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

Exploiting redundancy in large materials datasets for efficient machine learning with less data

利用大型材料数据集中的冗余信息，以更少的数据实现高效的机器学习。

期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-023-42992-y
Li, Kangming; Persaud, Daniel; Choudhary, Kamal; DeCost, Brian; Greenwood, Michael; Hattrick-Simpers, Jason
发表日期：2023
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Aggressively optimizing validation statistics can degrade interpretability of data-driven materials models

过度优化验证统计数据可能会降低数据驱动材料模型的可解释性。

期刊:Journal of Chemical Physics
影响因子:3.1
doi:10.1063/5.0050885
Lei, Katherine; Joress, Howie; Persson, Nils; Hattrick-Simpers, Jason R; DeCost, Brian
发表日期：2021
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Characterization data of an (AlFeNiTiVZr)(1-x)Cr(x) multi-principal element alloy continuous composition spread library

(AlFeNiTiVZr)(1-x)Cr(x)多主元合金连续成分扩展库的表征数据

期刊:Data in Brief
影响因子:1.4
doi:10.1016/j.dib.2021.106758
Ruiz-Yi, Benjamin; Williams, Travis; Bunn, Jonathan Kenneth; Ren, Fang; Hasan, Naila Al; Takeuchi, Ichiro; Hattrick-Simpers, Jason; Mehta, Apurva
发表日期：2021
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On-the-fly closed-loop materials discovery via Bayesian active learning

通过贝叶斯主动学习实现即时闭环材料发现

期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-020-19597-w
Kusne, A Gilad; Yu, Heshan; Wu, Changming; Zhang, Huairuo; Hattrick-Simpers, Jason; DeCost, Brian; Sarker, Suchismita; Oses, Corey; Toher, Cormac; Curtarolo, Stefano; Davydov, Albert V; Agarwal, Ritesh; Bendersky, Leonid A; Li, Mo; Mehta, Apurva; Takeuchi, Ichiro
发表日期：2020
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A High-Throughput Structural and Electrochemical Study of Metallic Glass Formation in Ni-Ti-Al

对Ni-Ti-Al合金中金属玻璃形成进行高通量结构和电化学研究

期刊:ACS Combinatorial Science
影响因子:
doi:10.1021/acscombsci.9b00215
Joress, Howie; DeCost, Brian L; Sarker, Suchismita; Braun, Trevor M; Jilani, Sidra; Smith, Ryan; Ward, Logan; Laws, Kevin J; Mehta, Apurva; Hattrick-Simpers, Jason R
发表日期：2020
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Exploring the First High-Entropy Thin Film Libraries: Composition Spread-Controlled Crystalline Structure

探索首批高熵薄膜库：成分扩散控制的晶体结构

期刊:ACS Combinatorial Science
影响因子:
doi:10.1021/acscombsci.0c00159
Nguyen, Thi Xuyen; Su, Yen-Hsun; Hattrick-Simpers, Jason; Joress, Howie; Nagata, Takahiro; Chang, Kao-Shuo; Sarker, Suchismita; Mehta, Apurva; Ting, Jyh-Ming
发表日期：2020
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Scientific AI in Materials Science: a Path to a Sustainable and Scalable Paradigm

材料科学中的科学人工智能：通往可持续和可扩展范式的道路

期刊:
影响因子:
doi:10.1088/2632-2153/ab9a20
DeCost, B L; Hattrick-Simpers, J R; Trautt, Z; Kusne, A G; Campo, E; Green, M L
发表日期：2020
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Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics

人工智能时代的材料科学：高通量库构建、机器学习以及从相关性到基础物理的路径

期刊:MRS Communications
影响因子:2.3
doi:10.1557/mrc.2019.95
Vasudevan, Rama K; Choudhary, Kamal; Mehta, Apurva; Smith, Ryan; Kusne, Gilad; Tavazza, Francesca; Vlcek, Lukas; Ziatdinov, Maxim; Kalinin, Sergei V; Hattrick-Simpers, Jason
发表日期：2019
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Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments

通过机器学习和高通量实验的迭代加速金属玻璃的发现

期刊:Science Advances
影响因子:12.5
doi:10.1126/sciadv.aaq1566
Ren, Fang; Ward, Logan; Williams, Travis; Laws, Kevin J; Wolverton, Christopher; Hattrick-Simpers, Jason; Mehta, Apurva
发表日期：2018
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A combinatorial characterization scheme for high-throughput investigations of hydrogen storage materials

一种用于高通量研究储氢材料的组合表征方案

期刊:Science and Technology of Advanced Materials
影响因子:6.9
doi:10.1088/1468-6996/12/5/054207
Hattrick-Simpers, Jason R; Tan, Zhuopeng; Oguchi, Hiroyuki; Chiu, Chun; Heilweil, Edwin J; Maslar, James E; Bendersky, Leonid A
发表日期：2011
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