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Dye-filled boron nitride nanotubes aren't the optically-bright J-aggregates we hoped for, but instead form structurally heterogeneous confined ensembles with suppressed radiative rates.
AI is poised to revolutionize protein dynamics research, but key challenges remain in ensuring scalability, thermodynamic consistency, and kinetic fidelity.
Sampling plausible configurations of digital twins can reveal multiple valid parameterizations, enhancing model adaptation in complex natural systems.
Dramatically improve protein language models by simply post-training them to align with protein graphs, yielding a 59% increase in contact prediction accuracy.
