We are excited for Prof. Michele Parrinello's visit to IIT Delhi! He will be delivering the upcoming institute lecture on 'Heterogeneous Catalysis' (ML potentials and Enhanced Sampling)
Looking forward to meeting him after a while!
@iitdelhi@Chemistry_iitd
We use molecular dynamics simulations boosted by:
- Topological collective variables that combine graph theory and machine learning 🕸️
- State-of-the-art enhanced sampling techniques 🚀
- Ab-initio-quality machine learning potentials refined with active learning🤖
📣Our first paper of 2024 is out! 📣
@FraMambretti, @uraucci87, and @ManyiYang studied how structural disorder enhances catalytic activity for ammonia decomposition on non-stoichiometric lithium-imide on @ACSCatalysis 🛹
📜https://t.co/zVeZ5RRUX7
@IITalk#compchem
Our new paper with @ManyiYang@GroupParrinello@IITalk is out on @NatureCatalysis ! We used NN potentials and enhanced sampling techniques to unveil the reactant-induced dynamics of lithium imide surfaces during the ammonia decomposition process. https://t.co/tjafo7iFf3
Wanna enhance sampling with #machinelearning-based collective variables?
Check out the library and the new paper on @JChemPhys by @LuigiBonati@TrizioEnrico@andrrizzi
📜 Paper: https://t.co/c7As75iZrP
📖 Repo: https://t.co/ZKWqaoHb9M
📁 Docs: https://t.co/ciKzpLVUN1
A short🧵
Check our latest paper in @J_A_C_S ! We used enhanced simulation techniques to unravel the complex, multistep chemistry of donor-acceptor Stenhouse adducts. Thanks to David Sanchez, @mtzlab & @GroupParrinello. Paper: https://t.co/yeAFCy2e65
Here our Supplementary Cover🚀
Check the preprint of our latest work on catalyzed Ammonia decomposition on Lithium Imide surfaces by @ManyiYang@uraucci87⚗️
We propose a dynamic description of heterogeneous catalysis based on 'ab-initio quality' NN-potential MD simulations 🤖
@IITalk
https://t.co/ePaZ1anM4Z