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- Currently displaying 41 - 60 of 412 publications
Temperature-induced nanostructural evolution of hydrogen-rich voids in amorphous silicon: a first-principles study.
– Nanoscale
(2020)
12,
1464
(doi: 10.1039/c9nr08209c)
Structural transitions in dense disordered silicon from quantum-accurate ultra-large-scale simulations
(2019)
(doi: 10.48550/arxiv.1912.07344)
Structural evolution of fused silica below the glass-transition temperature revealed by in-situ neutron total scattering
– Journal of Non-Crystalline Solids
(2019)
528,
119760
Hyperuniformity and static structure factor of amorphous silicon in the infinite-wavelength limit
– Journal of Physics: Conference Series
(2019)
1252,
012003
Revealing the intrinsic nature of the mid-gap defects in amorphous Ge2Sb2Te5
– Nature Communications
(2019)
10,
3065
(doi: 10.1038/s41467-019-10980-w)
Mid-IR Evanescent-field Fiber Sensor with Enhanced Sensitivity for Volatile Organic Compounds
– RSC Advances
(2019)
9,
21186
(doi: 10.1039/c9ra04104d)
A first-principles study on the lattice thermal conductivity of
irradiated glassy states of the Ge$_2$Sb$_2$Te$_5$ phase-change memory
material
(2019)
(doi: 10.1063/1.5132962)
Role of carbon-rings in polycrystalline GeSb2Te4 phase-change material
– Journal of Alloys and Compounds
(2019)
782,
852
Quantifying Chemical Structure and Machine-Learned Atomic Energies in Amorphous and Liquid Silicon.
– Angewandte Chemie (International ed. in English)
(2019)
58,
7057
(doi: 10.1002/anie.201902625)
Quantifying Chemical Structure and Machine‐Learned Atomic Energies in Amorphous and Liquid Silicon
– Angewandte Chemie
(2019)
131,
7131
(doi: 10.1002/ange.201902625)
Ultrafast Nanoscale Phase-Change Memory Enabled by Single-Pulse Conditioning
– ACS Applied Materials & Interfaces
(2018)
10,
41855
(doi: 10.1021/acsami.8b16033)
Impedance-based sensor for potassium ions
– Analytica Chimica Acta
(2018)
1034,
39
(doi: 10.1016/j.aca.2018.06.044)
Ab initio computer simulations of non-equilibrium radiation-induced cascades in amorphous Ge2Sb2Te5
– Journal of Physics Condensed Matter
(2018)
30,
455401
(doi: 10.1088/1361-648x/aae340)
Computational Surface Chemistry of Tetrahedral Amorphous Carbon by Combining Machine Learning and Density Functional Theory
– 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.
– Journal of Physical Chemistry B
(2018)
122,
8998
(doi: 10.1021/acs.jpcb.8b06476)
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.
– The Journal of chemical physics
(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)