日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Predicting Properties from Near-Infrared Spectra with Machine Learning for Improved Polyolefin Differentiation

利用机器学习从近红外光谱预测性能以改进聚烯烃的区分

Li, Shuaijun; Ivancic, Robert J S; Sutliff, Bradley P; Huang, Derek; Blázquez-Blázquez, Enrique; Martin, Tyler B; Migler, Kalman B; Audus, Debra J; Orski, Sara V

Enabling data-driven design of block copolymer self-assembly

实现嵌段共聚物自组装的数据驱动设计

Magosso, Chiara; Murataj, Irdi; Perego, Michele; Seguini, Gabriele; Audus, Debra J; Milano, Gianluca; Ferrarese Lupi, Federico

The Importance of Branch Placement on the Dilute Solution Properties of Comb-like Macromolecules

支链位置对梳状大分子稀溶液性质的重要性

Ivancic, Robert J S; Thompson, Chase B; Golla, Devin A; Koroma, Bintou; Douglas, Jack F; Orski, Sara V; Audus, Debra J

Predicting compatibilized polymer blend toughness

预测相容化聚合物共混物的韧性

Ivancic, Robert J S; Audus, Debra J

Calculating Pairwise Similarity of Polymer Ensembles via Earth Mover's Distance

利用土方距离计算聚合物集合体的成对相似性

Shi, Jiale; Walsh, Dylan; Zou, Weizhong; Rebello, Nathan J; Deagen, Michael E; Fransen, Katharina A; Gao, Xian; Olsen, Bradley D; Audus, Debra J

Community Resource for Innovation in Polymer Technology (CRIPT): A Scalable Polymer Material Data Structure

聚合物技术创新社区资源(CRIPT):一种可扩展的聚合物材料数据结构

Walsh, Dylan J; Zou, Weizhong; Schneider, Ludwig; Mello, Reid; Deagen, Michael E; Mysona, Joshua; Lin, Tzyy-Shyang; de Pablo, Juan J; Jensen, Klavs F; Audus, Debra J; Olsen, Bradley D

Emerging Trends in Machine Learning: A Polymer Perspective

机器学习的新兴趋势:聚合物视角

Martin, Tyler B; Audus, Debra J

Structure-dilute solution property relationships of comb-like macromolecules in a good solvent

梳状大分子在良溶剂中的结构-稀溶液性质关系

Ivancic, Robert J S; Orski, Sara V; Audus, Debra J

Leveraging Theory for Enhanced Machine Learning

利用理论增强机器学习

Audus, Debra J; McDannald, Austin; DeCost, Brian

Valence, loop formation and universality in self-assembling patchy particles

自组装斑块状粒子的价态、环状结构形成和普适性

Audus, Debra J; Starr, Francis W; Douglas, Jack F