# Scientific Machine Learning

**URL:** https://discourse.julialang.org/t/scientific-machine-learning/39947
**Category:** Offtopic
**Created:** [May 22, 2020, 8:52am UTC](https://discourse.julialang.org/t/scientific-machine-learning/39947 "2020-05-22T08:52:33Z")
**Posts on this page:** 2
**Page:** 1

<div class="post-metadata">

### Author: ![johnh](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/johnh/32/3615_2.png) [@johnh](https://discourse.julialang.org/u/johnh)
#### Post date: [May 22, 2020, 8:52am UTC](https://discourse.julialang.org/t/scientific-machine-learning/39947/1 "2020-05-22T08:52:33Z")

</div>

> **[Scientific Machine Learning Enables Potential to Design at 'Near-Interactive...](https://www.hpcwire.com/off-the-wire/scientific-machine-learning-enables-potential-to-design-at-near-interactive-speeds/)**
>
> May 21, 2020 — Researchers are developing deep learning methods to dramatically reduce the cost and turnaround of conceptual design computations for complex energy systems. The project, led by researchers \[…\]

That sounds a good candidate for Julia

---

<div class="post-metadata">

### Author: ![ChrisRackauckas](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/chrisrackauckas/32/77_2.png) [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [May 22, 2020, 12:43pm UTC](https://discourse.julialang.org/t/scientific-machine-learning/39947/2 "2020-05-22T12:43:57Z")

</div>

Indeed, there are a few ARPA-E DIFFERENTIATE projects using Julia, some being ran by Julia Computing and the Julia Lab. A lot of projects in the SciML organization are building up towards some big applications as part of this.