RxnNet is now published in JCTC! If you work on complex mechanisms (carbocations, rearrangements, fragmentation), we’d love your feedback + use cases. RxnNet: An AI Framework for Reaction Mechanism Discovery─A Case Study of Carbocations https://t.co/znByhJS80W
Peptide-Protein docking is challenging and often restraints can help... but how do you know what kind of restraints actually work? See our recent work in Journal of Chemical Information and Modeling https://t.co/UONEGdf0tm
🚀Congrats to Akanksha! 🎉
Sodium-ion batteries suffer from limited energy density. Our work shows that low-level doping in Na-deficient, Co-free high-entropy cathodes enhances TM–O covalency, stabilizes the oxygen framework & reversible anionic redox.
https://t.co/zNYoim3beb
New paper alert🧲🔋Sensitive Detection of Dendritic Lithium Morphologies by Dynamic Nuclear Polarization | The Journal of Physical Chemistry Letters https://t.co/2F057r6lwv
Congratulations to Nadav and @ayanmaity94 👏👏👑
See the cover! @ACSPublications#MyACSCover
Doping Strategies in Ni-Rich NCM Cathode Materials for Next-Generation Li-Ion Batteries: A Systematic Computational Study | ACS Applied Energy Materials https://t.co/A5AOWw6Mm0
Excited to share our recent work on Doping Strategies in Ni-Rich NCM Cathode Materials for Next-Generation Li-Ion Batteries: A Systematic Computational Study | ACS Applied Energy Materials https://t.co/DR3PyJD0rO