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Reposted by ChemRxiv
#FAIR: Curious about the first version prior to peer review or raw data? 🔎 We have uploaded a preprint to @chemrxiv.bsky.social (chemrxiv.org/engage/chemr...) and our processable data to #TUWienResearchData (researchdata.tuwien.ac.at/records/qjcp...) 🤓
Trioxanes as photodegradable motifs for additive manufacturing
We introduce trioxanes as a new motif for on-demand photolysis of 3D printed polymer networks via an orthogonal light source using photoacid generators (PAGs). The acid-induced degradation of otherwis...
chemrxiv.org
July 15, 2025 at 12:15 PM
#FAIR: Curious about the first version prior to peer review or raw data? 🔎 We have uploaded a preprint to @chemrxiv.bsky.social (chemrxiv.org/engage/chemr...) and our processable data to #TUWienResearchData (researchdata.tuwien.ac.at/records/qjcp...) 🤓
Reposted by ChemRxiv
Key ingredients to the solution we developed (continued): a novel sequence representation for MOFs (called MOFSeq), and a pretraining-finetuning strategy for LLM-Prop. 4/4
Check it out! #MatSci #MOFs #LLMs #ML
@chemrxiv.bsky.social link: go.shr.lc/4kIQoWN
Check it out! #MatSci #MOFs #LLMs #ML
@chemrxiv.bsky.social link: go.shr.lc/4kIQoWN
Highly Accurate and Fast Prediction of MOF Free Energy Via Machine Learning
A major bottleneck in translating computational screening of metal-organic frameworks (MOFs) to laboratory synthesis is the uncertain synthetic accessibility of computer-generated MOF designs. While M...
go.shr.lc
July 14, 2025 at 4:25 PM
Key ingredients to the solution we developed (continued): a novel sequence representation for MOFs (called MOFSeq), and a pretraining-finetuning strategy for LLM-Prop. 4/4
Check it out! #MatSci #MOFs #LLMs #ML
@chemrxiv.bsky.social link: go.shr.lc/4kIQoWN
Check it out! #MatSci #MOFs #LLMs #ML
@chemrxiv.bsky.social link: go.shr.lc/4kIQoWN