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of 523
pro vyhledávání: '"Kantamneni A"'
How do transformers model physics? Do transformers model systems with interpretable analytical solutions, or do they create "alien physics" that are difficult for humans to decipher? We take a step in demystifying this larger puzzle by investigating
Externí odkaz:
http://arxiv.org/abs/2405.17209
Integrable partial differential equation (PDE) systems are of great interest in natural science, but are exceedingly rare and difficult to discover. To solve this, we introduce OptPDE, a first-of-its-kind machine learning approach that Optimizes PDEs
Externí odkaz:
http://arxiv.org/abs/2405.04484
Autor:
Rodriguez-Fernandez, P., Howard, N. T., Saltzman, A., Kantamneni, S., Candy, J., Holland, C., Balandat, M., Ament, S., White, A. E.
This work presents the PORTALS framework, which leverages surrogate modeling and optimization techniques to enable the prediction of core plasma profiles and performance with nonlinear gyrokinetic simulations at significantly reduced cost, with no lo
Externí odkaz:
http://arxiv.org/abs/2312.12610
Autor:
Sofia M. Kapetanaki, Nicolas Coquelle, David von Stetten, Martin Byrdin, Ronald Rios-Santacruz, Richard Bean, Johan Bielecki, Mohamed Boudjelida, Zsuzsana Fekete, Geoffrey W. Grime, Huijong Han, Caitlin Hatton, Sravya Kantamneni, Konstantin Kharitonov, Chan Kim, Marco Kloos, Faisal H. M. Koua, Iñaki de Diego Martinez, Diogo Melo, Lukas Rane, Adam Round, Ekaterina Round, Abhisakh Sarma, Robin Schubert, Joachim Schulz, Marcin Sikorski, Mohammad Vakili, Joana Valerio, Jovana Vitas, Raphael de Wijn, Agnieszka Wrona, Ninon Zala, Arwen Pearson, Katerina Dörner, Giorgio Schirò, Elspeth F. Garman, András Lukács, Martin Weik
Publikováno v:
IUCrJ, Vol 11, Iss 6, Pp 991-1006 (2024)
OaPAC is a recently discovered blue-light-using flavin adenosine dinucleotide (BLUF) photoactivated adenylate cyclase from the cyanobacterium Oscillatoria acuminata that uses adenosine triphosphate and translates the light signal into the production
Externí odkaz:
https://doaj.org/article/f5172cd8b2a24e84967c8f4cf03b38f8
We introduce Nuclear Co-Learned Representations (NuCLR), a deep learning model that predicts various nuclear observables, including binding and decay energies, and nuclear charge radii. The model is trained using a multi-task approach with shared rep
Externí odkaz:
http://arxiv.org/abs/2306.06099
Autor:
Kantamneni, Subhash1 (AUTHOR) subhashk@mit.edu, Liu, Ziming1 (AUTHOR), Tegmark, Max1 (AUTHOR)
Publikováno v:
Entropy. Nov2024, Vol. 26 Issue 11, p997. 21p.
Publikováno v:
In Energy Policy December 2024 195
Publikováno v:
Entropy, Vol 26, Iss 11, p 997 (2024)
How do transformers model physics? Do transformers model systems with interpretable analytical solutions or do they create an “alien physics” that is difficult for humans to decipher? We have taken a step towards demystifying this larger puzzle b
Externí odkaz:
https://doaj.org/article/de124c4a41a44e98ab0f236da00b2563
Autor:
Yinwen Zhang, Hosung Jang, Ziliang Luo, Yinxin Dong, Yangyang Xu, Yamini Kantamneni, Robert J Schmitz
Publikováno v:
PLoS Genetics, Vol 20, Iss 7, p e1011358 (2024)
Heterochromatin is critical for maintaining genome stability, especially in flowering plants, where it relies on a feedback loop involving the H3K9 methyltransferase, KRYPTONITE (KYP), and the DNA methyltransferase CHROMOMETHYLASE3 (CMT3). The H3K9 d
Externí odkaz:
https://doaj.org/article/26144c321cf64908a1a35b0b380cdb12
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