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G-DaM: A Distributed Data Storage with Blockchain Framework for Management of Groundwater Quality Data
Authors discuss their use of a distributed and decentralized architecture to store the statistics, perform double hashing, and implement access control through smart contracts to forecast groundwater availability. Their work demonstrates a modern and innovative approach combining Distributed Data Storage and Blockchain technologies to overcome traditional data sharing, and centralized storage, while addressing blockchain limitations.
Date:
November 11, 2022
Creator:
Vangipuram, Sukrutha L. T.; Mohanty, Saraju P.; Kougianos, Elias & Ray, Chittaranjan
System:
The UNT Digital Library
Reweighted Manifold Learning of Collective Variables from Enhanced Sampling Simulations
Article provides a general reweighting framework based on anisotropic diffusion maps for manifold learning that takes into account that the learning data set is sampled from a biased probability distribution. The authors show that their proposed framework can be used in many manifold learning techniques on data from both standard and enhanced sampling simulations.
Date:
November 11, 2022
Creator:
Rydzewski, Jakub; Chen, Ming; Ghosh, Tushar K. & Valsson, Omar
System:
The UNT Digital Library