Zobrazeno 1 - 10
of 35 218
pro vyhledávání: '"Dane, A."'
Autor:
Sloane, Nicholas P., Bailey, Christopher G., Cole, Jared H., Schmidt, Timothy W., McCamey, Dane R., Klymenko, Mykhailo V.
Perovskite films have rapidly emerged as leading active materials in optoelectronic devices due to their strong optical absorption, high carrier mobility and ease of fabrication. Whilst proving to be promising materials for solar cells and light-emit
Externí odkaz:
http://arxiv.org/abs/2410.08495
Autor:
Chan, Jun Shern, Chowdhury, Neil, Jaffe, Oliver, Aung, James, Sherburn, Dane, Mays, Evan, Starace, Giulio, Liu, Kevin, Maksin, Leon, Patwardhan, Tejal, Weng, Lilian, Mądry, Aleksander
We introduce MLE-bench, a benchmark for measuring how well AI agents perform at machine learning engineering. To this end, we curate 75 ML engineering-related competitions from Kaggle, creating a diverse set of challenging tasks that test real-world
Externí odkaz:
http://arxiv.org/abs/2410.07095
Autor:
Cross, Dane N., Sánchez, Carles
Current and upcoming imaging galaxy surveys are pushing galaxy samples to higher and higher redshifts. This push will be more pronounced for lens galaxies, for which we only need to measure galaxy positions, not shapes. As a result, we will increasin
Externí odkaz:
http://arxiv.org/abs/2410.00714
Publikováno v:
Comput. Mater. Sci. 246, 113409 (2025)
In this work, we developed a compositionally transferable machine learning interatomic potential using atomic cluster expansion potential and PBE-D3 method for (NaCl)1-x(MgCl2)x molten salt and we showed that it is possible to fit a robust potential
Externí odkaz:
http://arxiv.org/abs/2409.17869
Autor:
Liu, Quanliang, Polak, Maciej P., Kim, So Yeon, Shuvo, MD Al Amin, Deodhar, Hrishikesh Shridhar, Han, Jeongsoo, Morgan, Dane, Oh, Hyunseok
Materials design often relies on human-generated hypotheses, a process inherently limited by cognitive constraints such as knowledge gaps and limited ability to integrate and extract knowledge implications, particularly when multidisciplinary experti
Externí odkaz:
http://arxiv.org/abs/2409.06756
Autor:
Jacobs, Ryan, Polak, Maciej P., Schultz, Lane E., Mahdavi, Hamed, Honavar, Vasant, Morgan, Dane
We demonstrate the ability of large language models (LLMs) to perform material and molecular property regression tasks, a significant deviation from the conventional LLM use case. We benchmark the Large Language Model Meta AI (LLaMA) 3 on several mol
Externí odkaz:
http://arxiv.org/abs/2409.06080
Autor:
Doshi, Jaiv, Novacic, Ines, Fletcher, Curtis, Borges, Mats, Zhong, Elea, Marino, Mark C., Gan, Jason, Mager, Sophia, Sprague, Dane, Xia, Melinda
This paper presents a study on the growing threat of "sleeper social bots," AI-driven social bots in the political landscape, created to spread disinformation and manipulate public opinion. We based the name sleeper social bots on their ability to pa
Externí odkaz:
http://arxiv.org/abs/2408.12603
Autor:
Lynch, Matthew J., Jacobs, Ryan, Bruno, Gabriella, Patki, Priyam, Morgan, Dane, Field, Kevin G.
The integration of machine learning (ML) models enhances the efficiency, affordability, and reliability of feature detection in microscopy, yet their development and applicability are hindered by the dependency on scarce and often flawed manually lab
Externí odkaz:
http://arxiv.org/abs/2408.01558
Several evolved stars have been found to exhibit long-period radial velocity variations that cannot be explained by planetary or brown dwarf companions. Non-radial oscillations caused by oscillatory convective modes have been put forth as an alternat
Externí odkaz:
http://arxiv.org/abs/2407.21583
Autor:
Vlachas, Konstantinos, Simpson, Thomas, Garland, Anthony, Quinn, D. Dane, Farhat, Charbel, Chatzi, Eleni
Reduced Order Models (ROMs) form essential tools across engineering domains by virtue of their function as surrogates for computationally intensive digital twinning simulators. Although purely data-driven methods are available for ROM construction, s
Externí odkaz:
http://arxiv.org/abs/2407.17139