Ziheng Lu

Ex. Principal Researcher @ Microsoft Research AI4Science, materials science, deep learning.

[Ziheng Lu @luzihen]

@rpinsler congrats to the team!

[Robert Pinsler @rpinsler]

Excited to announce major #MatterSim updates!
👩‍🔬 Experimentally synthesized high thermal conductor identified by MatterSim
⚡️ 3-5x inference speed-up
💪 MatterSim-MT: a new multi-task foundation model for in silico materials characterization

⬇️ Details below (1/6)

[Ziheng Lu @luzihen]

@jd92wang @amazon @GoogleDeepMind @Google big cong!

[Ziheng Lu @luzihen]

@BenBlaiszik Good point. Big techs are hard to convince as this involves too much commercial interest. Something doable might be calling a special issue of some Nature sister journal dedicated to data… just to raise the incentives of academics.

[Ziheng Lu @luzihen]

@ruben_laplaza ESEN trained on Omat24 performs nicely on hessians. Not sure about UMA….

But I did notice the repo by FAIR is messed up: old ckpts are nowhere to find; training code is missing; no one responds to issues….

[Ziheng Lu @luzihen]

@jrib_ @Kavanagh_Sean_ @bkoz37 Comparison between Nequip and Allegro is very interesting. Were the same network parameters used (to make them comparable)?

[Ziheng Lu @luzihen]

@BenBlaiszik @NSF @ENERGY Good stuff! Are we sure the price on MatterSim is correct though… I would not expect it to be 10x cheaper than other MLFFs on T4….

[Ziheng Lu @luzihen]

@jrib_ Amazing project! Good visualization leads to good discovery! You are now officially my favorite developer! XD

[Ziheng Lu @luzihen]

@jrib_ @RhysGoodall @PhilippBenner2 @cyrusyc_tw @Bowen_D_ @cedergroup huge cong!

[Ziheng Lu @luzihen]

@SamMBlau Amazing work! Congrats, Sam!

[Ziheng Lu @luzihen]

@jrib_ Also, a quick suggestion would be to provide a DFT vs DFT plot on the top (or the bottom) as a reference. It might help understand the task.

[Ziheng Lu @luzihen]

@jrib_ Cool plot! I guess the result will depend on the threshold when determining symmetry?

[Ziheng Lu @luzihen]

@MSFTResearch Paper here: https://t.co/qxHiQlH7Xr

Work done together with amazing @nanophononics

[Microsoft Research @MSFTResearch]

Thermal conductivity is critical in modern electronics, but in a post-Moore’s Law world, the need for novel structures that surpass the heat transfer properties of silicon is essential. Learn how AI is helping scientists discover these next-gen materials. https://t.co/NnDNxHZyGw

[Ziheng Lu @luzihen]

@AdeeshKolluru And congrats!

[Ziheng Lu @luzihen]

@AdeeshKolluru impressive!

[Ziheng Lu @luzihen]

New work in collab w/ great @nanophononics - Saying “hey, stop searching for that material, it does not exist!” is often harder than finding the material itself. With AI and some careful constraints, we try to probe the upper limit of heat transfer in matter

[Davide Donadio @nanophononics]

Using @MSFTResearch MatterSim model, we have explored the upper limits of bulk materials' thermal conductivity. While we found several highly conductive materials, none has a thermal conductivity as high as diamond. @ZNanotheory @luzihen @HongxiaHao
https://t.co/214tDy1sUQ

[Ziheng Lu @luzihen]

@jrib_ @funroll_loops just saw the MatPES paper. searched and found this old post. Good work!

[Ziheng Lu @luzihen]

Checkout MatterSim, TamGen, Aurora on Azure AI Foundry!

[Satya Nadella @satyanadella]

We’re taking our latest AI research breakthroughs and putting them in the hands of devs everywhere, with Azure AI Foundry Labs. https://t.co/W3RkNqS7Vo

[Ziheng Lu @luzihen]

@FrankNoeBerlin Nice! Who drew the logo?