Newell R. Washburn

Johnson & Johnson (United States) — United States

Engineering · Physical Sciences

44h-index6.5kcitations170works4.02yr avg
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Research Topics

Concrete and Cement Materials Research(18), Bone Tissue Engineering Materials(16), Advanced Polymer Synthesis and Characterization(13), biodegradable polymer synthesis and properties(13), Proteoglycans and glycosaminoglycans research(13)

Publications170 total

Classification of Aortic Shape with Topographical Pair Correlation Functions.
PubMed·2025
Effects of workability modifiers blending on fresh properties of limestone metakaolin blended cement
2025Open Access
Bayesian machine learning for inverse design of ultra-high-performance concrete
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences·2025Open Access
Author response for "Machine learning of polyurethane prepolymer viscosity: a comparison of chemical and physicochemical approaches"
2025
Author response for "Machine learning of polyurethane prepolymer viscosity: a comparison of chemical and physicochemical approaches"
2025
Autonomous Determination of Hansen Solubility Parameters via Active Learning
2025Open Access
Pharmacophore-Conditioned Diffusion Model for Ligand-Based De Novo Drug Design
arXiv (Cornell University)·2025Open Access
Mixed dry reverse micelles: potential carriers for oral protein delivery via SEDDS
Drug Delivery and Translational Research·2025· 2 cited
Optimizing hydrophilic drug incorporation into SEDDS using dry reverse micelles: a comparative study of preparation methods
Drug Delivery and Translational Research·2025· 5 cited
Machine learning of polyurethane prepolymer viscosity: a comparison of chemical and physicochemical approaches
Digital Discovery·2025Open Access
Rheology of Limestone Calcined Clay Cements (LC3): Predictive Modeling of Yield Stress and Plastic Viscosity with Machine Learning
Rilem bookseries·2025
Effects of combining water reducing admixtures on workability retention of limestone metakaolin blended cement
SSRN Electronic Journal·2025Open Access
Hydrophobic ion pairing: lipophilicity improvement of anionic macromolecules by divalent cation mediated complex formation
Drug Delivery and Translational Research·2024· 2 cited
Age‐Related ECM Stiffness Mediates TRAIL Activation in Muscle Stem Cell Differentiation
Advanced Biology·2024· 2 citedOpen Access
Chemistry-Inspired Diffusion with Non-Differentiable Guidance
arXiv (Cornell University)·2024· 1 citedOpen Access
Diffusion Models in De Novo Drug Design
Journal of Chemical Information and Modeling·2024· 59 citedOpen Access
Diffusion Models in $\textit{De Novo}$ Drug Design
arXiv (Cornell University)·2024· 1 citedOpen Access
Abstract 1003: Blood Pressure Metrics In Predicting Successful Thoracic Endovascular Aortic Repair
Arteriosclerosis Thrombosis and Vascular Biology·2024
Editorial - Intelligently designing cement and concrete through data analytics
Cement and Concrete Research·2024
The geometric evolution of aortic dissections: Predicting surgical success using fluctuations in integrated Gaussian curvature
PLoS Computational Biology·2024· 7 citedOpen Access
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Frequent Co-authors

Sidi A. Bencherif(8), Hoyong Chung(7), Krzysztof Matyjaszewski(6), Jeffrey O. Hollinger(5), Carl G. Simon(4), Eric J. Amis(4), Abiraman Srinivasan(4), Ferenc Horkay(4), Emily E. Friedrich(4), Paul Glass(3), Metin Sitti(3), Barnabás Póczos(3), Christopher M. Childs(3), Chetali Gupta(3), Scott B. Kennedy(2), Sheng Lin‐Gibson(2), Joseph M. Antonucci(2), Shayna L. Hilburg(2), Rachel Ferebee(2), Michael R. Bockstaller(2)