MXene Photodetectors: From Materials Engineering to Versatile Optoelectronic Applications DOI
Shrouq H. Aleithan, Waqas Ahmad

Materials Today Energy, Год журнала: 2025, Номер unknown, С. 101906 - 101906

Опубликована: Апрель 1, 2025

Язык: Английский

Facile synthesis of Schiff base palladium (II) complex for efficient catalytic reduction of aromatic nitro compounds and organic dyes for wastewater remediation DOI

Abu Taha,

Nitu Singh,

Nowsheenah Farooq

и другие.

Journal of Molecular Liquids, Год журнала: 2025, Номер unknown, С. 127343 - 127343

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

Facile fabrication of NbTe2 doped with Ag via hydrothermal route for approaching the high performance toward supercapacitor applications DOI

Kashan Ali Gillani,

Ahmed M. Fallatah, Mohamed M. Ibrahim

и другие.

The European Physical Journal Plus, Год журнала: 2025, Номер 140(3)

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

0

Multi-principal element nanoparticles: Synthesis strategies and machine learning prediction DOI

Wail Al Zoubi,

Yujun Sheng,

Iftikhar Hussain

и другие.

Coordination Chemistry Reviews, Год журнала: 2025, Номер 535, С. 216656 - 216656

Опубликована: Апрель 3, 2025

Язык: Английский

Процитировано

0

Synthesis and Machine Learning Prediction of High Entropy Multi‐Principal Element Nanoparticles DOI

Wail Al Zoubi,

Yujun Sheng,

Iftikhar Hussain

и другие.

Small, Год журнала: 2025, Номер unknown

Опубликована: Апрель 14, 2025

Abstract The vast compositional space of multi‐principal element nanoparticles (MPENs), along with their unique properties and diverse applications, has garnered significant attention from the research community. MPENs exhibit properties, high configurational entropy, multi‐element synergy, long‐range atomic ordering, featuring distinct sublattices semi‐metallic or metallic components. This review reports recent approaches described in literature, highlighting commonalities differences, classifies them into general strategies. report discusses detail synthesis single‐phase MPENs. To integrate experimental validation computational preselection, machine learning (ML) offers opportunity to establish relationships between lattice structures, phase formations how collect analysis data. Additionally, challenges such as ML‐guided uncertainty quantification materials design are explored.

Язык: Английский

Процитировано

0

Exploring the antimicrobial, antioxidant efficacies and computational studies of tridentate ligands derived from xanthene Schiff base and their mononuclear diorganotin(IV) complexes DOI

Anju Ragshaniya,

Sonika Asija, Kashmiri Lal

и другие.

Inorganic Chemistry Communications, Год журнала: 2025, Номер unknown, С. 114543 - 114543

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

MXene Photodetectors: From Materials Engineering to Versatile Optoelectronic Applications DOI
Shrouq H. Aleithan, Waqas Ahmad

Materials Today Energy, Год журнала: 2025, Номер unknown, С. 101906 - 101906

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0