Zobrazeno 1 - 10
of 2 139
pro vyhledávání: '"A. Vashishta"'
Autor:
Gandhi, Yash, Zheng, Kexin, Jha, Birendra, Nomura, Ken-ichi, Nakano, Aiichiro, Vashishta, Priya, Kalia, Rajiv K.
Forecasting oil production from oilfields with multiple wells is an important problem in petroleum and geothermal energy extraction, as well as energy storage technologies. The accuracy of oil forecasts is a critical determinant of economic projectio
Externí odkaz:
http://arxiv.org/abs/2409.16482
Autor:
Linker, Thomas M., Dagar, Ritika, Feinberg, Alexandra, Sahel-Schackis, Samuel, Nomura, Ken-ichi, Nakano, Aiichiro, Shimojo, Fuyuki, Vashishta, Priya, Bergmann, Uwe, Kling, Matthias F., Summers, Adam M.
High electric fields can significantly alter catalytic environments and the resultant chemical processes. Such fields arise naturally in biological systems but can also be artificially induced through localized excitations at nanoscale. Recently, str
Externí odkaz:
http://arxiv.org/abs/2406.15602
Autor:
Dagar, Ritika, Zhang, Wenbin, Rosenberger, Philipp, Linker, Thomas M., Sousa-Castillo, Ana, Neuhaus, Marcel, Mitra, Sambit, Biswas, Shubhadeep, Feinberg, Alexandra, Summers, Adam M., Nakano, Aiichiro, Vashishta, Priya, Shimojo, Fuyuki, Wu, Jian, Vera, Cesar Costa, Maier, Stefan A., Cortés, Emiliano, Bergues, Boris, Kling, Matthias F.
Surface charges play a fundamental role in physics and chemistry, particularly in shaping the catalytic properties of nanomaterials. Tracking nanoscale surface charge dynamics remains challenging due to the involved length and time scales. Here, we d
Externí odkaz:
http://arxiv.org/abs/2401.02621
Autor:
Nomura, Ken-ichi, Mishra, Ankit, Sang, Tian, Kalia, Rajiv K., Nakano, Aiichiro, Vashishta, Priya
Diffusion in solids is a slow process that dictates rate-limiting processes in key chemical reactions. Unlike crystalline solids that offer well-defined diffusion pathways, the lack of similar structural motifs in amorphous or glassy materials poses
Externí odkaz:
http://arxiv.org/abs/2312.05445
Autor:
Udit Choubey, Vashishta Avadhani Upadrasta, Inder P. Kaur, Himanshi Banker, Sai Gautham Kanagala, F. N. U. Anamika, Mini Virmani, Rohit Jain
Publikováno v:
The Egyptian Journal of Internal Medicine, Vol 36, Iss 1, Pp 1-10 (2024)
Abstract Background This review aims to comprehensively explore the integration of artificial intelligence (AI) in the prevention, diagnosis, and treatment of metabolic syndrome (MetS). MetS is characterized by a cluster of conditions, posing a growi
Externí odkaz:
https://doaj.org/article/719cdc935d1f4435b7267db762da8c72
Autor:
Maheedhar Kodali, Leelavathi N. Madhu, Venkata Sai Vashishta Kolla, Sahithi Attaluri, Charles Huard, Yogish Somayaji, Bing Shuai, Chase Jordan, Xiaolan Rao, Sanath Shetty, Ashok K. Shetty
Publikováno v:
Military Medical Research, Vol 11, Iss 1, Pp 1-23 (2024)
Abstract Background Chronic Gulf War Illness (GWI) is characterized by cognitive and mood impairments, as well as persistent neuroinflammation and oxidative stress. This study aimed to investigate the efficacy of Epidiolex®, a Food and Drug Administ
Externí odkaz:
https://doaj.org/article/bdbff770ddb04c3cb3105d2ca65a4300
Autor:
Ibayashi, Hikaru, Razakh, Taufeq Mohammed, Yang, Liqiu, Linker, Thomas, Olguin, Marco, Hattori, Shinnosuke, Luo, Ye, Kalia, Rajiv K., Nakano, Aiichiro, Nomura, Ken-ichi, Vashishta, Priya
Neural-network quantum molecular dynamics (NNQMD) simulations based on machine learning are revolutionizing atomistic simulations of materials by providing quantum-mechanical accuracy but orders-of-magnitude faster, illustrated by ACM Gordon Bell pri
Externí odkaz:
http://arxiv.org/abs/2303.08169
Understanding oxidation mechanisms of layered semiconducting transition-metal dichalcogenide (TMDC) is important not only for controlling native oxide formation but also for synthesis of oxide and oxysulfide products. Here, reactive molecular dynamic
Externí odkaz:
http://arxiv.org/abs/2303.03220
Autor:
Liu, Kuang, Kalia, Rajiv K., Liu, Xinlian, Nakano, Aiichiro, Nomura, Ken-ichi, Vashishta, Priya, Zamora-Resendizc, Rafael
Machine learning (ML) is revolutionizing protein structural analysis, including an important subproblem of predicting protein residue contact maps, i.e., which amino-acid residues are in close spatial proximity given the amino-acid sequence of a prot
Externí odkaz:
http://arxiv.org/abs/2212.02251
Autor:
Nitish Baradwaj, Anikeya Aditya, Ankit Mishra, Kory Burns, Eric Lang, Jordan A. Hachtel, Khalid Hattar, Assel Aitkaliyeva, Aiichiro Nakano, Priya Vashishta, Rajiv Kalia
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-8 (2024)
Abstract Surface acoustic waves (SAWs) propagate along solid-air, solid-liquid, and solid-solid interfaces. Their characteristics depend on the elastic properties of the solid. Combining transmission electron microscopy (TEM) experiments with molecul
Externí odkaz:
https://doaj.org/article/33449a2870e643b9b5b506650c1b9087