Submissions from 2023
Machine Learning-Enabled Regional Multi-Hazards Risk Assessment Considering Social Vulnerability, Tianjie Zhang, Donglei Wang, and Yang Lu
RheologyNet: A Physics-Informed Neural Network Solution to Evaluate the Thixotropic Properties of Cementitious Materials, Tianjie Zhang, Donglei Wang, and Yang Lu
A Bayesian Framework for Subsidence Modeling in Sedimentary Basins: A Case Study of the Tonian Akademikerbreen Group of Svalbard, Norway, Tianran Zhang, C. Brenhin Keller, Mark J. Hoggard, Alan D. Rooney, Galen P. Halverson, Kristin D. Bergmann, James L. Crowley, and Justin V. Strauss
Polyhedral Specification and Code Generation of Sparse Tensor Contraction with Co-Iteration, Tuowen Zhao, Tobi Popoola, Mary Wolcott Wolcott Hall, Catherine Mills Olschanowsky, and Michelle Mills Strout
Operando Study of Mechanical Integrity of High-Volume Expansion Li-Ion Battery Anode Materials Coated by Al2O3, Xinwei Zhou, Liliana Stan, Dewen Hou, Yang Jin, Hui Xiong, Likun Zhu, and Yuzi Liu
Loading Direction Dependence of Asymmetric Response of < c+a > Pyramidal Slip in Rolled AZ31 Magnesium Alloy, Yuzhi Zhu, Dewen Hou, Kaixuan Chen, and Zidong Wang
Reproductive Inequality in Humans and Other Mammals, John Ziker and Karl J. Mertens
The Siberian World, John P. Ziker, Jenanne Ferguson, and Vladimir Davydov
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification, Jie Zou, Mohammad Aliannejadi, Evangelos Kanoulas, Maria Soledad Pera, and Yiqun Liu