Jha, Shantenu - Výsledky hľadania

Hľadaj kolekcie:

Utriediť podľa:	Zobraziť výsledky:	Výstupný formát:

CERN Document Server	2 záznamov nájdených	Hľadanie trvalo 1.39 sekúnd.

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions / Alexeev, Yuri (Argonne, PHY) ; Amsler, Maximilian (Unlisted, DE) ; Barroca, Marco Antonio (Rio de Janeiro, IMPA ; Rio de Janeiro, CBPF) ; Bassini, Sanzio (CINECA) ; Battelle, Torey (Arizona State U.) ; Camps, Daan (LBL, Berkeley) ; Casanova, David (Donostia Intl. Phys. Ctr., San Sebastian ; IKERBASQUE, Bilbao ; Basque U., Bilbao) ; Choi, Young Jai (Yonsei U.) ; Chong, Frederic T. (Chicago U.) ; Chung, Charles (IBM Watson Res. Ctr.) et al.
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their simulation, analysis, and data resources. [...]
arXiv:2312.09733; FERMILAB-PUB-24-0001-SQMS; LA-UR-24-20107.- 2024-05-31 - 45 p. Fulltext: 2312.09733 - PDF; FERMILAB-PUB-24-0001-SQMS - PDF; 990a7c5cfb7293c88d2918a117658c8c - PDF; External link: Fermilab Accepted Manuscript

Úplný záznam

Pandemic drugs at pandemic speed: infrastructure for accelerating COVID-19 drug discovery with hybrid machine learning- and physics-based simulations on high-performance computers / Bhati, Agastya P (University Coll. London) ; Wan, Shunzhou (U. Coll. London) ; Alfè, Dario (U. Coll. London) ; Clyde, Austin R (Chicago U.) ; Bode, Mathis (RWTH Aachen U.) ; Tan, Li (Brookhaven Natl. Lab.) ; Titov, Mikhail (Rutgers U., Piscataway) ; Merzky, Andre (Rutgers U., Piscataway) ; Turilli, Matteo (Rutgers U., Piscataway) ; Jha, Shantenu (Brookhaven Natl. Lab. ; Rutgers U., Piscataway) et al.
The race to meet the challenges of the global pandemic has served as a reminder that the existing drug discovery process is expensive, inefficient and slow. There is a major bottleneck screening the vast number of potential small molecules to shortlist lead compounds for antiviral drug development. New opportunities to accelerate drug discovery lie at the interface between machine learning methods, in this case, developed for linear accelerators, and physics-based methods. [...]
2021 - 12 p. - Published in : Interface Focus 11 (2021) 20210018

Úplný záznam

Viď tiež: podobné mená autorov
89	Jha, S
1	Jha, S K
1	Jha, S N
3	Jha, S S
18	Jha, S W
3	Jha, S.
2	Jha, Sanjay
1	Jha, Sanjeev Kumar
19	Jha, Saurabh
39	Jha, Saurabh W
1	Jha, Shankar
1	Jha, Shankar K
2	Jha, Shefali
1	Jha, Siddhartha
2	Jha, Somesh
1	Jha, Srivardhini
1	Jha, Sudan
1	Jha, Sudhanshu S
1	Jha, Sumit Kumar
1	Jha, Sunny
3	Jha, Susmit

Prajete si byť pravidelne informovaný o výsledkoch tohto hľadania?
Založte si osobný email alert alebo použite RSS feed.

Nenašli ste čo ste hľadali? Skúste Vašu otázku na iných serveroch:
Jha, Shantenu v Amazon Jha, Shantenu v CERN EDMS Jha, Shantenu v CERN Intranet Jha, Shantenu v CiteSeer Jha, Shantenu v Google Books Jha, Shantenu v Google Scholar Jha, Shantenu v Google Web Jha, Shantenu v IEC	Jha, Shantenu v IHS Jha, Shantenu v INSPIRE Jha, Shantenu v ISO Jha, Shantenu v KISS Books/Journals Jha, Shantenu v KISS Preprints Jha, Shantenu v NEBIS Jha, Shantenu v SLAC Library Catalog Jha, Shantenu v Scirus

CERN Document Server

Access articles, reports and multimedia content in HEP

Main menu

		Tipy pre vyhľadávanie Rozšírené Hľadanie
Add to Search +

CERN Accelerating science