Zobrazeno 1 - 10
of 3 844
pro vyhledávání: '"Baskar, P."'
Autor:
Gamdha, Dhruv, Fair, Ryan, Krishnamurthy, Adarsh, Gomez, Enrique, Ganapathysubramanian, Baskar
Automated analysis of high-resolution transmission electron microscopy (HRTEM) images is increasingly essential for advancing research in organic electronics, where precise characterization of nanoscale crystal structures is crucial for optimizing ma
Externí odkaz:
http://arxiv.org/abs/2411.03474
We extend the shifted boundary method (SBM) to the simulation of incompressible fluid flow using immersed octree meshes. Previous work on SBM for fluid flow primarily utilized two- or three-dimensional unstructured tetrahedral grids. Recently, octree
Externí odkaz:
http://arxiv.org/abs/2411.00272
Autor:
Powadi, Anirudha, Jubery, Talukder Zaki, Tross, Michael C., Schnable, James C., Ganapathysubramanian, Baskar
This study introduces a compositional autoencoder (CAE) framework designed to disentangle the complex interplay between genotypic and environmental factors in high-dimensional phenotype data to improve trait prediction in plant breeding and genetics
Externí odkaz:
http://arxiv.org/abs/2410.19922
Autor:
Tali, Ronak, Rabeh, Ali, Yang, Cheng-Hau, Shadkhah, Mehdi, Karki, Samundra, Upadhyaya, Abhisek, Dhakshinamoorthy, Suriya, Saadati, Marjan, Sarkar, Soumik, Krishnamurthy, Adarsh, Hegde, Chinmay, Balu, Aditya, Ganapathysubramanian, Baskar
Simulating fluid flow around arbitrary shapes is key to solving various engineering problems. However, simulating flow physics across complex geometries remains numerically challenging and computationally resource-intensive, particularly when using c
Externí odkaz:
http://arxiv.org/abs/2409.18032
Autor:
Khosravi, Mahsa, Carroll, Matthew, Tan, Kai Liang, Van der Laan, Liza, Raigne, Joscif, Mueller, Daren S., Singh, Arti, Balu, Aditya, Ganapathysubramanian, Baskar, Singh, Asheesh Kumar, Sarkar, Soumik
Agricultural production requires careful management of inputs such as fungicides, insecticides, and herbicides to ensure a successful crop that is high-yielding, profitable, and of superior seed quality. Current state-of-the-art field crop management
Externí odkaz:
http://arxiv.org/abs/2409.00735
Large Transformer networks are increasingly used in settings where low inference latency can improve the end-user experience and enable new applications. However, autoregressive inference is resource intensive and requires parallelism for efficiency.
Externí odkaz:
http://arxiv.org/abs/2408.07802
Autor:
Arshad, Muhammad Arbab, Jubery, Talukder Zaki, Roy, Tirtho, Nassiri, Rim, Singh, Asheesh K., Singh, Arti, Hegde, Chinmay, Ganapathysubramanian, Baskar, Balu, Aditya, Krishnamurthy, Adarsh, Sarkar, Soumik
Plant stress phenotyping traditionally relies on expert assessments and specialized models, limiting scalability in agriculture. Recent advances in multimodal large language models (LLMs) offer potential solutions to this challenge. We present AgEval
Externí odkaz:
http://arxiv.org/abs/2407.19617
This paper explores speculative speech recognition (SSR), where we empower conventional automatic speech recognition (ASR) with speculation capabilities, allowing the recognizer to run ahead of audio. We introduce a metric for measuring SSR performan
Externí odkaz:
http://arxiv.org/abs/2407.04641
Autor:
Jignasu, Anushrut, Marshall, Kelly O., Mishra, Ankush Kumar, Rillo, Lucas Nerone, Ganapathysubramanian, Baskar, Balu, Aditya, Hegde, Chinmay, Krishnamurthy, Adarsh
G-code (Geometric code) or RS-274 is the most widely used computer numerical control (CNC) and 3D printing programming language. G-code provides machine instructions for the movement of the 3D printer, especially for the nozzle, stage, and extrusion
Externí odkaz:
http://arxiv.org/abs/2407.04180
Accurately modeling the dynamics of high-density ratio ($\mathcal{O}(10^5)$) two-phase flows is important for many applications in material science and manufacturing. In this work, we consider numerical simulations of molten metal undergoing microgra
Externí odkaz:
http://arxiv.org/abs/2406.17933