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TANG LONGWEN
TANG LONGWEN
Verified email at ucla.edu
Title
Cited by
Cited by
Year
Mesoscopic simulation of the dynamic tensile behaviour of concrete based on a rate-dependent cohesive model
W Zhou, L Tang, X Liu, G Ma, M Chen
International Journal of Impact Engineering 95, 165-175, 2016
712016
Effects of polydispersity and disorder on the mechanical properties of hydrated silicate gels
H Liu, S Dong, L Tang, NMA Krishnan, G Sant, M Bauchy
Journal of the Mechanics and Physics of Solids 122, 555-565, 2019
402019
Effect of nanoscale phase separation on the fracture behavior of glasses: Toward tough, yet transparent glasses
L Tang, NMA Krishnan, J Berjikian, J Rivera, MM Smedskjaer, JC Mauro, ...
Physical Review Materials 2 (11), 113602, 2018
342018
Three-dimensional mesoscopic simulation of the dynamic tensile fracture of concrete
L Tang, W Zhou, X Liu, G Ma, M Chen
Engineering Fracture Mechanics 211, 269-281, 2019
292019
Predicting the early-stage creep dynamics of gels from their static structure by machine learning
H Liu, S Xiao, L Tang, E Bao, E Li, C Yang, Z Zhao, G Sant, ...
Acta Materialia 210, 116817, 2021
242021
Beyond the Average: Spatial and Temporal Fluctuations in Oxide Glass-Forming Systems
KA Kirchner, DR Cassar, ED Zanotto, M Ono, SH Kim, K Doss, ML Bødker, ...
Chemical Reviews, 2022
232022
Long-term creep deformations in colloidal calcium–silicate–hydrate gels by accelerated aging simulations
H Liu, S Dong, L Tang, NMA Krishnan, E Masoero, G Sant, M Bauchy
Journal of colloid and interface science 542, 339-346, 2019
222019
The energy landscape governs ductility in disordered materials
L Tang, H Liu, G Ma, T Du, N Mousseau, W Zhou, M Bauchy
Materials Horizons 8 (4), 1242-1252, 2021
202021
Predicting fracture propensity in amorphous alumina from its static structure using machine learning
T Du, H Liu, L Tang, SS Sørensen, M Bauchy, MM Smedskjaer
ACS nano 15 (11), 17705-17716, 2021
192021
Spatial correlation and temporal evolution of plastic heterogeneity in sheared granular materials
G Ma, Y Zou, Y Chen, L Tang, T Ng, W Zhou
Powder Technology 378, 263-273, 2021
192021
Modeling the nanoindentation response of silicate glasses by peridynamic simulations
Y Cao, M Kazembeyki, L Tang, NMA Krishnan, MM Smedskjaer, ...
Journal of the American Ceramic Society 104 (7), 3531-3544, 2021
122021
Structural percolation controls the precipitation kinetics of colloidal calcium–silicate–hydrate gels
H Liu, L Tang, NMA Krishnan, G Sant, M Bauchy
Journal of Physics D: Applied Physics 52 (31), 315301, 2019
92019
Challenges and opportunities in atomistic simulations of glasses: a review
H Liu, Z Zhao, Q Zhou, R Chen, K Yang, Z Wang, L Tang, M Bauchy
Comptes Rendus. Géoscience 354 (S1), 35-77, 2022
82022
Atomic Dislocations and Bond Rupture Govern Dissolution Enhancement under Acoustic Stimulation
L Tang, S Dong, R Arnold, EC La Plante, JC Vega-Vila, D Prentice, ...
ACS Applied Materials & Interfaces 12 (49), 55399-55410, 2020
82020
Bulk Metallic Glasses’ Response to Oscillatory Stress Is Governed by the Topography of the Energy Landscape
L Tang, G Ma, H Liu, W Zhou, M Bauchy
The Journal of Physical Chemistry B 124 (49), 11294-11298, 2020
62020
Spatial clustering of microscopic dynamics governs the slip avalanche of sheared granular materials
J Mei, G Ma, L Tang, K Gao, W Cao, W Zhou
International Journal of Plasticity 163, 103570, 2023
42023
Dissolution Amplification by Resonance and Cavitational Stimulation at Ultrasonic and Megasonic Frequencies
RA Arnold, S Dong, L Tang, D Prentice, M Collin, JC Vega-Vila, ...
The Journal of Physical Chemistry C 126 (7), 3432-3442, 2022
42022
A mathematical model of the expansion evolution of magnesium oxide in mass concrete based on hydration characteristics
C Feng, C Zhao, X Yu, J Xiong, L Tang
Materials 14 (12), 3162, 2021
42021
The brittle-to-ductile transition in aluminosilicate glasses is driven by topological and dynamical heterogeneity
L Tang, MM Smedskjaer, M Bauchy
Acta Materialia 247, 118740, 2023
32023
Predicting the crystalline phase generation effectively in monosized granular matter using machine learning
Y Zhang, G Ma, L Tang, W Zhou
Granular Matter 24, 1-13, 2022
32022
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Articles 1–20