Jordan M. Malof

Duke University — United States

Engineering · Physical Sciences

24h-index3.1kcitations166works9.22yr avg
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Research Topics

Remote-Sensing Image Classification(33), Geophysical Methods and Applications(33), Advanced Neural Network Applications(32), Solar Radiation and Photovoltaics(20), Metamaterials and Metasurfaces Applications(19)

Publications166 total

Estimating Global, High-resolution Onsite Building Emissions
2026Open Access
Data and code from: Machine learning inversion of interatomic force constants from single-crystal inelastic neutron scattering
Research Data Repository, Duke University·2026Open Access
An Agentic Framework for Autonomous Metamaterial Modeling and Inverse Design
ACS Photonics·2025· 4 cited
Are deep learning models robust to partial object occlusion in visual recognition tasks?
Pattern Recognition·2025· 3 cited
Deep generalized Green’s function
Journal of Computational Physics·2025· 1 cited
Deep Inverse Design of Metamaterials and Metasurfaces
2025
Large Language Models for Forward and Inverse Design of Metamaterials
2025
An Agentic Framework for Autonomous Metamaterial Modeling and Inverse Design
arXiv (Cornell University)·2025Open Access
Key considerations for robust near-field response prediction and optical metasurface inverse design
2025
SIMPL multiaspect MADD: rapidly generating low-cost multiaspect military data for all-domains at scale
2025
Deep inverse modeling the near field response of optical metasurfaces
2025
Solving Inverse Problems with Deep Learning
2025
Physics-informed learning in artificial electromagnetic materials
Applied Physics Reviews·2025· 10 cited
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer
2025
Improved Wildfire Spread Prediction with Time-Series Data and the WSTS+ Benchmark
arXiv (Cornell University)·2025Open Access
Is Self-Supervised Pre-training on Satellite Imagery Better than ImageNet? A Systematic Study with Sentinel-2
ArXiv.org·2025· 1 citedOpen Access
Learning Electromagnetic Metamaterial Physics With ChatGPT
IEEE Access·2025· 7 citedOpen Access
Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks?
arXiv (Cornell University)·2024Open Access
Deep Learning for Novel Infrared, Millimeter wave, and Terahertz Metamaterials
2024
Enhanced Remote Sensing Model Performance Through Self-Supervised Learning with Multi-Spectral Data
2024
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Frequent Co-authors

Leslie M. Collins(26), Kyle Bradbury(24), Willie J. Padilla(12), Simiao Ren(12), Bohao Huang(10), Daniël Reichman(9), Richard G. Newell(5), Joseph A. Camilo(5), Omar Khatib(3), Maciej A. Mazurowski(3), Artem Streltsov(3), Rui Wang(3), Yang Deng(2), Kebin Fan(2), Saad Lahrichi(2), Kaleb Kassaw(2), John Bralich(2), Sam Keene(2), Georgia D. Tourassi(2), Boning Li(2)