Model
CrystalFlow
A deep generative model for crystal structure prediction, serving as one of the comparison baselines for TCSP3.0.
Timeline (last 90 days)
Oct 27
On T180, TCSP3.0's Top-1 match rate (72.2%) outperforms PNcsp+ and the deep generative models CrystalFlow and MaskGXT (at most 63.9%).
Unverified50%
Oct 27
Even without relaxation, TCSP3.0 achieves Top-1 67.8% and Top-20 90.6% with a median time of only 28 seconds per target on a dual-core CPU, about ten times faster than CrystalFlow.
Unverified50%
All Facts (2)
Unverified
On T180, TCSP3.0's Top-1 match rate (72.2%) outperforms PNcsp+ and the deep generative models CrystalFlow and MaskGXT (at most 63.9%).
50%UnverifiedEven without relaxation, TCSP3.0 achieves Top-1 67.8% and Top-20 90.6% with a median time of only 28 seconds per target on a dual-core CPU, about ten times faster than CrystalFlow.
50%