Digital Discovery retweetledi
The RSC's content on digital chemistry - including Digital Discovery! - will soon also appear on LinkedIn. Find us here: linkedin.com/showcase/digit…
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Digital Discovery
1.6K posts
Digital Discovery
@digital_rsc
This account has been archived. Stay connected with us on https://t.co/1sGCwhQbF8, LinkedIn, Bluesky, Facebook, Instagram, WeChat, YouTube and TikTok.
Cambridge, UK Katılım Haziran 2021
259 Takip Edilen1.6K Takipçiler
Digital Discovery retweetledi
Digital Discovery is now on Bluesky! Find our latest news at bsky.app/profile/digita…
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Digital Discovery retweetledi
Digital Discovery Issue 6 is now online! pubs.rsc.org/en/journals/jo…
Back cover: Yoshikawa et al., Perspective on “Self-driving laboratories in Japan”
Read: doi.org/10.1039/D4DD00…
The artwork by Yumiko Miyahara includes an image by Kanda et al., licensed under CC BY 4.0.
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Digital Discovery Issue 6 is online and #OpenAccess pubs.rsc.org/en/journals/jo…
Outside cover: Gebbie et al., doi.org/10.1039/D4DD00…
Inside cover: Benner et al., doi.org/10.1039/D4DD00…
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Digital Discovery Issue 6 is now available! pubs.rsc.org/en/journals/jo…
In this issue: Ion transport in ionic liquids, synthesizability prediction, a Perspective on self-driving laboratories in Japan and much more! #openaccess
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G. Karageorgis introduces this featured paper: "Revolutionising digital process design! Our new digital tool uses data-driven experimentation to optimise liquid-liquid extractions. Faster development, smarter decisions, greener processes." Read the paper: doi.org/10.1039/D5DD00…
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Digital Discovery retweetledi
Happy to see our latest publication online as an advance article published in @digital_rsc. Digital platforms lead to the development of improved single-crystal perovskite multimaterials. Great work from Diego Iglesias, @marci_zanatta and more @inam_uji t.ly/3FqvI
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Digital Discovery retweetledi
Thrilled to see our latest publication out in @digital_rsc on digital platforms for improved perovskite multimaterial. A beautiful closing to @DiegoIglesias PhD journey — so proud of his brilliant work. Thanks to
@vss31 and all collaborators. @inam_uji #cienciauji
Victor Sans@vss31
Happy to see our latest publication online as an advance article published in @digital_rsc. Digital platforms lead to the development of improved single-crystal perovskite multimaterials. Great work from Diego Iglesias, @marci_zanatta and more @inam_uji t.ly/3FqvI
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Today's featured article from Yaghi et al. assesses popular LLMs as tools for extracting information from the literature on reticular chemistry, in particular generating Q&A datasets and extracting synthesis conditions. Read the open access paper here: doi.org/10.1039/D5DD00…
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Our next featured article, from Wen, Srolovitz, et al., presents ElaTBot, an LLM integrating natural language processing with materials science knowledge, using elastic constant tensor prediction as a case study. Read the open access paper here: doi.org/10.1039/D5DD00…
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#DigitalDiscovery is proud to support the workshop on sustainable exploration of chemical spaces with machine learning, taking place September 29 – Octboer 1 in Dresden, Germany.
Application deadline: June 15, 2025.
More details at susml.net
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Digital Discovery retweetledi
👋Just two weeks left to register for the #SusML Workshop 2025 in Dresden! susml.net
Have a look at our exceptional lineup of speakers that will discuss current ML methods for the sustainable exploration of chemical spaces.
@Psik_Network @nanoDresden @digital_rsc
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@narukiyoshikawa et al. share a featured Perspective article on self driving labs in Japan. This overview encompasses the combined efforts of national funding, community collaboration, and industry support their growth, as well as future directions:
doi.org/10.1039/D4DD00…
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Digital Discovery retweetledi
A fun project with @riavinod_ @payel791 @IBMResearch using model reprogramming techniques to "translate" a pretrained English language model for protein sequence representation learning. Our method can be on par with or even better than some of the protein foundation models!
Digital Discovery@digital_rsc
In our next featured article, @pinyuchenTW et al propose Representation Learning via Dictionary Learning (R2DL) to reprogram English language models for cross-domain tasks that perform well on protein property prediction tasks. Read the paper: doi.org/10.1039/D4DD00…
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In our next featured article, @pinyuchenTW et al propose Representation Learning via Dictionary Learning (R2DL) to reprogram English language models for cross-domain tasks that perform well on protein property prediction tasks. Read the paper: doi.org/10.1039/D4DD00…
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Today's featured Review article from Wei et al. explores how artificial intelligence tools can support the development of anti-addiction medications, investigating new tools and upcoming research trends. Read the open access article: doi.org/10.1039/D5DD00…
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This featured Communication article from Haddadnia, Grashoff, and Strieth-Kalthoff introduces BoTier, a library for BO experiment planning that can represent a hierarchy of preferences. Read the paper: doi.org/10.1039/D5DD00… Find BoTier on Github: github.com/fsk-lab/botier
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Ju, You, et al. evaluate pretrained ML potential SevenNet-0 on liquid electrolytes. Trained on inorganic data, SevenNet-0 performs unexpectedly well on these out-of-distribution systems, showing interpolation ability and improvement with fine-tuning. doi.org/10.1039/D5DD00…
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Digital Discovery Issue 5 is now online and #openaccess! pubs.rsc.org/en/journals/jo…
Back cover: Fedik et al., “Challenges and opportunities for machine learning potentials in transition path sampling: alanine dipeptide and azobenzene studies”
Read: doi.org/10.1039/D4DD00…
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