A synergistic workflow of simulations, rheology experiments, and active-learning Gaussian processes is proposed to efficiently explore and predict the design space for tunable DNA-based soft matter fluids.
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2026 1verdicts
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Synergistic approach to probing the dynamics and mechanics of patchy soft matter
A synergistic workflow of simulations, rheology experiments, and active-learning Gaussian processes is proposed to efficiently explore and predict the design space for tunable DNA-based soft matter fluids.