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MAGUS: machine learning and graph theory assisted universal structure searcher
Crystal structure predictions based on first-principles calculations have gained great
success in materials science and solid state physics. However, the remaining challenges …
success in materials science and solid state physics. However, the remaining challenges …
[HTML][HTML] Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials
Molecular dynamics (MD) simulations play an important role in understanding and
engineering heat transport properties of complex materials. An essential requirement for …
engineering heat transport properties of complex materials. An essential requirement for …
Uranus's complex internal structure
Context. Uranus's bulk composition remains unknown. Although there are clear indications
that Uranus's interior is not fully convec-tive, and therefore has a non-adiabatic temperature …
that Uranus's interior is not fully convec-tive, and therefore has a non-adiabatic temperature …
Hydrogen diffusion in zirconium hydrides from on-the-fly machine learning molecular dynamics
Reactor pressure vessels and fuel cladding tubes have repeatedly failed due to zirconium
hydrides. Zirconium hydride precipitation and growth are directly affected by hydrogen atom …
hydrides. Zirconium hydride precipitation and growth are directly affected by hydrogen atom …
Double superionicity in icy compounds at planetary interior conditions
The elements hydrogen, carbon, nitrogen and oxygen are assumed to comprise the bulk of
the interiors of the ice giant planets Uranus, Neptune, and sub-Neptune exoplanets. The …
the interiors of the ice giant planets Uranus, Neptune, and sub-Neptune exoplanets. The …
A hybrid approach to generating diatomic line lists for high resolution studies of exoplanets and other hot astronomical objects: updates to ExoMol MgO, TiO, and VO …
The best molecular line lists for astrophysical applications today require both high accuracy
of line positions for strong lines as well as high overall completeness. The former is required …
of line positions for strong lines as well as high overall completeness. The former is required …
Universal insertion of molecules in ionic compounds under pressure
Using first-principles calculations and crystal structure search methods, we found that many
covalently bonded molecules such as H2, N2, CO2, NH3, H2O and CH4 may react with …
covalently bonded molecules such as H2, N2, CO2, NH3, H2O and CH4 may react with …
Spectroscopic study of [Mg, H, N, C, O] species: Implications for the astrochemical magnesium chemistry
L Wang, X Jiang, T Trabelsi, G Wang… - Journal of the …, 2024 - ACS Publications
Magnesium is an abundant metal element in space, and magnesium chemistry has vital
importance in the evolution of interstellar medium (ISM) and circumstellar regions, such as …
importance in the evolution of interstellar medium (ISM) and circumstellar regions, such as …
Stability and superionicity of and at extreme conditions
Stable compounds comprising nitrogen, sulfur, and hydrogen elements hold significant
promise in hydride superconductors and astrophysical matter. Herein, we utilize a blend of …
promise in hydride superconductors and astrophysical matter. Herein, we utilize a blend of …
Predicting melting temperatures across the periodic table with machine learning atomistic potentials
Understanding how materials melt is crucial for their practical applications and development,
thereby enabling us to predict their behavior in real-world environmental conditions …
thereby enabling us to predict their behavior in real-world environmental conditions …