Zobrazeno 1 - 10
of 1 110
pro vyhledávání: '"A., Baydin"'
Autor:
Walsh, James, Gass, Daniel G., Pollan, Raul Ramos, Wright, Paul J., Galvez, Richard, Kasmanoff, Noah, Naradowsky, Jason, Spalding, Anne, Parr, James, Baydin, Atılım Güneş
SDO-FM is a foundation model using data from NASA's Solar Dynamics Observatory (SDO) spacecraft; integrating three separate instruments to encapsulate the Sun's complex physical interactions into a multi-modal embedding space. This model can be used
Externí odkaz:
http://arxiv.org/abs/2410.02530
Autor:
Kritzell, T. Elijah, Doumani, Jacques, Asano, Tobias, Yamada, Sota, Tay, Fuyang, Xu, Hongjing, Yan, Han, Katayama, Ikufumi, Takeda, Jun, Nevidomskyy, Andriy, Nojiri, Hiroyuki, Bamba, Motoaki, Baydin, Andrey, Kono, Junichiro
The interaction of an ensemble of two-level atoms and a quantized electromagnetic field, described by the Dicke Hamiltonian, is an extensively studied problem in quantum optics. However, experimental efforts to explore similar physics in condensed ma
Externí odkaz:
http://arxiv.org/abs/2409.17339
Autor:
Kim, Dasom, Hou, Jin, Lee, Geon, Agrawal, Ayush, Kim, Sunghwan, Zhang, Hao, Bao, Di, Baydin, Andrey, Wu, Wenjing, Tay, Fuyang, Huang, Shengxi, Chia, Elbert E. M., Kim, Dai-Sik, Seo, Minah, Mohite, Aditya D., Hagenmüller, David, Kono, Junichiro
Phonons, or vibrational quanta, are behind some of the most fundamental physical phenomena in solids, including superconductivity, Raman processes, and broken-symmetry phases. It is therefore of fundamental importance to find ways to harness phonons
Externí odkaz:
http://arxiv.org/abs/2409.04505
This paper introduces a second-order hyperplane search, a novel optimization step that generalizes a second-order line search from a line to a $k$-dimensional hyperplane. This, combined with the forward-mode stochastic gradient method, yields a secon
Externí odkaz:
http://arxiv.org/abs/2408.10419
Autor:
Xu, Rui, Doumani, Jacques, Labuntsov, Viktor, Hong, Nina, Samaha, Anna-Christina, Tu, Weiran, Tay, Fuyang, Blackert, Elizabeth, Luo, Jiaming, Tahchi, Mario El, Gao, Weilu, Lou, Jun, Yomogida, Yohei, Yanagi, Kazuhiro, Saito, Riichiro, Perebeinos, Vasili, Baydin, Andrey, Kono, Junichiro, Zhu, Hanyu
Chiral carbon nanotubes (CNTs) are direct-gap semiconductors with optical properties governed by one-dimensional excitons with enormous oscillator strengths. Each species of chiral CNTs has an enantiomeric pair of left- and right-handed CNTs with nea
Externí odkaz:
http://arxiv.org/abs/2407.04514
Autor:
Samaha, Anna-Christina, Doumani, Jacques, Kritzell, T. Elijah, Xu, Hongjing, Baydin, Andrey, Ajayan, Pulickel M., Tahchi, Mario El, Kono, Junichiro
Graphene-based terahertz (THz) devices have emerged as promising platforms for a variety of applications, leveraging graphene's unique optoelectronic properties. This review explores recent advancements in utilizing graphene in THz technology, focusi
Externí odkaz:
http://arxiv.org/abs/2402.11357
The Simplified General Perturbations 4 (SGP4) orbital propagation method is widely used for predicting the positions and velocities of Earth-orbiting objects rapidly and reliably. Despite continuous refinement, SGP models still lack the precision of
Externí odkaz:
http://arxiv.org/abs/2402.04830
Autor:
Doumani, Jacques, Zahn, Keshav, Yu, Shengjie, Barrios, Gustavo Rodriguez, Sasmal, Somesh, Kikuchi, Rikuta, Kritzell, T. Elijah, Xu, Hongjing, Baydin, Andrey, Kono, Junichiro
Because of their natural one-dimensional (1D) structure combined with intricate chiral variations, carbon nanotubes (CNTs) exhibit various exceptional physical properties, such as ultrahigh electrical and thermal conductivity, exceptional mechanical
Externí odkaz:
http://arxiv.org/abs/2312.00984
Autor:
Malik, Shreshth A., Walsh, James, Acciarini, Giacomo, Berger, Thomas E., Baydin, Atılım Güneş
Accurate estimation of thermospheric density is critical for precise modeling of satellite drag forces in low Earth orbit (LEO). Improving this estimation is crucial to tasks such as state estimation, collision avoidance, and re-entry calculations. T
Externí odkaz:
http://arxiv.org/abs/2312.06845
Autor:
Bengio, Yoshua, Hinton, Geoffrey, Yao, Andrew, Song, Dawn, Abbeel, Pieter, Darrell, Trevor, Harari, Yuval Noah, Zhang, Ya-Qin, Xue, Lan, Shalev-Shwartz, Shai, Hadfield, Gillian, Clune, Jeff, Maharaj, Tegan, Hutter, Frank, Baydin, Atılım Güneş, McIlraith, Sheila, Gao, Qiqi, Acharya, Ashwin, Krueger, David, Dragan, Anca, Torr, Philip, Russell, Stuart, Kahneman, Daniel, Brauner, Jan, Mindermann, Sören
Artificial Intelligence (AI) is progressing rapidly, and companies are shifting their focus to developing generalist AI systems that can autonomously act and pursue goals. Increases in capabilities and autonomy may soon massively amplify AI's impact,
Externí odkaz:
http://arxiv.org/abs/2310.17688