Zobrazeno 1 - 10
of 121 967
pro vyhledávání: '"A, Vinod"'
Autor:
Fang, Jie, Chen, Rui, Sharp, David, Renzi, Enrico M., Manna, Arnab, Kala, Abhinav, Mann, Sander A., Yao, Kan, Munley, Christopher, Rarick, Hannah, Tang, Andrew, Pumulo, Sinabu, Zheng, Yuebing, Menon, Vinod M., Alu, Andrea, Majumdar, Arka
High-quality (Q)-factor optical resonators with extreme temporal coherence are of both technological and fundamental importance in optical metrology, continuous-wave lasing, and semiconductor quantum optics. Despite extensive efforts in designing hig
Externí odkaz:
http://arxiv.org/abs/2409.02874
Autor:
Rashidi, Kamyar, Michail, Evripidis, Salcido-Santacruz, Bernardo, Paudel, Yamuna, Menon, Vinod M., Sfeir, Matthew Y.
Achieving precise control of photoinduced molecular charge transfer reactions underpins key emerging technologies. As such, the use of hybrid light-matter molecular exciton-polariton states has been proposed as a scheme to directly modify the efficie
Externí odkaz:
http://arxiv.org/abs/2409.02067
Autor:
Chen, Yuhao, He, Jiangpeng, Czarnecki, Chris, Vinod, Gautham, Mahmud, Talha Ibn, Raghavan, Siddeshwar, Ma, Jinge, Mao, Dayou, Nair, Saeejith, Xi, Pengcheng, Wong, Alexander, Delp, Edward, Zhu, Fengqing
Food computing is both important and challenging in computer vision (CV). It significantly contributes to the development of CV algorithms due to its frequent presence in datasets across various applications, ranging from classification and instance
Externí odkaz:
http://arxiv.org/abs/2409.01966
Autor:
Brooks, Hunter, Caselden, Dan, Kirkpatrick, J. Davy, Raghu, Yadukrishna, Elachi, Charles, Grigorian, Jake, Trek, Asa, Washburn, Andrew, Higashimura, Hiro, Meisner, Aaron, Schneider, Adam, Faherty, Jacqueline, Marocco, Federico, Gelino, Christopher, Gagné, Jonathan, Bickle, Thomas, Tang, Shih-yun, Rothermich, Austin, Burgasser, Adam, Kuchner, Marc J., Beaulieu, Paul, Bell, John, Colin, Guillaume, Colombo, Giovanni, Dereveanco, Alexandru, Flores, Deiby, Glebov, Konstantin, Gramaize, Leopold, Hamlet, Les, Hinckley, Ken, Kabatnik, Martin, Kiwy, Frank, Martin, David, Palma, Raul, Pendrill, William, Ruiz, Lizzeth, Sanchez, John, Sainio, Arttu, SchÜmann, JÖrg, Schonau, Manfred, Tanner, Christopher, Andersen, Nikolaj Stevnbak, Stenner, Andrés, Thévenot, Melina, Thakur, Vinod, Voloshin, Nikita, Wedracki, And Zbigniew
We present the discovery of 118 new ultracool dwarf candidates, discovered using a new machine learning tool, named \texttt{SMDET}, applied to time series images from the Wide-field Infrared Survey Explorer. We gathered photometric and astrometric da
Externí odkaz:
http://arxiv.org/abs/2408.14447
Imaging coupled vibrational, rotational, and electronic wave packet dynamics in a triatomic molecule
Autor:
Lam, Huynh Van Sa, Hoang, Van-Hung, Venkatachalam, Anbu Selvam, Bhattacharyya, Surjendu, Chen, Keyu, Jacob, Sina, Kudagama, Sanduni, Nguyen, Tu Thanh, Rolles, Daniel, Thumm, Uwe, Rudenko, Artem, Kumarappan, Vinod
Molecular dynamics triggered by interaction with light often involve the excitation of several electronic, vibrational, and rotational states. Characterizing the resulting coupled electronic and nuclear wave packet motion represents a severe challeng
Externí odkaz:
http://arxiv.org/abs/2408.07958
Differentiating Three-Dimensional Molecular Structures using Laser-induced Coulomb Explosion Imaging
Autor:
Lam, Huynh Van Sa, Venkatachalam, Anbu Selvam, Bhattacharyya, Surjendu, Chen, Keyu, Borne, Kurtis, Wang, Enliang, Boll, Rebecca, Jahnke, Till, Kumarappan, Vinod, Rudenko, Artem, Rolles, Daniel
Publikováno v:
Phys. Rev. Lett. 132, 123201 (2024)
Coulomb explosion imaging (CEI) with x-ray free electron lasers has recently been shown to be a powerful method for obtaining detailed structural information of gas-phase planar ring molecules [R. Boll et al. Nat. Phys. 18, 423-428 (2022)]. In this L
Externí odkaz:
http://arxiv.org/abs/2408.08389
Autor:
Sihmar, Isha, Pandey, Abhishek, Solet, Vinod Kumar, Chaudhary, Neeru, Goyal, Navdeep, Pandey, Sudhir K.
Lead chalcogenides are the promising thermoelectric (TE) materials having narrow band gap. The present work investigates the TE behaviour of PbSe in the temperature range 300-500 K. The transport properties of the sample have been studied using the A
Externí odkaz:
http://arxiv.org/abs/2408.03786
In machine learning applications, gradual data ingress is common, especially in audio processing where incremental learning is vital for real-time analytics. Few-shot class-incremental learning addresses challenges arising from limited incoming data.
Externí odkaz:
http://arxiv.org/abs/2407.19265
Autor:
Vinod, Vivin, Zaspel, Peter
Multifidelity machine learning (MFML) for quantum chemical (QC) properties has seen strong development in the recent years. The method has been shown to reduce the cost of generating training data for high-accuracy low-cost ML models. In such a set-u
Externí odkaz:
http://arxiv.org/abs/2407.17087
In this paper, we introduce MoRSE (Mixture of RAGs Security Experts), the first specialised AI chatbot for cybersecurity. MoRSE aims to provide comprehensive and complete knowledge about cybersecurity. MoRSE uses two RAG (Retrieval Augmented Generati
Externí odkaz:
http://arxiv.org/abs/2407.15748