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- Currently displaying 61 - 80 of 410 publications
Computational Surface Chemistry of Tetrahedral Amorphous Carbon by Combining Machine Learning and DFT
Chemistry of Materials
(2018)
30
7438
Information-driven inverse approach to disordered solids: Applications to amorphous silicon
Physical Review Materials
(2018)
2
115602
Modeling the Phase-Change Memory Material, Ge2Sb2Te5, with a Machine-Learned Interatomic Potential.
The Journal of Physical Chemistry Part B
(2018)
122
8998
(doi: 10.1021/acs.jpcb.8b06476)
Ultrafast logic computation using nanostructured Ge-Sb-Te phase-change memory materials
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256
Understanding the thermal properties of amorphous solids using machine-learning-based interatomic potentials
Molecular Simulation
(2018)
44
866
Gaussian approximation potential modeling of lithium intercalation in carbon nanostructures.
J Chem Phys
(2018)
148
241714
(doi: 10.1063/1.5016317)
Optical fibre-tip probes for SERS: numerical study for design considerations
Opt Express
(2018)
26
15539
(doi: 10.1364/oe.26.015539)
Realistic Atomistic Structure of Amorphous Silicon from Machine-Learning-Driven Molecular Dynamics.
The Journal of Physical Chemistry Letters
(2018)
9
2879
(doi: 10.1021/acs.jpclett.8b00902)
Origin of radiation tolerance in amorphous Ge2Sb2Te5 phase-change random-access memory material.
Proc Natl Acad Sci U S A
(2018)
115
5353
(doi: 10.1073/pnas.1800638115)
Similarity Between Amorphous and Crystalline Phases: The Case of TiO2
J Phys Chem Lett
(2018)
9
2985
(doi: 10.1021/acs.jpclett.8b01067)
Small-angle x-ray scattering in amorphous silicon: A computational study
Physical Review B
(2018)
97
184202
(doi: 10.1103/physrevb.97.184202)
Realistic atomistic structure of amorphous silicon from machine-learning-driven molecular dynamics
(2018)
(doi: 10.48550/arxiv.1803.02802)
Gaussian approximation potential modeling of lithium intercalation in carbon nanostructures
(2018)
(doi: 10.48550/arxiv.1712.04472)
Towards an atomistic understanding of disordered carbon electrode materials
Chemical communications (Cambridge, England)
(2018)
54
5988
(doi: 10.1039/c8cc01388h)
Structural properties of transition-metal clusters via force-biased Monte Carlo and ab initio calculations: A comparative study
Physical Review B
(2017)
96
174208
(doi: 10.1103/PhysRevB.96.174208)
The Significance of the Amorphous Potential Energy Landscape for Dictating Glassy Dynamics and Driving Solid-State Crystallisation
(2017)
(doi: 10.26434/chemrxiv.5328235.v2)
First-principles simulations of vibrational decay and lifetimes ina-Si:H anda-Si:D
Physical Review B
(2017)
95
104205
(doi: 10.1103/physrevb.95.104205)
Morphology and Number Density of Voids in Hydrogenated Amorphous Silicon: An Ab Initio Study
Physical Review Applied
(2017)
7
024013
The Significance of the Amorphous Potential Energy Landscape for Dictating Glassy Dynamics and Driving Solid-State Crystallisation
Physical Chemistry Chemical Physics
(2017)
19
30039
(doi: 10.1039/c7cp06664c)
The Relation between Chemical Bonding and Ultrafast Crystal Growth.
Adv Mater
(2017)
29
1700814
(doi: 10.1002/adma.201700814)