Aakash Naik

Ph.D Student at @BAMResearch @MolecularXtal research group
Affiliated to @UniJena

[Aakash Naik @aakashnaik23]

Further details on the content can be found here : https://t.co/Xh7jNWsSUY

[Aakash Naik @aakashnaik23]

Looking forward to presenting my PhD research at #S25MRS tomorrow! Excited to share my findings and engage in constructive discussions with the community

[Aakash Naik @aakashnaik23]

My talk will be part of the "Inclusion of domain knowledge and Physical theory in machine learning" symposium on April 9th at 16:30.

[John Gardner @jla_gardner]

🚨 Introducing graph-pes: a unified framework for building, training and using graph-based machine-learned models of potential energy surfaces! 🚨

#compchem #ML

[Ben Blaiszik @BenBlaiszik]

Thank you to all the amazing participants in this work! It's truly an honor to build all of this with you.

📰https://t.co/bAqU3hMvAp

[David Scanlon @scanlond81]

PLEASE RETWEET: Come and spend 3.5 years in our group using DFT and AI/ML to find and characterise new wide band gap oxides for optoelectronics, in our shiny office in our fancy new building! @UoBChemistry @uob_bear https://t.co/U2ztEZ9gP3 Photo credit to @prslaterchem!

[Aakash Naik @aakashnaik23]

@BAMResearch @MolecularXtal @ERC_Research Congratulations 🥳

[Philipp Benner @PhilippBenner2]

We're looking for a talented postdoc to join our eScience group! If you have strong skills in machine learning and excellent programming abilities, we want to hear from you. We are a diverse team and offer many challenging projects!
https://t.co/2amGHBgmMt

[Yuxing Zhou @yux_Zhou]

Want to use ACE but don’t have sufficient experience with the hyperparameters? XPOT might be a good starting point! Check our latest preprint on hyperparameter optimisation using XPOT. Other interesting works will follow 🙌🏻

[BAM_DE @BAMResearch]

Dr. Lucia Casali @casali_lucia (Federal Institute for Materials Research and Testing) @BAMResearch explains how to break the wall of pharmaceutical manufacturing by using innovative mechanochemical processes to synthesize green active pharmaceutical ingredients.
@FallingWallsLab

[Aakash Naik @aakashnaik23]

A huge thank you to all the organizers and participants for making this hackathon such a valuable learning experience! 🙌 @HumboldtUni #LLMHackathon2024 #AI4Science #MaterialsScience #Chemistry

[Aakash Naik @aakashnaik23]

Excited to share our experience from the "LLM Applications in Materials and Chemistry 2024" hackathon this week! Me and Katharina Ueltzen went into this event as a team from the @MolecularXtal group at @BAMResearch in #Berlin

[Aakash Naik @aakashnaik23]

🌟 This hackathon was an invaluable experience! Learned new skills and made valuable contacts, and we are excited to continue refining our model and exploring its potential applications!

[Aakash Naik @aakashnaik23]

It's been a rewarding collaborative effort, and I'm grateful to have contributed. This journey has been a valuable learning experience. I'm eager to see how it develops further. If you have any suggestions or further feature requests, feel free to reach out to us!

[Janosh @jrib_]

1st pymatgen release of the year v2024.1.26 now on PyPI! Big thanks to @alexganose for a significant (backwards compatible!) refactor of the VASP input sets (to enable merging atomate2 input sets into pmg). Also in this release: over a dozen bug fixes, ... https://t.co/XfxGe2oOtC

[Aakash Naik @aakashnaik23]

@MolecularXtal Happy new year 🥳