Tips on using this search form
- All search terms are case-insensitive
- If you specify more than one search option (e.g. you search for both "Authors" and "Paper title") then the publications returned will be those that match all of your search terms
- To reset the search form, click here
- Currently displaying 41 - 60 of 411 publications
Synergy effect of co-doping Sc and Y in Sb2Te3 for phase-change memory
– Journal of Materials Chemistry C
(2020)
8,
6672
(doi: 10.1039/d0tc01693d)
Two-dimensional molybdenum carbides: active electrocatalysts for the nitrogen reduction reaction
– Journal of Materials Chemistry A
(2020)
8,
23947
(doi: 10.1039/d0ta07039d)
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
– Nat Commun
(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 Edition
(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 Appl Mater Interfaces
(2018)
10,
41855
(doi: 10.1021/acsami.8b16033)
Impedance-based sensor for potassium ions.
– Anal Chim 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 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 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)