I’m grateful to Bakar Bio Labs for the opportunity to share what we’re building at Azulene Labs and to be part of such a vibrant community.

#BakarLabs #UCBerkeley #DeepTech #Chemistry #MaterialsScience #Biochem #Biotech #PhysicsAI #AIforScience #MaterialsDiscovery #MolecularDiscovery

Azulene Labs is #hiring ✨ www.linkedin.com/posts/nicola...

#compchem #aiforscience #computationalphysics #physics #molecularmodeling

Boltz-2 made waves in the chemical modeling world last week. It’s a big leap forward—very fast binding energy predictions with decent accuracy. It’s probably capturing some entropic effects implicitly, which is genuinely exciting.

Excited to announce that Azulene Labs is teaming up with the Young Professionals in Energy (SF chapter) and Dunia to host a special Molecules & Materials Meetup—part of Deep Tech Week. 🚀

Space is limited—please register here: lu.ma/2dpllaxe

#DeepTechWeek #Chemistry #MaterialsScience #BioTech

Quick post on quantum algorithms here ⚛️

There’s a common misconception: VQE (Variational Quantum Eigensolver) is “just a NISQ-era algorithm” that will be obsolete once we have fault-tolerant quantum computers. I hear this sentiment from far too many people. It’s simply not true.

Earlier this year we activated noether1 through noether8. These eight nodes are named after Emmy Noether, the revolutionary mathematician.

This expansion accelerates our creation of the world's most predictive AI models in chemicals & materials 🧠

#HPC, #AI, #Science, #MolecularDesign