Hot Spots and Persistence of Nitrate in Aquifers Across Scales. - Dipankar Dwivedi; Binayak P. Mohanty (Entropy, 2016)

Identifying geochemical hot moments and their controls on a contaminated river floodplain system using wavelet and entropy approaches. - Bhavna Arora; Dipankar Dwivedi; Susan S. Hubbard; Carl I. Steefel; Kenneth H. Williams (Environ. Model. Softw., 2016)

Challenges in Building an End-to-End System for Acquisition, Management, and Integration of Diverse Data From Sensor Networks in Watersheds: Lessons From a Mountainous Community Observatory in East River, Colorado. - Charuleka Varadharajan; Boris Faybishenko; Amanda Henderson; Matthew Henderson; Valerie C. Hendrix; Susan S. Hubbard; Zarine Kakalia; Alexander Newman; Benjamin Potter; Heidi Steltzer; Roelof Versteeg; Deborah A. Agarwal; et al. (IEEE Access, 2019)

Detecting control system misbehavior by fingerprinting programmable logic controller functionality. - Melissa Stockman; Dipankar Dwivedi; Reinhard Gentz; Sean Peisert (Int. J. Crit. Infrastructure Prot., 2019)

A machine learning approach for packet loss prediction in science flows. - Anna Giannakou; Dipankar Dwivedi; Sean Peisert (Future Gener. Comput. Syst., 2020)

Learning from learning machines: a new generation of AI technology to meet the needs of science. - Luca Pion-Tonachini; Kristofer E. Bouchard; Héctor García Martín; Sean Peisert; W. Bradley Holtz; Anil Aswani; Dipankar Dwivedi; Haruko M. Wainwright; Ghanshyam Pilania; Benjamin Nachman; Babetta L. Marrone; Nicola Falco; et al. (CoRR, 2021)

Guidelines for Publicly Archiving Terrestrial Model Data to Enhance Usability, Intercomparison, and Synthesis. - Maegen B. Simmonds; William J. Riley; Deborah A. Agarwal; Xingyuan Chen; Shreyas Cholia; Robert Crystal-Ornelas; Ethan T. Coon; Dipankar Dwivedi; Valerie C. Hendrix; Maoyi Huang; Ahmad Jan; Zarine Kakalia; et al. (Data Sci. J., 2022)

Differentiable modeling to unify machine learning and physical models and advance Geosciences. - Chaopeng Shen; Alison P. Appling; Pierre Gentine; Toshiyuki Bandai; Hoshin V. Gupta; Alexandre Tartakovsky; Marco Baity-Jesi; Fabrizio Fenicia; Daniel Kifer; Li Li; Xiaofeng Liu; Wei Ren; et al. (CoRR, 2023)

Baseflow identification via explainable AI with Kolmogorov-Arnold networks. - Chuyang Liu; Tirthankar Roy; Daniel M. Tartakovsky; Dipankar Dwivedi (CoRR, 2024)

GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction. - Su Jiang; Chuyang Liu; Dipankar Dwivedi (CoRR, 2024)