Physics-inspired structural representations for molecules and materials

F Musil, A Grisafi, AP Bartók, C Ortner… - Chemical …, 2021 - ACS Publications
The first step in the construction of a regression model or a data-driven analysis, aiming to
predict or elucidate the relationship between the atomic-scale structure of matter and its …

Aluminium alloys as structural material: A review of research

E Georgantzia, M Gkantou, GS Kamaris - Engineering Structures, 2021 - Elsevier
Over the last few decades aluminium alloys have been increasingly used in the construction
sector due to their favourable properties. Thereafter, many research projects have been …

Hypocrystalline ceramic aerogels for thermal insulation at extreme conditions

J Guo, S Fu, Y Deng, X Xu, S Laima, D Liu, P Zhang… - Nature, 2022 - nature.com
Thermal insulation under extreme conditions requires materials that can withstand complex
thermomechanical stress and retain excellent thermal insulation properties at temperatures …

From DFT to machine learning: recent approaches to materials science–a review

GR Schleder, ACM Padilha, CM Acosta… - Journal of Physics …, 2019 - iopscience.iop.org
Recent advances in experimental and computational methods are increasing the quantity
and complexity of generated data. This massive amount of raw data needs to be stored and …

Engineered disorder in photonics

S Yu, CW Qiu, Y Chong, S Torquato, N Park - Nature Reviews Materials, 2021 - nature.com
Disorder, which qualitatively describes some measure of irregularities in spatial patterns, is
ubiquitous in many-body systems, equilibrium and non-equilibrium states of matter, network …

Atomic cluster expansion for accurate and transferable interatomic potentials

R Drautz - Physical Review B, 2019 - APS
The atomic cluster expansion is developed as a complete descriptor of the local atomic
environment, including multicomponent materials, and its relation to a number of other …

Long-range ordered porous carbons produced from C60

F Pan, K Ni, T Xu, H Chen, Y Wang, K Gong, C Liu, X Li… - Nature, 2023 - nature.com
Carbon structures with covalent bonds connecting C60 molecules have been reported,–, but
their production methods typically result in very small amounts of sample, which restrict the …

Synthesis of paracrystalline diamond

H Tang, X Yuan, Y Cheng, H Fei, F Liu, T Liang, Z Zeng… - Nature, 2021 - nature.com
Solids in nature can be generally classified into crystalline and non-crystalline states,,,,,–,
depending on whether long-range lattice periodicity is present in the material. The …

Self-assembly of nanocrystals into strongly electronically coupled all-inorganic supercrystals

I Coropceanu, EM Janke, J Portner, D Haubold… - Science, 2022 - science.org
Colloidal nanocrystals of metals, semiconductors, and other functional materials can self-
assemble into long-range ordered crystalline and quasicrystalline phases, but insulating …

Machine learning a general-purpose interatomic potential for silicon

AP Bartók, J Kermode, N Bernstein, G Csányi - Physical Review X, 2018 - APS
The success of first-principles electronic-structure calculation for predictive modeling in
chemistry, solid-state physics, and materials science is constrained by the limitations on …