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Martin Seifrid

@mseifrid.bsky.social
1.2K followers 185 following 41 posts

Self-driving labs & materials chemistry | Assistant Professor at NC State Group: @ddomlab.org ddomlab.org

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Reposted by Martin Seifrid
Data-Driven Organic Materials Lab @ddomlab.org · 27/02/2026
Officially official! The group's first-ever publication is online 🥳 #ChemSky #MatSky doi.org/10.1063/5.03...
doi.org
Robust learning from literature data: Model generalizability and uncertainty for predicting conjugated polymer solution conformation
Predicting solution conformation and aggregation of conjugated polymers remains a bottleneck for translating solution processing into controlled film microstruc
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Reposted by Martin Seifrid
Andy Extance @andyextance.bsky.social · 02/02/2026
In my @nature.com story, I explain how chemists at Yale have created a chemistry AI tool by fine-turning the LLAMA LLM to create 2,498 expert models. Their system can judge which of the different experts to refer a query about reaction conditions to. Impressive! 🧪 www.nature.com/articles/d41...
nature.com
This AI has chemical expertise — and helps synthesize 35 new compounds
An open-source program helps researchers bypass a major bottleneck in the process chemical synthesis.
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Reposted by Martin Seifrid
Katie Mack @astrokatie.com · 21/11/2025
It’s widely known (and, I think, pretty uncontroversial) that learning requires effort — specifically, if you don’t have to work at getting the knowledge, it won’t stick. Even if an LLM could be trusted to give you correct information 100% of the time, it would be an inferior method of learning it.
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Martin Seifrid @mseifrid.bsky.social · 01/10/2025
Exciting news!
media.tenor.com
a man in a tie is sitting at a table with his mouth open .
ALT: a man in a tie is sitting at a table with his mouth open .
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Martin Seifrid @mseifrid.bsky.social · 18/09/2025
Do you know of any papers that have datasets of organic materials (polymers, molecules) with experimental parameters–not material properties, but stuff like concentration, temperature, whatever? #chemsky #matsky
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Reposted by Martin Seifrid
Research Corporation for Science Advancement @rescorp.org · 11/06/2025
RCSA, the Arnold and Mabel Beckman Foundation, and the Frederick Gardner Cottrell Foundation have funded seven team projects in the second year of the #Scialog: Automating Chemical Laboratories initiative. bit.ly/4e15oxp
Top row: Daniel Schwalbe-Koda, Shijing Sun, Zakaria Al Balushi, Pieremanuele Canepa, Michael McGuirk. 2nd row: Andrew Zahrt, Cailin Buchanan, Daniel Tabor, James Grinias, Long Luo, Glen O'Neil. 3rd row: Badri Narayanan, Johanna Schwartz, Mark Hendricks, Jessica Sampson, Martin Seifrid.
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Reposted by Martin Seifrid
Vittorio Saggiomo @vsaggiomo.bsky.social · 29/05/2025
New preprint online: A flow cell for data validation in computer vision. Computer vision is amazing for reaction monitoring, analytical chemistry, and self-driving laboratories, but it has a flaw… let’s dig deep into this research. #Chemsky 1/n chemrxiv.org/engage/chemr...
a variable flowcell compared to a fixed lenght cuvetteintroduction slide for the project
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Martin Seifrid @mseifrid.bsky.social · 23/03/2025
Today's a big day for @ddomlab.org! My first PhD student, Sina Dehghan, presents his research at #ACSSpring2025
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Guillaume Champeau @guillaume.champeau.info · 19/12/2023
Bon résumé.
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Keith Edwards @keithedwards.bsky.social · 17/11/2024
My kingdom for an edit button
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Martin Seifrid @mseifrid.bsky.social · 30/09/2024
🚨⏳ Only a few hours left!! Make sure to submit your abstracts to this excellent symposium on "Integrating High-Throughput Techniques and Digital Technologies for #Sustainability" at #ACSSpring2025 bit.ly/3XF7jzU
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Martin Seifrid @mseifrid.bsky.social · 08/08/2024
I've had many discussions with colleagues about the future of publishing, especially about how antiquated the current static web page & PDF model is. This write-up in Nature about curvenote.com is exactly what we need! www.nature.com/articles/d41...
nature.com
A publishing platform that places code front and centre
Curvenote creates interactive publications based on digital-coding notebooks and aims to increase the transparency and reproducibility of data science. Curvenote creates interactive publications based...
