Results 61 to 70 of about 1,420 (210)

Ionic Liquid Electrolytes for Extreme Temperature Conditions: Challenges and Perspective

Angewandte Chemie, EarlyView.
Ionic liquids (ILs) have gained great attention as safe electrolyte components in recent years. This review elucidates the temperature effects on IL‐based electrolytes from molecular configurations, physicochemical properties, and interfacial chemistry, raises the challenges and design strategies operating at low‐ and HT, providing valuable guidance ...
En Xie, Chengdong Liu, Xinghao Wang, Jian Wang, Zhen Chen, Huihua Li, Wenlong Cai, Hao Li, Yang Peng, Fanglin Wu, Stefano Passerini, Haolin Tang   +11 more
wiley   +2 more sources

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

Unlocking Zn‐Ion Diffusion in Disordered Rocksalt Cathodes for Nonaqueous Zn‐Ion Batteries

Angewandte Chemie, EarlyView.
Developing viable cathode materials for multivalent battery chemistries is challenging due to the intrinsic sluggish diffusion kinetics. A disordered rocksalt oxide host was found to “lock” the cycling of zinc ions from nonaqueous electrolyte. We unlock zinc ion diffusion in the disordered rocksalt by introduction of a percolating vacancy network ...
Zixuan Li, Rui Qi, Yee Chit Wong, Longlong Wang, Jun Chen, Yi Yuan, Reinhard J. Maurer, Robert A. House, Nicholas D. M. Hine, Peter G. Bruce, Alex W. Robertson   +10 more
wiley   +2 more sources

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Phase-Dependent Electrocatalytic H₂O₂ Selectivity of Fe-Based Spinels. [PDF]

ACS Omega
Escorcia O, Ávila H, Medrano OS, Valle AD, Rodríguez DJ, QuiñonesD CA, Santiago MB, Vázquez RJ, Nenadich AA, Del Pilar J.   +9 more
europepmc   +1 more source

Harnessing eco-friendly synthesis: the in vitro bioactivity and biocompatibility of ceramic spinels. [PDF]

Sci Rep
Kenawy SH, El-Bassyouni GT, Hamzawy EMA, Abo-Elfadl MT, El-Hamid HKA.   +4 more
europepmc   +1 more source

Immersion Freezing Efficiency of ZnAl₂O₄ and MgAl₂O₄ Spinels, ZnO, and MgO: The Role of Oxygen Vacancies. [PDF]

J Phys Chem A
Mitch R, Tassanov A, Troesch BP, Hwang M, Baumann N, Alexopoulos K, Hodges JM, Freedman MA.   +7 more
europepmc   +1 more source

Defect-Driven Optical Modulation in Rare-Earth-Modified Zn₂SnO₄ Spinels for Advanced Optoelectronic Applications. [PDF]

ACS Omega
Raji RK, Alnahdi NS, Hamam T, Qamhieh N, Najar A, Awwad F, Mahmoud ST.   +6 more
europepmc   +1 more source

Color‐Center‐Driven Inorganic Photochromic Materials: Mechanisms, Classifications and Property Modulation

Advanced Physics Research, EarlyView.
This review explores color‐center‐mediated photochromism in inorganic materials and elaborates on defect‐originated photochromic fundamentals. It categorizes typical material systems by three core color‐center sources, including oxygen vacancies, non‐oxygen anion‐related defects, and cation‐related defects and summarizes feasible defect engineering ...
Jingxuan Zhang, Jiaren Du, Hengwei Lin, Dirk Poelman   +3 more
wiley   +1 more source

Correction: Half-metallic ferromagnetism and thermoelectric-efficient behavior in chalcogenide spinels MgNi₂X₄ (X = S, Se): a first-principles approach. [PDF]

RSC Adv
Ramzan A, Sofi MY, Ishfaq-Ul-Islam M, Khan MS, Khan MA.   +4 more
europepmc   +1 more source