Deep Neural Operator Enabled Concurrent Multitask Design for Multifunctional Metamaterials Under Heterogeneous Fields is a research paper published in Advanced Optical Materials (2024). On theSindex it has a DataRank of 0.536. It has been cited 11 times, with 10 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.373
From this paper's citation signal
Citation Network Contribution
0.163
From 7 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 10 citers.
Division of Civil, Mechanical and Manufacturing Innovation
Grant: 2227641
BRITE Fellow: AI-Enabled Discovery and Design of Programmable Material Systems
Office of Advanced Cyberinfrastructure
Grant: 1835782
Collaborative Research: Framework: Data: HDR: Nanocomposites to Metamaterials: A Knowledge Graph Framework
Office of Advanced Cyberinfrastructure
Grant: 2019035
CC* Compute: Acquisition of a Lehigh University HPC cluster to enhance collaboration, research productivity and educational impact
Division of Mathematical Sciences
Grant: 1753031
CAREER: A Local-Nonlocal Coupling Framework for Tissue Damage in Fluid-Structure Interaction
Air Force Office of Scientific Research
Grant: FA9550‐22‐1‐0197
FWCI
0.97
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Deep Neural Operator Enabled Concurrent Multitask Design for Multifunctional Metamaterials under Heterogeneous Fields