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Martin Seifrid @mseifrid.bsky.social · 19/07/2024
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Martin Seifrid @mseifrid.bsky.social · 10/07/2024
Agreed! Reposting to annoy my Celsius friends 😉
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Reposted by Martin Seifrid
Data-Driven Organic Materials Lab @ddomlab.org · 21/06/2024
Another instrument is up and running! We set up our Gyros PurePep Chorus last Friday. Keep an eye out for exciting developments on this front 👀 #chemsky #matsky
Gyros PurePep chorus recently installed in the Data-Driven Organic Materials Lab @ NC State
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Reposted by Martin Seifrid
Data-Driven Organic Materials Lab @ddomlab.org · 06/06/2024
We just completed the installation of Big Purchase #1 ™️: a quadruple (!) detector SEC from Tosoh. This bad boy has RI, UV, MALS, & viscometry 💪 We're really excited to start getting some absolute molecular weights!
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Martin Seifrid @mseifrid.bsky.social · 28/05/2024
Our exploration of #ML to predict #OPV device performance from molecular structure of the materials *and* processing data is now officially published in J Mater Chem A as part of their 2024 Emerging Investigators series! doi.org/10.1039/D4TA...
doi.org
Beyond molecular structure: critically assessing machine learning for designing organic photovoltaic materials and devices
Our study explores the current state of machine learning (ML) as applied to predicting and designing organic photovoltaic (OPV) devices. We outline key considerations for selecting the method of encod...
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Martin Seifrid @mseifrid.bsky.social · 21/04/2024
Heading to my first (!) #S24MRS tomorrow to give an invited talk about machine learning from OPV data and data reporting standards. Come find me in EN04.02 or drop me a DM if you're in Seattle too!
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Reposted by Martin Seifrid
Hypervisible @hypervisible.blacksky.app · 29/03/2024
Hell. You are describing hell. Nobody wants an “interactive and engaging” dishwasher. They just want their dishes cleaned. www.forbes.com/sites/bernar...
Across all industries, organizations are rapidly embracing generative AI. Among them, makers of home appliances like fridges and ovens. Generative AI in your oven? Why not? Ater all, AI has been creeping into our homes for years (think smart lightbulbs and Alexa) – but thanks to generative AI, these interactions will become even more human and more personal.
Imagine, for example, asking your washing machine whether it’s safe to wash a beloved item of clothing on a certain setting – literally, asking it out loud or via an app. Or you could say to your fridge, “Hey, when am I going to run out of milk?” and it’ll tell you. Integrating generative AI into everyday products could lead to a new era of smart appliances that are not only more adaptive to our needs but also more interactive and engaging.
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Martin Seifrid @mseifrid.bsky.social · 25/03/2024
Out now on ChemRxiv! We explored using machine learning to predict OPV device performance from molecular structure of the materials *and* processing data. Hopefully this somewhat didactic approach is useful to those in the field who are interested in ML. doi.org/10.26434/che... #ChemSky #MatSky
doi.org
Beyond Molecular Structure: Critically Assessing Machine Learning for Designing Organic Photovoltaic Materials and Devices
Our study explores the current state of machine learning (ML) as applied to predicting and designing organic photovoltaic (OPV) devices. We outline key considerations for selecting the method of encod...
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Martin Seifrid @mseifrid.bsky.social · 17/03/2024
Are you gonna be at #ACSSpring2024? Hit me up! 👋 I'll be giving a talk (3990042) in the #PMSE session on Machine Learning, Data, and Automation for Polymer Discovery on Wednesday morning as well 🚨📢 #ChemSky #MatSky
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Martin Seifrid @mseifrid.bsky.social · 20/02/2024
With apologies to everyone who I've been telling "It'll be out soon", I'm excited to say: Chemspyd, our open-source Python API to control Chemspeed platforms is FINALLY live on PyPI!! We welcome feedback and contributions from the community. Preprint: doi.org/10.26434/che...
doi.org
Chemspyd: An Open-Source Python Interface for Chemspeed Robotic Chemistry and Materials Platforms
We introduce Chemspyd, a lightweight, open-source Python package for operating the popular laboratory robotic platforms from Chemspeed Technologies. As an add-on to the existing proprietary software s...
