Martin Seifrid

20 Followers
25 Following
11 Posts

Self-driving labs & materials chemistry

Assistant Professor | NC State

Websitehttps://ddomlab.org

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

https://doi.org/10.26434/chemrxiv-2023-wqp0d

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 accelerate these workflows, we present a cloud-based strategy that enables delocalized and asynchronous design–make–test–analyze cycles. We showcase this approach through the exploration of molecular gain materials for organic solid-state lasers as a frontier application in molecular optoelectronics. Distributed robotic synthesis and in-line property characterization, orchestrated by a cloud-based AI experiment planner, resulted in the discovery of 21 new state-of-the-art materials. Automated gram-scale synthesis ultimately allowed for the verification of best-in-class stimulated emission in a thin-film device. Demonstrating the asynchronous integration of five laboratories across the globe, this workflow provides a blueprint for delocalizing – and democratizing – scientific discovery.

ChemRxiv
Amazing how many brilliant scientists will look at an LLM "passing" a standardized test and think, "wow, this computer is very smart" and not "standardized tests are very bad at measuring intelligence"

RT @[email protected]

Applications for the 2023 Future Faculty Conference at the University of Chicago are now open! We are planning for an *in person* conference this year (finally)!

Applications Due March 6th

https://voices.uchicago.edu/future-faculty-conference/

🐦🔗: https://twitter.com/LevinChem/status/1619081119735095296

Future Faculty Conference – Sandbox | University of Chicago

RT @[email protected]

@[email protected] 2023 Future Faculty Workshop at Texas A&M! Great workshop with several generations of success stories. June 26-28, looks like apps open Feb 15 https://tinyurl.com/bdhcyabw

🐦🔗: https://twitter.com/MacroKatie/status/1619319524481974274

Future Faculty Workshop | College of Engineering

RT @[email protected]

Excited to share the latest paper from our lab describing our fully automated platform for photopolymerizations including a multiplexed lightbox with feedback control on polymerization kinetics via connected plate reader. Now published in @[email protected]!
https://pubs.rsc.org/en/content/articlelanding/2023/DD/D2DD00100D

🐦🔗: https://twitter.com/GormleyLab/status/1613535857604165633

A fully automated platform for photoinitiated RAFT polymerization

Oxygen tolerant polymerizations including Photoinduced Electron/Energy Transfer-Reversible Addition–Fragmentation Chain-Transfer (PET-RAFT) polymerization allow for high-throughput synthesis of diverse polymer architectures on the benchtop in parallel. Recent developments have further increased throughput using liq

What's the easiest way to find everyone interested in lab automation, #AI4Science for #materials, #chemistry, etc. from the old site? Should I just follow everyone that follows @aspuru?

If you're interested in these topics, give me a follow and I'll follow back!

@aspuru A little cross promotion never hurt. 😊 #acceleratedscience
Congrats to @brigreens for winning a @[email protected] Graduate Fellowship "based on her exceptional ability and promise in the field of Quantum Science and Engineering."

If you've missed any of Brianna's #compchem papers, she's been on a roll:

- "Organic Photovoltaic Efficiency Predictor: Data-Driven Models for Non-Fullerene Acceptor Organic Solar Cells"
https://pubs.acs.org/doi/abs/10.1021/acs.jpclett.2c00866

- "Computational evolution of high-performing unfused non-fullerene acceptors for organic solar cells"
https://aip.scitation.org/doi/abs/10.1063/5.0087299

And a #preprint on tandem organic solar:

- Designing Efficient Tandem Organic Solar Cells with Machine Learning and Genetic Algorithms https://doi.org/10.26434/chemrxiv-2022-tvlp7

RT @[email protected]

My wonderful PhD student @[email protected] led the charge on this excellent discussion of the minimum working example of a self-driving lab. Out now in @[email protected]
https://authors.elsevier.com/c/1gC-19Cyxc-Djn

🐦🔗: https://twitter.com/taylordsparks/status/1601269403789975553