Prediction of thermal decomposition temperatures using statistical methods-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Prediction of thermal decomposition temperatures using statistical methods

Published:2020 Issue: Volume: Page:
ISSN:0094-243X
Container-title:SHOCK COMPRESSION OF CONDENSED MATTER - 2019: Proceedings of the Conference of the American Physical Society Topical Group on Shock Compression of Condensed Matter
language:
Short-container-title:

Author:

Beste Ariana,Barnes Brian C.

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/12.0000811

Reference41 articles.

1. Y. I. Izato and A. Miyake, Sci Tech. Ener. Mater. 78 (5-6), 143 (2017).

2. V. G. Kiselev, N. V. Muravyev, K. A. Monogarov, P. S. Gribanov, A. F. Asachenko, I. V. Fomenkov, C. F. Goldsmith, A. N. Pivkina, and N. P. Gritsan, Phys. Chem. Chem. Phys. 20 (46), 29285 (2018).

3. J. A. Lazzus, J. Mol. Liq. 168, 87 (2012).

4. K. Mokadem, M. Korichi, and K. Tumba, Chemometr. Intell. Lab. 157, 189 (2016).

5. V. Venkatraman and B. K. Alsberg, J. Mol. Liq. 223, 60 (2016).

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Descriptors applicability in machine learning-assisted prediction of thermal decomposition temperatures for energetic materials: Insights from model evaluation and outlier analysis;Thermochimica Acta;2024-05

2. Overriding Innate Decomposition Temperatures of an Avibactam Prodrug Precursor Using Data Science-Guided Synthesis;Organic Process Research & Development;2024-04-10

3. A review on biomass thermal-oxidative decomposition data and machine learning prediction of thermal analysis;Cleaner Materials;2023-09

4. Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis;Energetic Materials Frontiers;2023-09

5. A Physical Organic Approach towards Statistical Modeling of Tetrazole and Azide Decomposition**;Angewandte Chemie International Edition;2023-03-17

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3