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Martin Seifrid @mseifrid.bsky.social · 22/01/2024
Help spread the word! Encourage your students, postdocs and colleagues to submit to the ACS Colloid and Surface Science Symposium. We have an excellent group of speakers. I'll be co-chairing a session on automation and ML/AI in colloids and surface science. www.colloids2024.org
colloids2024.org
ACS CSSS 2024
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Martin Seifrid @mseifrid.bsky.social · 18/12/2023
Follow the lab's new Bluesky account to stay up to date with all the exciting developments!
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Martin Seifrid @mseifrid.bsky.social · 13/12/2023
Calling my ML/DataSci peeps on #ChemSky and #MatSky! I’m teaching a data science for materials course next semester. The idea is to cover basics of data cleaning, preprocessing, simple models, classification & regression. If you have resources/slides you’d be willing to share, please let me know!
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Martin Seifrid @mseifrid.bsky.social · 20/11/2023
I realized that I don't spend much time on here because Bluesky's UX suck you in as much as others, and that's... good!
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Martin Seifrid @mseifrid.bsky.social · 23/10/2023
🗣️ Heads up! Join us at the FUTURE Labs Workshop on Jan 11-12, 2024, at North Carolina State University, where we're diving into the future of scientific discovery through #SelfDrivingLabs! 🤖🧪 research.ncsu.edu/futurelabswo...
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Martin Seifrid @mseifrid.bsky.social · 19/10/2023
Woohoo! I'm super excited to participate in this program 🤩 Looking forward to collaborating with all the excellent fellows on automating chemical laboratories rescorp.org/news/2023/10... #chemsky #matsky
rescorp.org
News
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Martin Seifrid @mseifrid.bsky.social · 12/10/2023
Are you interested in pursuing a graduate degree in Materials Science & Engineering? Join NC State MSE's Virtual Graduate School Info Session on Nov 3! We have a vibrant, cutting-edge research environment. Importantly, Raleigh is a great area to live. www.mse.ncsu.edu/event/virtua...
mse.ncsu.edu
MSE Virtual Graduate School Information Session | NC State MSE
Save the date for this virtual information session. Register now to stay up to date with event details! The Department of Materials Science and Engineering at NC State University is recognized as one�...
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Reposted by Martin Seifrid
Compound Interest | Chemistry infographics @compoundchem.com · 01/10/2023
It's #InternationalCoffeeDay! Do you prefer arabica or robusta beans? Here's a look at their chemical differences! wp.me/p4aPLT-7Bs
Infographic on the difference between arabica and robusta coffee.
World production: Arabica 70%, robusta 30%
Caffeine content: Arabica: 1.2-1.5%, robusta: 2.2-2.7%
Arabica has lower chlorogenic acid content and higher lipid and sugar content. 
Robusta’s key flavour compounds are more earthy in flavour than arabica’s.
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Martin Seifrid @mseifrid.bsky.social · 28/09/2023
For all my fellow materials scientists/chemists/engineers out there: #MatSky is now live! Add #MatSky to your mat sci posts and they'll be included in the feed
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Martin Seifrid @mseifrid.bsky.social · 20/09/2023
It's ooouuut!* *in preprint form If you've heard me talk about what I was up to in the past few years, there's a good chance it was about this huge team effort. It's been a really exciting journey and learning experience with contributions from people in many different areas
doi.org
Delocalized, Asynchronous, Closed-Loop Discovery of Organic Laser Emitters
Contemporary materials discovery requires intricate sequences of synthesis, formulation and characterization that often span multiple locations with specialized expertise or instrumentation. To accele...
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Martin Seifrid @mseifrid.bsky.social · 19/09/2023
#ChemSky is picking up here, but where are my material science, MSE folks? #MatSky?
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Martin Seifrid @mseifrid.bsky.social · 08/09/2023
Drop something blue from your gallery Last snow in #TO
Last snow in Toronto
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