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M

Maruti Kumar Mudunuru

Pacific Northwest National Laboratory

16H指数
171论文数
835被引数
收录论文 19
发表时间
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Reactive Transport Modeling with Physics-Informed Machine Learning for Critical Minerals Applications基于物理信息机器学习的反应性输运建模及其在关键矿产应用中的应用
errTransport in Porous Media
IF2.6
err2026-03-13
err0
PREAI
errKripa Adhikari; Md. Lal Mamud; Maruti Kumar Mudunuru; Kalyana B. Nakshatrala
err分享
err收藏
From pixels to patterns: Coupling Optical Coherence Tomography and machine learning for monitoring coastal wetland root systems从像素到模式：结合光学相干层析成像和机器学习监测沿海湿地根系系统
errScience of The Total Environment
IF8
err2025-08-26
err0
errOAAI
errMohamed O. Hassan; Aramy Truong; Maruti Mudunuru; Leslie G. Butler; Andre Rovai; Curtis Larimer; Joseph Daddona; Amir Ahkami; Jay Bardhan; Tamas Varga; Kelly Stratton; Satish Karra; Robert Twilley; Navid H. Jafari
err分享
err收藏
Molecular diversity of dissolved organic matter reflects macroecological patterns in river networks溶解性有机物的分子多样性反映了河流网络中的宏观生态模式
errScientific Reports
IF3.9
err2025-07-25
err0
errOAAI
errErika C. Freeman; Maruti K. Mudunuru; Kelli L. Feeser; Emily Ann McClure; Ricardo González-Pinzón; Christopher S. Ward; Eric M. Bottos; Stefan Krause; Jasquelin Peña; Michelle E. Newcomer
err分享
err收藏
Quantifying local and global mass balance errors in physics-informed neural networks量化物理信息神经网络中的局部和全局质量平衡误差
errSCIENTIFIC REPORTS
IF3.9
err2024-07-05
err1
errOAAI
errMamud, M. L.; Mudunuru, M. K.; Karra, S.; Ahmmed, B.
err分享
err收藏
Deep learning with mixup augmentation for improved pore detection during additive manufacturing
errSCIENTIFIC REPORTS
IF3.9
err2024-06-11
err3
errOAAI
errAhmmed, Bulbul; Rau, Elisabeth G.; Mudunuru, Maruti K.; Karra, Satish; Tempelman, Joshua R.; Wachtor, Adam J.; Forien, Jean-Baptiste; Guss, Gabe M.; Calta, Nicholas P.; Depond, Phillip J.; Matthews, Manyalibo J.
err分享
err收藏
CoolPINNs: A physics-informed neural network modeling of active cooling in vascular systemsCoolPINNs: 血管系统主动冷却的物理通知神经网络建模
errAPPLIED MATHEMATICAL MODELLING
IF5.1
err2023-10-01
err3
errOAAI
errJagtap, Nimish, V; Mudunuru, M. K.; Nakshatrala, K. B.
err分享
err收藏
Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado
errHYDROLOGY AND EARTH SYSTEM SCIENCES
IF5.8
err2023-07-19
err13
errOAAI
errJiang, Peishi; Shuai, Pin; Sun, Alexander; Mudunuru, Maruti K.; Chen, Xingyuan
err分享
err收藏
Frost prediction using machine learning and deep neural network models
errFRONTIERS IN ARTIFICIAL INTELLIGENCE
IF4.7
err2023-01-12
err14
errOAAI
errTalsma, Carl J.; Solander, Kurt C.; Mudunuru, Maruti K.; Crawford, Brandon; Powell, Michelle R.
err分享
err收藏
Discovering hidden geothermal signatures using non-negative matrix factorization with customized k-means clustering
errGEOTHERMICS
IF3.9
err2022-12-01
err6
errOAAI
errVesselinov, V. V.; Ahmmed, B.; Mudunuru, M. K.; Pepin, J. D.; Burns, E. R.; Siler, D. L.; Karra, S.; Middleton, R. S.
err分享
err收藏
Deep learning to estimate permeability using geophysical data
errADVANCES IN WATER RESOURCES
IF4.2
err2022-09-01
err10
errOAAI
errMudunuru, M. K.; Cromwell, E. L. D.; Wang, H.; Chen, X.
err分享
err收藏
A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
errSCIENTIFIC REPORTS
IF3.9
err2021-11-05
err30
errOAAI
errSrinivasan, Shriram; O'Malley, Daniel; Mudunuru, Maruti K.; Sweeney, Matthew R.; Hyman, Jeffrey D.; Karra, Satish; Frash, Luke; Carey, J. William; Gross, Michael R.; Guthrie, George D.; Carr, Timothy; Li, Liwei; Viswanathan, Hari S.
err分享
err收藏
A comparative study of machine learning models for predicting the state of reactive mixing
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-05-01
err9
errOAAI
errAhmmed, B.; Mudunuru, M. K.; Karra, S.; James, S. C.; Vesselinov, V. V.
err分享
err收藏
Physics-informed machine learning models for predicting the progress of reactive-mixing
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2021-02-01
err5
errOAAI
errMudunuru, M. K.; Karra, S.
err分享
err收藏
Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing基于非负张量分解的无监督机器学习分析反应混合
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2019-10-01
err30
errOAAI
errVesselinov, V. V.; Mudunuru, M. K.; Karra, S.; O'Malley, D.; Alexandrov, B. S.
err分享
err收藏
Reduced-order modeling through machine learning and graph-theoretic approaches for brittle fracture applications
errCOMPUTATIONAL MATERIALS SCIENCE
IF3.3
err2019-02-01
err38
errOAAI
errHunter, Abigail; Moore, Bryan A.; Mudunuru, Maruti; Chau, Viet; Tchoua, Roselyne; Nyshadham, Chandramouli; Karra, Satish; O'Malley, Daniel; Rougier, Esteban; Viswanathan, Hari; Srinivasan, Gowri
err分享
err收藏
Regression-based reduced-order models to predict transient thermal output for enhanced geothermal systems
errGEOTHERMICS
IF3.9
err2017-11-01
err17
errOAAI
errMudunuru, M. K.; Karra, S.; Harp, D. R.; Guthrie, G. D.; Viswanathan, H. S.
err分享
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On mesh restrictions to satisfy comparison principles, maximum principles, and the non-negative constraint: Recent developments and new results
errMECHANICS OF ADVANCED MATERIALS AND STRUCTURES
IF0
err2016-09-22
err13
errOAAI
errMudunuru, Maruti; Nakshatrala, Kalyana Babu
err分享
err收藏
On enforcing maximum principles and achieving element-wise species balance for advection-diffusion-reaction equations under the finite element method关于在有限元方法下对对流扩散反应方程执行最大原理并实现逐元素物种平衡
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2016-01-01
err28
errOAAI
errMudunuru, M. K.; Nakshatrala, K. B.
err分享
err收藏
A numerical framework for diffusion-controlled bimolecular-reactive systems to enforce maximum principles and the non-negative constraint
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2013-11-01
err27
errOAAI
errNakshatrala, K. B.; Mudunuru, M. K.; Valocchi, A. J.
err分享
err收藏

研究方向

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合作期刊
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Robert R. Twilley
H 指数: 66 · 论文数: 310
S
Stefan Krause
H 指数: 61 · 论文数: 658
A
Albert J. Valocchi
H 指数: 59 · 论文数: 338
M
Manyalibo J. Matthews
H 指数: 57 · 论文数: 270
H
Hari Viswanathan
H 指数: 54 · 论文数: 415
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