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. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: Adv Mater. 2019 Jul 9;32(13):e1901989. doi: 10.1002/adma.201901989

Figure 4.

Figure 4

Computational methods contribute to various aspects of nanoparticle design. Current machine-learning algorithms and computational models provide tools for predicting the nanoparticles' size and charge, drug encapsulation efficiency, interactions with biological membranes, biological fluids and drug release kinetics.