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Amanda Howard — most-cited papers & profile · AI for Science
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Amanda Howard
3
papers ·
1
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Physics-Guided Continual Learning for Predicting Emerging Aqueous Organic Redox Flow Battery Material Performance
2023 · 1 citations
Self-adaptive weighting and sampling for physics-informed neural networks
2025
What do physics-informed DeepONets learn? Understanding and improving training for scientific computing applications
2024
Top co-authors
Panos Stinis
· 2
Brek Meuris
· 1
Chao Zeng
· 1
Emily Williams
· 1
Peiyuan Gao and Panos Stinis
· 1
Wenqian Chen
· 1
Yucheng Fu
· 1
Yunxiang Chen
· 1
Topics
Physics ML
Math & Equations
Materials