Software Open Access

Predicting instability-driven dynamics from sparse measurements: Code and Data

Sequeira, Miguel; Erb, Denise; Facsko, Stefan


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Sequeira, Miguel</dc:creator>
  <dc:creator>Erb, Denise</dc:creator>
  <dc:creator>Facsko, Stefan</dc:creator>
  <dc:date>2025-11-13</dc:date>
  <dc:description>This repository contains the experimental AFM datasets and the PINN-ShiftNet code used in the manuscript Predicting Instability-Driven Dynamics from Sparse Measurements.

This repository is also in https://github.com/m-sequeira/PINN-ShiftNet

├─ PINN_ShiftNet/  
│  └─ (code files)  
├─ data/  
│  └─ (raw and png experimental AFM data)  
├─ README.md  </dc:description>
  <dc:identifier>https://rodare.hzdr.de/record/4120</dc:identifier>
  <dc:identifier>10.14278/rodare.4120</dc:identifier>
  <dc:identifier>oai:rodare.hzdr.de:4120</dc:identifier>
  <dc:relation>doi:10.17815/jlsrf-3-159</dc:relation>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-42223</dc:relation>
  <dc:relation>doi:10.14278/rodare.4119</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/fwi</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/ibc</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>Predicting instability-driven dynamics from sparse measurements: Code and Data</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
</oai_dc:dc>
34
0
views
downloads
All versions This version
Views 3434
Downloads 00
Data volume 0 Bytes0 Bytes
Unique views 3131
Unique downloads 00

Share

Cite as