# Machine Learning for LCA

**URL:** <https://community.carbonleadershipforum.org/t/machine-learning-for-lca/1690>\
**Category:** LCA Data & Tools\
**Created:** [May 26, 2020, 9:25pm UTC](https://community.carbonleadershipforum.org/t/machine-learning-for-lca/1690 "2020-05-26T21:25:36Z")\
**Posts on this page:** 6\
**Page:** 1

<div class="post-metadata">

**Author:** ![mkrueger](https://avatars.discourse-cdn.com/v4/letter/m/d2c977/32.png) [@mkrueger](https://community.carbonleadershipforum.org/u/mkrueger)\
**Post date:** [May 26, 2020, 9:25pm UTC](https://community.carbonleadershipforum.org/t/machine-learning-for-lca/1690/1 "2020-05-26T21:25:37Z")

</div>

Hi All,

Wondering if there is any research out there about leveraging machine learning or AI for LCAs.

Thanks!

Max

---

<div class="post-metadata">

**Author:** ![ddavies](https://avatars.discourse-cdn.com/v4/letter/d/51bf81/32.png) [@ddavies](https://community.carbonleadershipforum.org/u/ddavies)\
**Post date:** [May 27, 2020, 1:52am UTC](https://community.carbonleadershipforum.org/t/machine-learning-for-lca/1690/2 "2020-05-27T01:52:35Z")

</div>

You should check out the work happening at the Concrete Sustainability Hub at MIT, lead by Jeremy Gregory. This is a topic he is currently working on.

---

<div class="post-metadata">

**Author:** ![mkrueger](https://avatars.discourse-cdn.com/v4/letter/m/d2c977/32.png) [@mkrueger](https://community.carbonleadershipforum.org/u/mkrueger)\
**Post date:** [May 27, 2020, 10:31pm UTC](https://community.carbonleadershipforum.org/t/machine-learning-for-lca/1690/3 "2020-05-27T22:31:43Z")

</div>

Great. I’ll check it out.

Thanks.

---

<div class="post-metadata">

**Author:** ![Andre.Stephan](https://avatars.discourse-cdn.com/v4/letter/a/3ec8ea/32.png) [@Andre.Stephan](https://community.carbonleadershipforum.org/u/Andre.Stephan)\
**Post date:** [June 2, 2020, 2:47pm UTC](https://community.carbonleadershipforum.org/t/machine-learning-for-lca/1690/4 "2020-06-02T14:47:15Z")

</div>

Hi Max,

That’s not directly related, but a required step towards implementing AI in compiling life cycle inventories.

> **[A model for streamlining and automating path exchange hybrid life cycle...](https://link.springer.com/article/10.1007/s11367-018-1521-1)**
>
> Life cycle assessment (LCA) is inherently complex and time consuming. The compilation of life cycle inventories (LCI) using a traditional process analysis typically involves the collection of data for dozens to hundreds of individual processes. More...

Hope that helps. Let me know if you can’t get past the paywall.

Regards,  
André

---

<div class="post-metadata">

**Author:** ![mkrueger](https://avatars.discourse-cdn.com/v4/letter/m/d2c977/32.png) [@mkrueger](https://community.carbonleadershipforum.org/u/mkrueger)\
**Post date:** [June 2, 2020, 7:10pm UTC](https://community.carbonleadershipforum.org/t/machine-learning-for-lca/1690/5 "2020-06-02T19:10:06Z")

</div>

Hi André,

Thanks for sharing. Very interesting piece and great point on the amount of manual labor that may be required to build and effective training dataset to leverage AI.

---

<div class="post-metadata">

**Author:** ![seongwon](https://avatars.discourse-cdn.com/v4/letter/s/d07c76/32.png) [@seongwon](https://community.carbonleadershipforum.org/u/seongwon)\
**Post date:** [September 30, 2020, 6:29am UTC](https://community.carbonleadershipforum.org/t/machine-learning-for-lca/1690/6 "2020-09-30T06:29:53Z")

</div>

It’s not directly for LCA but focused on embodied carbon benchmark of concrete using AI.

> **[Embodied carbon analysis and benchmarking emissions of high and ultra-high...](https://www.sciencedirect.com/science/article/abs/pii/S0959652620313287)**
>
> High strength concrete (HSC) (50–100 MPa) and ultra-high strength concrete (UHSC) (\>100 MPa) have been increasingly used in the construction industry …