Design high-entropy electrocatalyst via interpretable deep graph attention learning

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Material Science

100
Electrocatalysts Material Science
14
Heterogeneous Catal... Material Science
14
Phase Composition Material Science

Computer Science

100
Design Computer Science
100
Entropy Computer Science
28
Model Computer Science
28
Local Environment Computer Science
14
High Throughput Computer Science
14
Attention (Machine ... Computer Science
14
Attention Score Computer Science

Keyphrases

100
Electrocatalyst Keyphrases
100
High Entropy Keyphrases
100
Attention Learning Keyphrases
100
Graph Attention Net... Keyphrases
42
High Performance Keyphrases
42
Atomic Graph Keyphrases
28
Local Environment Keyphrases
28
Scaling Relations Keyphrases
14
Phase Space Keyphrases
14
Ni-Co Keyphrases
14
Physical Principles Keyphrases
14
PdPt Keyphrases
14
High-throughput Scr... Keyphrases
14
Rational Design Keyphrases
14
Heterogeneous Catal... Keyphrases
14
FePd Keyphrases
14
CoFe Keyphrases
14
Attention Score Keyphrases
14
Composition Space Keyphrases
14
D-band Theory Keyphrases
14
Performance Composi... Keyphrases

Chemistry

100
Entropy Chemistry
100
Electrocatalyst Chemistry
28
Environment Chemistry
14
Phase Composition Chemistry
14
High Throughput Scr... Chemistry
14
Heterogeneous Catal... Chemistry
14
Phase Space Chemistry

INIS

100
learning INIS
100
design INIS
100
graphs INIS
100
entropy INIS
100
electrocatalysts INIS
42
performance INIS
28
environment INIS
28
scaling INIS
14
surfaces INIS
14
space INIS
14
reliability INIS
14
phase space INIS
14
exploration INIS
14
screening INIS
14
bypasses INIS
14
heterogeneous catal... INIS
14
band theory INIS
Research OutputsResearch Output authored by Design high-entropy electrocatalyst via interpretable deep graph attention learning is tagged with the concept