E-LIB Suche - Ergebnisse für: Yin, Junqi

1

Designing complex concentrated alloys with quantum machine ..:

Pei, Zongrui ; Gong, Yilun ; Liu, Xianglin.
Matter. , 2024

Link: https://doi.org/10.1016/..

2

Editorial: Big scientific data analytics on HPC and cloud:

Wang, Jianwu ; Yin, Junqi ; Nguyen, Mai H...
Frontiers in Big Data. 7 (2024) - p. , 2024

Link: https://doi.org/10.3389/..

3

Distributing Simplex-Shaped Nested for-Loops to Identify Ca..:

, In: 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS),

Dash, Sajal ; Haque Monil, Mohammad Alaul ; Yin, Junqi.. - p. 974-984 , 2023

Link: https://doi.org/10.1109/..

4

Toward the design of ultrahigh-entropy alloys via mining si..:

Pei, Zongrui ; Yin, Junqi ; Liaw, Peter K..
Nature Communications. 14 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

5

Evaluation of pre-training large language models on leaders..:

Yin, Junqi ; Dash, Sajal ; Gounley, John..
The Journal of Supercomputing. 79 (2023) 18 - p. 20747-20768 , 2023

Link: https://doi.org/10.1007/..

6

Adaptation analysis of insect-resistant transgenic line aft..:

Wang, Daming ; Yin, Junqi ; Wu, Fengci...
Plant, Soil and Environment. 69 (2023) 1 - p. 18-24 , 2023

Link: https://doi.org/10.17221..

7

Author Correction: Toward the design of ultrahigh-entropy a..:

Pei, Zongrui ; Yin, Junqi ; Liaw, Peter K..
Nature Communications. 14 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

8

FORGE: Pre-Training Open Foundation Models for Science:

, In: SC23: International Conference for High Performance Computing, Networking, Storage and Analysis,

Yin, Junqi ; Dash, Sajal ; Wang, Feiyi. - p. 1-13 , 2023

Link: https://doi.org/10.1145/..

9

FORGE: Pre-Training Open Foundation Models for Science:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,

Yin, Junqi ; Dash, Sajal ; Wang, Feiyi. - p. 1-13 , 2023

Link: https://dl.acm.org/doi/1..

10

DeepThermo: Deep Learning Accelerated Parallel Monte Carlo ..:

, In: 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS),

Yin, Junqi ; Wang, Feiyi ; Shankar, Mallikarjun Arjun - p. 333-343 , 2023

Link: https://doi.org/10.1109/..

11

Biochemical analyses demonstrate that Bt maize has no adver..:

Wu, Fengci ; Jiang, Zhilei ; Wang, Baifeng...
PLOS ONE. 17 (2022) 6 - p. e0269303 , 2022

Link: https://doi.org/10.1371/..

12

Machine Learning for First Principles Calculations of Mater..:

, In: Communications in Computer and Information Science; Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation,

Eisenbach, Markus ; Karabin, Mariia ; Lupo Pasini, Massimiliano. - p. 75-86 , 2022

Link: https://doi.org/10.1007/..

13

Atomic structure generation from reconstructing structural ..:

Fung, Victor ; Jia, Shuyi ; Zhang, Jiaxin...
Machine Learning: Science and Technology. 3 (2022) 4 - p. 045018 , 2022

Link: https://doi.org/10.1088/..

14

AI Benchmarking for Science: Efforts from the MLCommons Sci..:

, In: Lecture Notes in Computer Science; High Performance Computing. ISC High Performance 2022 International Workshops,

Thiyagalingam, Jeyan ; von Laszewski, Gregor ; Yin, Junqi... - p. 47-64 , 2022

Link: https://doi.org/10.1007/..

15

Learning to Scale the Summit: AI for Science on a Leadershi..:

, In: 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),

Joubert, Wayne ; Messer, Bronson ; Roth, Philip C.... - p. 1246-1255 , 2022

Link: https://doi.org/10.1109/..