J. Deneault

Synthesis of a Two-Component Carbosilane System for the Advanced Manufacturing of Polymer-Derived Ceramics

H. Koerner, P. Nikolaev, L. Rueschhoff, 2018, Chemistry of Materials.

Insights into capacitance variance mechanisms via a machine learning-biased evolutionary approach

David Yoo, P. Buskohl, N. Glavin, 2020 .

Free-standing arrays of isolated TiO2 nanotubes through supercritical fluid drying.

M. Durstock, C. Wai, Joanna Wang, 2012, Chemphyschem : a European journal of chemical physics and physical chemistry.

Protein‐Enabled Layer‐by‐Layer Syntheses of Aligned, Porous‐Wall, High‐Aspect‐Ratio TiO2 Nanotube Arrays

K. Sandhage, J. D. Berrigan, M. Durstock, 2011 .

Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

Tonio Buonassisi, Zhe Liu, Qiaohao Liang, 2021, npj Computational Materials.

Toward autonomous additive manufacturing: Bayesian optimization on a 3D printer

Jay I. Myung, M. Pitt, D. Hooper, 2021, MRS Bulletin.

Mapping drift in morphology and electrical performance in aerosol jet printing

David Yoo, P. Buskohl, N. Glavin, 2021, Progress in Additive Manufacturing.

Conversion of porous anodic Al2O3 into freestanding, uniformly aligned, multi-wall TiO2 nanotube arrays for electrode applications

K. Sandhage, M. Durstock, Taylor McLachlan, 2013 .

Shape‐Reprogrammable Polymers: Encoding, Erasing, and Re‐Encoding

R. Vaia, Ryan R. Kohlmeyer, M. Durstock, 2014, Advanced materials.