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pro vyhledávání: '"Stanley, Megan"'
Autor:
Bodnar, Cristian, Bruinsma, Wessel P., Lucic, Ana, Stanley, Megan, Vaughan, Anna, Brandstetter, Johannes, Garvan, Patrick, Riechert, Maik, Weyn, Jonathan A., Dong, Haiyu, Gupta, Jayesh K., Thambiratnam, Kit, Archibald, Alexander T., Wu, Chun-Chieh, Heider, Elizabeth, Welling, Max, Turner, Richard E., Perdikaris, Paris
Reliable forecasts of the Earth system are crucial for human progress and safety from natural disasters. Artificial intelligence offers substantial potential to improve prediction accuracy and computational efficiency in this field, however this rema
Externí odkaz:
http://arxiv.org/abs/2405.13063
Autor:
Maziarz, Krzysztof, Tripp, Austin, Liu, Guoqing, Stanley, Megan, Xie, Shufang, Gaiński, Piotr, Seidl, Philipp, Segler, Marwin
Automated Synthesis Planning has recently re-emerged as a research area at the intersection of chemistry and machine learning. Despite the appearance of steady progress, we argue that imperfect benchmarks and inconsistent comparisons mask systematic
Externí odkaz:
http://arxiv.org/abs/2310.19796
Autor:
Stanley, Megan R.
Background: The spectrum of menstrual dysfunction includes a wide domain from normal cycles to interrupted cycles of 3 months or more classified as amenorrhea. The disruption of hormones in amenorrhea can cause a cascade of issues such as low bone de
Autor:
Frye, Christopher, de Mijolla, Damien, Begley, Tom, Cowton, Laurence, Stanley, Megan, Feige, Ilya
Explainability in AI is crucial for model development, compliance with regulation, and providing operational nuance to predictions. The Shapley framework for explainability attributes a model's predictions to its input features in a mathematically pr
Externí odkaz:
http://arxiv.org/abs/2006.01272
Autor:
Stanley, Megan, Segler, Marwin
Publikováno v:
In Current Opinion in Structural Biology October 2023 82
Autor:
Hsiao, Tzu-Kan, Rubino, Antonio, Chung, Yousun, Son, Seok-Kyun, Hou, Hangtian, Pedrós, Jorge, Nasir, Ateeq, Éthier-Majcher, Gabriel, Stanley, Megan J., Phillips, Richard T., Mitchell, Thomas A., Griffiths, Jonathan P., Farrer, Ian, Ritchie, David A., Ford, Christopher J. B.
Publikováno v:
Nature Communications 11, 917 (2020)
Single-photon sources are essential building blocks in quantum photonic networks, where quantum-mechanical properties of photons are utilised to achieve quantum technologies such as quantum cryptography and quantum computing. Most conventional solid-
Externí odkaz:
http://arxiv.org/abs/1901.03464
Autor:
Sohn, Young-Ik, Meesala, Srujan, Pingault, Benjamin, Atikian, Haig A., Holzgrafe, Jeffrey, Gundogan, Mustafa, Stavrakas, Camille, Stanley, Megan J., Sipahigil, Alp, Choi, Joonhee, Zhang, Mian, Pacheco, Jose L., Abraham, John, Bielejec, Edward, Lukin, Mikhail D., Atature, Mete, Loncar, Marko
The uncontrolled interaction of a quantum system with its environment is detrimental for quantum coherence. In the context of solid-state qubits, techniques to mitigate the impact of fluctuating electric and magnetic fields from the environment are w
Externí odkaz:
http://arxiv.org/abs/1706.03881
Akademický článek
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Frequency stabilization of the zero-phonon line of a quantum dot via phonon-assisted active feedback
We report on the feedback stabilization of the zero-phonon emission frequency of a single InAs quantum dot. The spectral separation of the phonon-assisted component of the resonance fluorescence provides a probe of the detuning between the zero-phono
Externí odkaz:
http://arxiv.org/abs/1410.4728
Autor:
Stanley, Megan J., Matthiesen, Clemens, Hansom, Jack, Gall, Claire Le, Schulte, Carsten H. H., Clarke, Edmund, Atatüre, Mete
Publikováno v:
Phys. Rev. B 90, 195305 (2014)
The ability to discriminate between simultaneously occurring noise sources in the local environment of semiconductor InGaAs quantum dots, such as electric and magnetic field fluctuations, is key to understanding their respective dynamics and their ef
Externí odkaz:
http://arxiv.org/abs/1408.6437