Kai‐Ming Ho

Heinz Optical Engineering (United States) — United States

Physics and Astronomy · Physical Sciences

76h-index23.2kcitations740works3.92yr avg
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Research Topics

Advanced Chemical Physics Studies(123), Photonic Crystals and Applications(89), Photonic and Optical Devices(71), Surface and Thin Film Phenomena(71), Material Dynamics and Properties(61)

Publications740 total

Engineering neuromorphic phase-change memory: Carbon-doped GeSbTe with high thermal stability and low resistance drift
Applied Physics Letters·2026
Multimode Jahn-Teller Effect in Negatively Charged Nitrogen-Vacancy Center in Diamond
arXiv (Cornell University)·2025Open Access
Pressure-Induced B1 to B2 Phase Transition in CeN Studied by ab initio Correlation Matrix Renormalization Theory Calculations
arXiv (Cornell University)·2025Open Access
Prediction of Li3Fe8B8 compound with rapid one-dimensional ion diffusion channels
arXiv (Cornell University)·2025Open Access
The Fe-Ni phase diagram and the Earth’s inner core structure
Science Advances·2025· 4 citedOpen Access
Understanding the two-step nucleation of iron at Earth's inner core conditions: A comparative molecular dynamics study
Physical review. B./Physical review. B·2025· 2 citedOpen Access
The effect of Ni on the formation and structure of Earth’s inner core
2025Open Access
Anticorrelation between electron-phonon coupling strength and stability of ternary metal diborides
Physical review. B./Physical review. B·2025· 4 cited
Structure and Magnetism of Metastable Fe8Co8N2 Compound
SSRN Electronic Journal·2025Open Access
Pressure-induced superconductivity in ternary yttrium borohydride systems
Physical Chemistry Chemical Physics·2025· 4 cited
Effects of Post-treatment Progress on the Morphology and Surface State of 4H-SiC Trenches
SSRN Electronic Journal·2025Open Access
Ab initio superionic-liquid phase diagram of Fe1-xOx under Earth's inner core conditions
arXiv (Cornell University)·2024Open Access
Machine learning assisted search for Fe–Co–C ternary compounds with high magnetic anisotropy
APL Machine Learning·2024· 4 citedOpen Access
Machine learning-accelerated discovery of iron cobalt phosphides as rare-earth-free magnets
Physical Review Materials·2024· 2 citedOpen Access
Computational electron–phonon superconductivity: from theoretical physics to material science
Journal of Physics Condensed Matter·2024· 4 citedOpen Access
Computational electron-phonon superconductivity: from theoretical physics to material science
arXiv (Cornell University)·2024Open Access
Melting temperature of iron under the Earth’s inner core condition from deep machine learning
Geoscience Frontiers·2024· 6 citedOpen Access
POS1085 UNDERSTANDING AGE AS A RISK FACTOR FOR COMPLICATIONS AFTER TOTAL KNEE ARTHROPLASTY: WHAT CAN WE LEARN FROM MACHINE LEARNING?
Annals of the Rheumatic Diseases·2024
High-Throughput Screening for Boride Superconductors
Inorganic Chemistry·2024· 12 citedOpen Access
Melting Temperature of Iron Under the Earth's Inner Core Condition from Deep Machine Learning
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Cai‐Zhuang Wang(16), C. T. Chan(10), Alexandre A. Shvartsburg(4), Zhong-Yi Lu(4), Martin F. Jarrold(4), R. Biswas(4), M. J. Kramer(4), James R. Morris(3), S. G. Hao(3), Michael C. Tringides(3), Xiaojie Liu(3), Yongxin Yao(3), M. Hupalo(3), C.Z. Wang(3), Songyou Wang(3), Zhuo Ye(3), Joong‐Mok Park(3), Bicai Pan(2), M. M. Sigalas(2), Manh Cuong Nguyen(2)