Zobrazeno 1 - 10
of 9 212
pro vyhledávání: '"John, A H"'
Autor:
Clancy, Damian, Stewart, John J. H.
In infectious disease modelling, the expected time from endemicity to extinction (of infection) may be analysed via WKB approximation, a method with origins in mathematical physics. The method is very general, but its uptake to date may have been lim
Externí odkaz:
http://arxiv.org/abs/2412.15059
The structural information of spiral galaxies such as the spiral arm number, offer valuable insights into their formation processes and physical roles in galaxy evolution. We developed classifiers based on CNNs using variants of the EfficientNet arch
Externí odkaz:
http://arxiv.org/abs/2412.11696
A shape optimization problem subject to an elliptic equation in the presence of missing data on the Dirichlet boundary condition is considered. It is formulated by optimizing the deformation field that varies the spatial domain where the Poisson equa
Externí odkaz:
http://arxiv.org/abs/2412.06479
Autor:
Yu, Yi, Ge, Junyu, Luo, Manlin, Seo, In Cheol, Kim, Youngmin, Eng, John J. H., Lu, Kunze, Wei, Tian-Ran, Gao, Weibo, Li, Hong, Nam, Donguk
Two-dimensional (2D) materials have emerged as promising candidates for next-generation integrated single-photon emitters (SPEs). However, significant variability in the emission energies of 2D SPEs presents a major challenge in producing identical s
Externí odkaz:
http://arxiv.org/abs/2410.17654
Autor:
John, Luis H., Kim, Chungsoo, Kors, Jan A., Chang, Junhyuk, Morgan-Cooper, Hannah, Desai, Priya, Pang, Chao, Rijnbeek, Peter R., Reps, Jenna M., Fridgeirsson, Egill A.
Background: Conventional prediction methods such as logistic regression and gradient boosting have been widely utilized for disease onset prediction for their reliability and interpretability. Deep learning methods promise enhanced prediction perform
Externí odkaz:
http://arxiv.org/abs/2410.10505
Autor:
Xu, Yuzhi, Ni, Haowei, Gao, Qinhui, Chang, Chia-Hua, Huo, Yanran, Zhao, Fanyu, Hu, Shiyu, Xia, Wei, Zhang, Yike, Grovu, Radu, He, Min, Zhang, John. Z. H., Wang, Yuanqing
Computational molecular design -- the endeavor to design molecules, with various missions, aided by machine learning and molecular dynamics approaches, has been widely applied to create valuable new molecular entities, from small molecule therapeutic
Externí odkaz:
http://arxiv.org/abs/2410.18101
Autor:
Pathi, Imdad Mahmud, Soo, John Y. H., Wee, Mao Jie, Zakaria, Sazatul Nadhilah, Ismail, Nur Azwin, Baugh, Carlton M., Manzoni, Giorgio, Gaztanaga, Enrique, Castander, Francisco J., Eriksen, Martin, Carretero, Jorge, Fernandez, Enrique, Garcia-Bellido, Juan, Miquel, Ramon, Padilla, Cristobal, Renard, Pablo, Sanchez, Eusebio, Sevilla-Noarbe, Ignacio, Tallada-Crespí, Pau
ANNZ is a fast and simple algorithm which utilises artificial neural networks (ANNs), it was known as one of the pioneers of machine learning approaches to photometric redshift estimation decades ago. We enhanced the algorithm by introducing new acti
Externí odkaz:
http://arxiv.org/abs/2409.09981
Autor:
Wang, Yuanqing, Takaba, Kenichiro, Chen, Michael S., Wieder, Marcus, Xu, Yuzhi, Zhu, Tong, Zhang, John Z. H., Nagle, Arnav, Yu, Kuang, Wang, Xinyan, Cole, Daniel J., Rackers, Joshua A., Cho, Kyunghyun, Greener, Joe G., Eastman, Peter, Martiniani, Stefano, Tuckerman, Mark E.
A force field as accurate as quantum mechanics (QM) and as fast as molecular mechanics (MM), with which one can simulate a biomolecular system efficiently enough and meaningfully enough to get quantitative insights, is among the most ardent dreams of
Externí odkaz:
http://arxiv.org/abs/2409.01931
Autor:
Eng, John J. H., Jiang, Zhengzhi, Meunier, Max, Rasmita, Abdullah, Zhang, Haoran, Yang, Yuzhe, Zhou, Feifei, Cai, Hongbing, Dong, Zhaogang, Pérez, Jesús Zúñiga, Gao, Weibo
Solid-state defects susceptible of spin manipulation hold great promise for scalable quantum technology. To broaden their utility, operating at room temperature and emitting in the telecom wavelength range are desired, eliminating cryogenic requireme
Externí odkaz:
http://arxiv.org/abs/2408.14110
It is essential to precisely determine the evolving concentrations of radioactive nuclides within transmutation problems. It is also a crucial aspect of nuclear physics with widespread applications in nuclear waste management and energy production. T
Externí odkaz:
http://arxiv.org/abs/2408.08378