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Junqi Yin
Junqi Yin
National Center for Computational Sciences, Oak Ridge National Laboratory
Bestätigte E-Mail-Adresse bei ornl.gov
Titel
Zitiert von
Zitiert von
Jahr
Phylogenetically novel uncultured microbial cells dominate earth microbiomes
KG Lloyd, AD Steen, J Ladau, J Yin, L Crosby
MSystems 3 (5), 10.1128/msystems. 00055-18, 2018
2932018
The design, deployment, and evaluation of the CORAL pre-exascale systems
SS Vazhkudai, BR De Supinski, AS Bland, A Geist, J Sexton, J Kahle, ...
SC18: International Conference for High Performance Computing, Networking …, 2018
1862018
Supercomputer-based ensemble docking drug discovery pipeline with application to COVID-19
A Acharya, R Agarwal, MB Baker, J Baudry, D Bhowmik, S Boehm, ...
Journal of chemical information and modeling 60 (12), 5832-5852, 2020
1552020
Machine-learning informed prediction of high-entropy solid solution formation: Beyond the Hume-Rothery rules
Z Pei, J Yin, JA Hawk, DE Alman, MC Gao
npj Computational Materials 6 (1), 50, 2020
1302020
Phase diagram and critical behavior of the square-lattice Ising model with competing nearest-neighbor and next-nearest-neighbor interactions
J Yin, DP Landau
Physical Review E 80 (5), 051117, 2009
642009
First principle study of magnetism and vacancy energetics in a near equimolar NiFeMnCr high entropy alloy
C Li, J Yin, K Odbadrakh, BC Sales, SJ Zinkle, GM Stocks, BD Wirth
Journal of Applied Physics 125 (15), 2019
602019
Effect of lattice vibrations on magnetic phase transition in bcc iron
J Yin, M Eisenbach, DM Nicholson, A Rusanu
Physical Review B 86 (21), 214423, 2012
592012
Robust data-driven approach for predicting the configurational energy of high entropy alloys
J Zhang, X Liu, S Bi, J Yin, G Zhang, M Eisenbach
Materials & Design 185, 108247, 2020
582020
Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: A data-driven approach
X Liu, J Zhang, J Yin, S Bi, M Eisenbach, Y Wang
Computational Materials Science 187, 110135, 2021
472021
Short-time dynamics and critical behavior of three-dimensional bond-diluted Potts model
JQ Yin, B Zheng, VV Prudnikov, S Trimper
The European Physical Journal B-Condensed Matter and Complex Systems 49, 195-203, 2006
422006
Phylogenetically novel uncultured microbial cells dominate earth microbiomes. mSystems 3: e00055-18
KG Lloyd, AD Steen, J Ladau, J Yin, L Crosby
402018
Massively parallel Wang–Landau sampling on multiple GPUs
J Yin, DP Landau
Computer Physics Communications 183 (8), 1568-1573, 2012
342012
Impeccable: Integrated modeling pipeline for covid cure by assessing better leads
AA Saadi, D Alfe, Y Babuji, A Bhati, B Blaiszik, A Brace, T Brettin, K Chard, ...
Proceedings of the 50th International Conference on Parallel Processing, 1-12, 2021
332021
Dynamic Profiling of β-Coronavirus 3CL Mpro Protease Ligand-Binding Sites
E Cho, M Rosa, R Anjum, S Mehmood, M Soban, M Mujtaba, K Bux, ...
Journal of Chemical Information and Modeling 61 (6), 3058-3073, 2021
332021
Exascale deep learning for scientific inverse problems
N Laanait, J Romero, J Yin, MT Young, S Treichler, V Starchenko, ...
arXiv preprint arXiv:1909.11150, 2019
332019
Dynamic Monte Carlo simulations of the three-dimensional random-bond Potts model
JQ Yin, B Zheng, S Trimper
Physical Review E 72 (3), 036122, 2005
312005
Toward the design of ultrahigh-entropy alloys via mining six million texts
Z Pei, J Yin, PK Liaw, D Raabe
nature communications 14 (1), 54, 2023
302023
Structural properties and thermodynamics of water clusters: A Wang–Landau study
J Yin, DP Landau
The Journal of chemical physics 134 (7), 2011
302011
Phonon-magnon interactions in body centered cubic iron: A combined molecular and spin dynamics study
D Perera, DP Landau, DM Nicholson, G Malcolm Stocks, M Eisenbach, ...
Journal of Applied Physics 115 (17), 2014
272014
Machine learning as a contributor to physics: Understanding Mg alloys
Z Pei, J Yin
Materials & Design 172, 107759, 2019
252019
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