Zobrazeno 1 - 10
of 37 611
pro vyhledávání: '"P P, Rosen"'
Autor:
Yahav, Dror, Maniv, Ariel, Potashnikov, Daniel, Pesach, Asaf, Caspi, El'ad N., Reyes, Arneil P., Tao, Quanzheng, Rosen, Johanna, Maniv, Eran
We uncover a high-field magnetic phase in i-MAX compounds exhibiting a canted antiferromagnetic (AFM) order with unprecedented properties, revealed through NMR and AC susceptibility. Intriguingly, as the atomic number of Rare Earth increases, the tra
Externí odkaz:
http://arxiv.org/abs/2412.02418
Autor:
Elena, Alin Marin, Kamath, Prathami Divakar, Inizan, Théo Jaffrelot, Rosen, Andrew S., Zanca, Federica, Persson, Kristin A.
Metal-organic frameworks (MOFs) are highly porous and versatile materials studied extensively for applications such as carbon capture and water harvesting. However, computing phonon-mediated properties in MOFs, like thermal expansion and mechanical s
Externí odkaz:
http://arxiv.org/abs/2412.02877
Autor:
Diggs, Colin, Doyle, Michael, Madan, Amit, Scott, Siggy, Escamilla, Emily, Zimmer, Jacob, Nekoo, Naveed, Ursino, Paul, Bartholf, Michael, Robin, Zachary, Patel, Anand, Glasz, Chris, Macke, William, Kirk, Paul, Phillips, Jasper, Sridharan, Arun, Wendt, Doug, Rosen, Scott, Naik, Nitin, Brunelle, Justin F., Thaker, Samruddhi
Legacy software systems, written in outdated languages like MUMPS and mainframe assembly, pose challenges in efficiency, maintenance, staffing, and security. While LLMs offer promise for modernizing these systems, their ability to understand legacy l
Externí odkaz:
http://arxiv.org/abs/2411.14971
Autor:
Shimron, Efrat, Shan, Shanshan, Grover, James, Koonjoo, Neha, Shen, Sheng, Boele, Thomas, Sorby-Adams, Annabel J., Kirsch, John E., Rosen, Matthew S., Waddington, David E. J.
Portable, low-field Magnetic Resonance Imaging (MRI) scanners are increasingly being deployed in clinical settings. However, critical barriers to their widespread use include low signal-to-noise ratio (SNR), generally low image quality, and long scan
Externí odkaz:
http://arxiv.org/abs/2411.06704
This paper presents a comparative analysis of hallucination detection systems for AI, focusing on automatic summarization and question answering tasks for Large Language Models (LLMs). We evaluate different hallucination detection systems using the d
Externí odkaz:
http://arxiv.org/abs/2411.05270
Autor:
Vangaru, Sriniketh, Rosen, Daniel, Green, Dylan, Rodriguez, Raphael, Wiecek, Maxwell, Johnson, Amos, Jones, Alyse M., Headley, William C.
Technological trends show that Radio Frequency Reinforcement Learning (RFRL) will play a prominent role in the wireless communication systems of the future. Applications of RFRL range from military communications jamming to enhancing WiFi networks. B
Externí odkaz:
http://arxiv.org/abs/2410.21521
Autor:
Shoshan, Yoel, Raboh, Moshiko, Ozery-Flato, Michal, Ratner, Vadim, Golts, Alex, Weber, Jeffrey K., Barkan, Ella, Rabinovici-Cohen, Simona, Polaczek, Sagi, Amos, Ido, Shapira, Ben, Hazan, Liam, Ninio, Matan, Ravid, Sivan, Danziger, Michael M., Morrone, Joseph A., Suryanarayanan, Parthasarathy, Rosen-Zvi, Michal, Hexter, Efrat
Drug discovery typically consists of multiple steps, including identifying a target protein key to a disease's etiology, validating that interacting with this target could prevent symptoms or cure the disease, discovering a small molecule or biologic
Externí odkaz:
http://arxiv.org/abs/2410.22367
Autor:
Marino, Emanuele, LaCour, R. Allen, Moore, Timothy C., van Dongen, Sjoerd W., Keller, Austin W., An, Di, Yang, Shengsong, Rosen, Daniel J., Gouget, Guillaume, Tsai, Esther H. R., Kagan, Cherie R., Kodger, Thomas E., Glotzer, Sharon C., Murray, Christopher B.
Publikováno v:
Nature Synthesis 3, 111-122, 2024
The synthesis of binary nanocrystal superlattices (BNSLs) enables the targeted integration of orthogonal physical properties, like photoluminescence and magnetism, into a single superstructure, unlocking a vast design space for multifunctional materi
Externí odkaz:
http://arxiv.org/abs/2410.17016
Autor:
Pavlovic, Liam, Rosen, David M.
Stein variational inference (SVI) is a sample-based approximate Bayesian inference technique that generates a sample set by jointly optimizing the samples' locations to minimize an information-theoretic measure of discrepancy with the target probabil
Externí odkaz:
http://arxiv.org/abs/2410.16195
How embedded, actively accreting low-mass protostars accrete their mass is still greatly debated. Observations are now piecing together the puzzle of embedded protostellar accretion, in particular with new facilities in the near-infrared. However, hi
Externí odkaz:
http://arxiv.org/abs/2410.14777