also write custom user materials (UMAT, UMATHT etc). I have been looking for a developement environment built specifically for that. An environment that accords Fortran the same respect as python or js. I have made
3.
Show HN: Wife: AI that lets you pick the best Card for each Purchase(getwife.co)
2 points by white_tiger 2mo ago|0 comments
4.
Show HN: Physicsbase.ai Validated Physics for AI(physicsbase.ai)
1 points by white_tiger 2mo ago|0 comments
5.
Ddsdde.com IDE for Abaqus Subroutines(ddsdde.com)
1 points by white_tiger 2mo ago|1 comments
6.
by white_tiger 2mo ago
Hi hackernews community, I made an IDE that allows you to easily write a physically correct Abaqus Subroutine. The IDE provides arguments tooltips for all the subroutines such as UMAT etc as well as highlighting and the details of keywords
7.
by white_tiger 4mo ago
Each test is responsible for a part of the UMAT subroutine, checks it's correctness, compares the subroutine (FEA) with the analytical. Plot their results and show whether the tests passes or fails. AI is built into the process too, bu
8.
by white_tiger 4mo ago
That was my workflow initially too. The entire ecosystem around computational simulation tools is lacking. Partly I also think it's because of the lack of attention to languages like Fortran which is mostly viewed as old by current gen
9.
by white_tiger 4mo ago
*repositories are private, .odb files are hidden locally on computers...
10.
Show HN: Jacobi–IDE for Abaqus subroutine with analytical tests and AI diagnosis(jacobee.netlify.app)
18 points by white_tiger 4mo ago|6 comments
11.
by white_tiger 4mo ago
cool
12.
by white_tiger 1y ago
Supercomputers are becoming more accessible. There's a large gap between research and real-world use, such numerical models need to be thoroughly tested for robustness before they can be deployed. And according to experience, such stud
13.
Pitfalls to Avoid with Floating-Point Literal Constants in Fortran(smoggy-crib-7a4.notion.site)
4 points by white_tiger 1y ago|0 comments