Molecular Systems Design & Engineering
@msde.rsc.org
Molecular engineering journal from the @roysocchem.bsky.social and IChemE.
🌐 Website: rsc.li/msde-journal Published by @rsc.org
🌐 Website: rsc.li/msde-journal Published by @rsc.org
"Investigating the design of macromolecular-based inks for two-photon 3D laser printing" by Samantha O. Catt, Clara Vazquez-Martel and Eva Blasco
@blascolab.bsky.social
Read this #HOT article here 👉 pubs.rsc.org/en/content/a...
@blascolab.bsky.social
Read this #HOT article here 👉 pubs.rsc.org/en/content/a...
Investigating the design of macromolecular-based inks for two-photon 3D laser printing
Two-photon 3D laser printing (2PLP) is one of the most versatile methods for additive manufacturing of micro- to nano-scale objects with arbitrary geometries and fine features. With advancing technolo...
pubs.rsc.org
July 17, 2025 at 9:38 AM
"Investigating the design of macromolecular-based inks for two-photon 3D laser printing" by Samantha O. Catt, Clara Vazquez-Martel and Eva Blasco
@blascolab.bsky.social
Read this #HOT article here 👉 pubs.rsc.org/en/content/a...
@blascolab.bsky.social
Read this #HOT article here 👉 pubs.rsc.org/en/content/a...
"DORA-XGB: an improved enzymatic reaction feasibility classifier trained using a novel synthetic data approach" by Yash Chainani, Zhuofu Ni, Kevin M. Shebek, Linda J. Broadbelt and Keith E. J. Tyo
pubs.rsc.org/en/content/a...
pubs.rsc.org/en/content/a...
DORA-XGB: an improved enzymatic reaction feasibility classifier trained using a novel synthetic data approach
Retrobiosynthesis tools harness the inherent promiscuities of enzymes for the de novo design of novel biosynthetic pathways to key small molecules. Many existing pathway search algorithms rely on exha...
pubs.rsc.org
July 17, 2025 at 9:38 AM
"DORA-XGB: an improved enzymatic reaction feasibility classifier trained using a novel synthetic data approach" by Yash Chainani, Zhuofu Ni, Kevin M. Shebek, Linda J. Broadbelt and Keith E. J. Tyo
pubs.rsc.org/en/content/a...
pubs.rsc.org/en/content/a...
Featured in the collection...
"Accelerating multicomponent phase-coexistence calculations with physics-informed neural networks" by Satyen Dhamankar, Shengli Jiang and Michael A. Webb
This paper was also marked as HOT by our editors and reviewers
pubs.rsc.org/en/content/a...
"Accelerating multicomponent phase-coexistence calculations with physics-informed neural networks" by Satyen Dhamankar, Shengli Jiang and Michael A. Webb
This paper was also marked as HOT by our editors and reviewers
pubs.rsc.org/en/content/a...
Accelerating multicomponent phase-coexistence calculations with physics-informed neural networks
Phase separation in multicomponent mixtures is of significant interest in both fundamental research and technology. Although the thermodynamic principles governing phase equilibria are straightforward...
pubs.rsc.org
July 17, 2025 at 9:38 AM
Featured in the collection...
"Accelerating multicomponent phase-coexistence calculations with physics-informed neural networks" by Satyen Dhamankar, Shengli Jiang and Michael A. Webb
This paper was also marked as HOT by our editors and reviewers
pubs.rsc.org/en/content/a...
"Accelerating multicomponent phase-coexistence calculations with physics-informed neural networks" by Satyen Dhamankar, Shengli Jiang and Michael A. Webb
This paper was also marked as HOT by our editors and reviewers
pubs.rsc.org/en/content/a...