output
20212026
most citedEstimating random close packing in polydisperse and bidisperse hard spheres via an equilibrium model of crowding

43 citations

5 papers

cs.CY2026★ 5 cited

Navigating the muddy waters of bias in artificial intelligence research: Understanding divergent meanings and conceptions

Mohammad Hossein Jarrahi, Amir Karami, Patrick Conway +2

As artificial intelligence (AI) pervades many decision-making domains, AI bias grows in importance. Although there is increasing awareness of the social and ethical consequences of…

stat.AP2025

Toward precision soil health: A regional framework for site-specific management across Missouri

Dipal Shah, Jordon Wade, Timothy Haithcoat +2

Effective soil health management is crucial for sustaining agriculture, adopting ecosystem resilience, and preserving water quality. However, Missouri's diverse landscapes limit th…

cond-mat.soft2023★ 43 cited

Estimating random close packing in polydisperse and bidisperse hard spheres via an equilibrium model of crowding

Carmine Anzivino, Mathias Casiulis, Tom Zhang +3

We show that an analogy between crowding in fluid and jammed phases of hard spheres captures the density dependence of the kissing number for a family of numerically generated jamm…

physics.bio-ph2021

Physics-Informed Deep Learning Characterizes Morphodynamics of Asian Soybean Rust Disease

Henry Cavanagh, Andreas Mosbach, Gabriel Scalliet +2

Medicines and agricultural biocides are often discovered using large phenotypic screens across hundreds of compounds, where visible effects of whole organisms are compared to gauge…

q-bio.QM2021★ 9 cited

Considerations for using reproduction data in toxicokinetic-toxicodynamic modelling

Tjalling Jager, Marie Trijau, Neil Sherborne +2

Toxicokinetic-toxicodynamic (TKTD) modelling is essential to make sense of the time dependence of toxic effects, and to interpret and predict consequences of time-varying exposure.…