Zatom-2: Multitask Pretraining on Atomistic Data for Generative Modeling across Domains
Unified atomistic modeling has the potential to accelerate discovery in chemistry, materials science, and biology by bridging data-rich chemical domains and data-scarce biological contexts. However, existing generative approaches to atomistic modeling remain highly specialized to scientific disciplines (chemistry vs. b...
M. Cretu, A. Abrudan, Antonia Panescu et al.
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