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American Chemical Society (ACS)

Physics-informed design of drug-excipient nanoparticles via free energy calculation and yoked deep learning

Publication ,  Preprint
Xiang, Y; Zhang, Z; Stiepel, RT; Potnis, CS; Onweller, LA; Laforet Jr., JR; Gowda, H; Reker, D
April 6, 2026

Duke Scholars

DOI

Publication Date

April 6, 2026
 

Citation

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Xiang, Y., Zhang, Z., Stiepel, R. T., Potnis, C. S., Onweller, L. A., Laforet Jr., J. R., … Reker, D. (2026). Physics-informed design of drug-excipient nanoparticles via free energy calculation and yoked deep learning. American Chemical Society (ACS). https://doi.org/10.26434/chemrxiv.15001656/v1
Xiang, Yan, Zilu Zhang, Rebeca T. Stiepel, Chinmay S. Potnis, Lauren A. Onweller, Joseph R. Laforet Jr., Hrshita Gowda, and Daniel Reker. “Physics-informed design of drug-excipient nanoparticles via free energy calculation and yoked deep learning.” American Chemical Society (ACS), April 6, 2026. https://doi.org/10.26434/chemrxiv.15001656/v1.
Xiang Y, Zhang Z, Stiepel RT, Potnis CS, Onweller LA, Laforet Jr. JR, et al. Physics-informed design of drug-excipient nanoparticles via free energy calculation and yoked deep learning. American Chemical Society (ACS). 2026.
Xiang, Yan, et al. “Physics-informed design of drug-excipient nanoparticles via free energy calculation and yoked deep learning.” American Chemical Society (ACS), 6 Apr. 2026. Crossref, doi:10.26434/chemrxiv.15001656/v1.
Xiang Y, Zhang Z, Stiepel RT, Potnis CS, Onweller LA, Laforet Jr. JR, Gowda H, Reker D. Physics-informed design of drug-excipient nanoparticles via free energy calculation and yoked deep learning. American Chemical Society (ACS). 2026.

DOI

Publication Date

April 6, 2026