Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Yamil J Colón"'
Publikováno v:
Materials for Quantum Technology, Vol 4, Iss 1, p 015404 (2024)
The transmission of strong laser light in nonlinear optical materials can generate output photons sources that carry quantum entanglement in multiple degrees of freedom, making this process a fundamentally important tool in optical quantum technology
Externí odkaz:
https://doaj.org/article/74d85ff64f454a6789bdbf670a168647
Publikováno v:
New Journal of Physics, Vol 25, Iss 9, p 093031 (2023)
Understanding the physical processes that determine the relaxation T _1 and dephasing T _2 times of molecular spin qubits is critical for envisioned applications in quantum metrology and information processing. Recent spin-echo measurements of solid-
Externí odkaz:
https://doaj.org/article/953de6604071459480489fadaffd0cc4
Publikováno v:
The Journal of Physical Chemistry B. 127:4623-4632
Publikováno v:
The Journal of Physical Chemistry A. 127:2407-2414
Identifying chemical compounds is essential in several areas of science and engineering. Laser-based techniques are promising for autonomous compound detection because the optical response of materials encodes enough electronic and vibrational inform
Publikováno v:
AI‐Guided Design and Property Prediction for Zeolites and Nanoporous Materials. :343-376
Publikováno v:
AIChE Journal.
Publikováno v:
Journal of Chemical Theory and Computation.
Publikováno v:
Chemical Communications. 58:5630-5633
This work showcases the remarkable ability of sigma profiles to function as molecular descriptors in deep learning. The sigma profiles of 1432 compounds are used to train convolutional neural networks that accurately correlate and predict a wide rang
Spontaneous parametric down conversion (SPDC) is a quantum second-order non- linear optical process where the photons generated are frequently used in quantum information processing. Materials with large second-order nonlinearities (χ(2)) can be use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e536ad11ae50ed749848ea733adec96
https://doi.org/10.26434/chemrxiv-2023-ljqrp
https://doi.org/10.26434/chemrxiv-2023-ljqrp
Autor:
Gregory M. Cooper, Yamil J. Colón
Publikováno v:
Molecular Systems Design & Engineering.
Transfer learning performance across the textural space of metal–organic frameworks depends on the distance in principal component space.