Unveiling Latent Chemical Mechanisms: Hybrid Modeling for Estimating Spatiotemporally Varying Parameters in Moving Boundary Problems
Author:
Affiliation:
1. Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States
2. Texas A&M Energy Institute, 1617 Research Pkwy, College Station, Texas 77843, United States
Funder
Energy Institute, Texas A and M University
Artie McFerrin Department of Chemical Engineering, Texas A and M University
Publisher
American Chemical Society (ACS)
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.3c03531
Reference75 articles.
1. New travelling wave solutions of the Porous–Fisher model with a moving boundary
2. Biologically-informed neural networks guide mechanistic modeling from sparse experimental data
3. Optimal pumping schedule with high-viscosity gel for uniform distribution of proppant in unconventional reservoirs
4. Stochastic optimal control of mesostructure of supramolecular assemblies using dissipative particle dynamics and dynamic programming with experimental validation
5. Temporal clustering for order reduction of nonlinear parabolic PDE systems with time‐dependent spatial domains: Application to a hydraulic fracturing process
Cited by 11 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. Data-driven plant-model mismatch detection for dynamic matrix control systems using sum-of-norms regularization;Computers & Chemical Engineering;2024-11
2. Leveraging neural networks to estimate parameters with confidence intervals;The Canadian Journal of Chemical Engineering;2024-08-07
3. Sustainable Isopropyl Alcohol Recovery via Data-Driven, Active-Learning Optimization of Vacuum Membrane Distillation;ACS Sustainable Chemistry & Engineering;2024-07-21
4. Empowering Hybrid Models with Attention-Based Time-series Transformers: A Case Study in Batch Crystallization;2024 American Control Conference (ACC);2024-07-10
5. A Hybrid Modeling Framework for Catalytic Systems: Sensitivity Analysis and Estimation of Activation Energies;2024 American Control Conference (ACC);2024-07-10
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