ITAMP

ITAMP publications

Learning from the Harvard Clean Energy Project: The Use of Neural Networks to Accelerate Materials Discovery

Pyzer-Knapp, Edward O, Kewei Li, and Alan Aspuru-Guzik. “Learning From The Harvard Clean Energy Project: The Use Of Neural Networks To Accelerate Materials Discovery”. Advanced Functional Materials 25. Advanced Functional Materials (2015): 6495-6502. doi:10.1002/adfm.201501919.

Adiabatic quantum optimization in the presence of discrete noise: Reducing the problem dimensionality

Mandra, Salvatore, Gian Giacomo Guerreschi, and Alan Aspuru-Guzik. “Adiabatic Quantum Optimization In The Presence Of Discrete Noise: Reducing The Problem Dimensionality”. Physical Review A 92. Physical Review A (2015). doi:10.1103/PhysRevA.92.062320.

High-precision nonadiabatic calculations of dynamic polarizabilities and hyperpolarizabilities for low-lying vibrational-rotational states of hydrogen molecular ions

Tang, Li-Yan, Zong-Chao Yan, Ting-Yun Shi, and James F Babb. “High-Precision Nonadiabatic Calculations Of Dynamic Polarizabilities And Hyperpolarizabilities For Low-Lying Vibrational-Rotational States Of Hydrogen Molecular Ions”. Phys. Rev. A 90. Phys. Rev. A (2014): 012524. doi:10.1103/PhysRevA.90.012524.

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