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Structure prediction drives materials discovery
Progress in the discovery of new materials has been accelerated by the development of
reliable quantum-mechanical approaches to crystal structure prediction. The properties of a …
reliable quantum-mechanical approaches to crystal structure prediction. The properties of a …
[HTML][HTML] A perspective on conventional high-temperature superconductors at high pressure: Methods and materials
Two hydrogen-rich materials, H 3 S and LaH 10, synthesized at megabar pressures, have
revolutionized the field of condensed matter physics providing the first glimpse to the …
revolutionized the field of condensed matter physics providing the first glimpse to the …
Penta-graphene: A new carbon allotrope
A 2D metastable carbon allotrope, penta-graphene, composed entirely of carbon pentagons
and resembling the Cairo pentagonal tiling, is proposed. State-of-the-art theoretical …
and resembling the Cairo pentagonal tiling, is proposed. State-of-the-art theoretical …
Machine-learning atomic simulation for heterogeneous catalysis
D Chen, C Shang, ZP Liu - npj Computational Materials, 2023 - nature.com
Heterogeneous catalysis is at the heart of chemistry. New theoretical methods based on
machine learning (ML) techniques that emerged in recent years provide a new avenue to …
machine learning (ML) techniques that emerged in recent years provide a new avenue to …
Interface structure prediction via CALYPSO method
The atomistic structures of solid–solid interfaces are of fundamental interests for
understanding physical properties of interfacial materials. However, determination of …
understanding physical properties of interfacial materials. However, determination of …
Two‐dimensional boron monolayers mediated by metal substrates
Abstract Two‐dimensional (2D) materials, such as graphene and boron nitride, have specific
lattice structures independent of external conditions. In contrast, the structure of 2D boron …
lattice structures independent of external conditions. In contrast, the structure of 2D boron …
Catalysis in the digital age: Unlocking the power of data with machine learning
BM Abraham, MV Jyothirmai, P Sinha… - Wiley …, 2024 - Wiley Online Library
The design and discovery of new and improved catalysts are driving forces for accelerating
scientific and technological innovations in the fields of energy conversion, environmental …
scientific and technological innovations in the fields of energy conversion, environmental …
CALYPSO structure prediction method and its wide application
Atomistic structure prediction from “scratch” is one of the central issues in physical, chemical,
materials and planetary science, and it will inevitably play a critical role in accelerating …
materials and planetary science, and it will inevitably play a critical role in accelerating …
Recent advances in La2NiMnO6 double perovskites for various applications; challenges and opportunities
Abstract Double perovskites R 2 NiMnO 6 (R= Rare earth element)(RNMO) are a significant
class of materials owing to their Multifunctional properties with the structural modifications. In …
class of materials owing to their Multifunctional properties with the structural modifications. In …
The XtalOpt evolutionary algorithm for crystal structure prediction
Significant progress has been made in the field of a priori crystal structure prediction, with a
number of recent remarkable success stories. Herein, we briefly outline the methods that …
number of recent remarkable success stories. Herein, we briefly outline the methods that …