Data of "Physics-constrained deep learning recognition of geochemical patterns"

NIAID Data Ecosystem2026-05-02 收录

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The raw data of paper "Physics-constrained deep learning recognition of geochemical patterns"

创建时间：

2024-07-19

Data of "Physics-constrained deep learning recognition of geochemical patterns"

The raw data of paper "Physics-constrained deep learning recognition of geochemical patterns"

Zenodo2021-03-30 更新00

Data of "Physics-constrained deep learning recognition of geochemical patterns"

The raw data of paper "Physics-constrained deep learning recognition of geochemical patterns"

Zenodo2021-03-30 更新00

Label-free timing analysis of SiPM-based modularized detectors with physics-constrained deep learning

Pulse timing is an important topic in nuclear instrumentation, with far-reaching applications from high energy physics to radiation imaging. While high-speed analog-to-digital converters become more

DataONE2026-01-19 更新50

Data of "Physics-constrained deep learning recognition of geochemical patterns"

The raw data of paper "Physics-constrained deep learning recognition of geochemical patterns"

Zenodo2021-03-30 更新00

Deep autoencoders for physics-constrained data-driven nonlinear materials modeling

Physics-constrained data-driven computing is an emerging computational paradigm that allows simulation of complex materials directly based on material database and bypass the classical constitutive mo

DataCite Commons2026-01-07 更新00