Results 131 to 140 of about 102,050 (305)
Template effect and kinetic control enable crystal‐phase engineering of Ru nanocrystals, granting access to either metastable fcc‐Ru or stable hcp‐Ru with distinct surface structures, thermal stabilities, and catalytic behaviors. Moreover, the hcp‐Ru can further serve as an epitaxial template to direct Pd and Rh nanocrystals into the metastable hcp ...
Jianlong He +3 more
wiley +1 more source
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source
Students' Proficiency in Computational Thinking Through Constructivist Learning Theory [PDF]
This study aims to analyse the mathematical computational thinking ability of Mathematics Education study program students in terms of constructivism learning theory.
Angraini, Lilis Marina +2 more
core
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
MXenes are a versatile family of 2D inorganic materials with applications in energy storage, shielding, sensing, and catalysis. This review highlights computational studies using density functional theory and machine-learning approaches to explore their ...
José D. Gouveia +3 more
doaj +1 more source
Approximation theory, computing, and deep learning on the Wasserstein space
The challenge of approximating functions in infinite-dimensional spaces from finite samples is widely regarded as formidable. In this study, we delve into the challenging problem of the numerical approximation of Sobolev-smooth functions defined on probability spaces. Our particular focus centers on the Wasserstein distance function, which serves as a
Massimo Fornasier +2 more
openaire +2 more sources
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
Computational Catalysis and Machine Learning Applications to Water Treatment Technologies
Electrocatalysis can offer new routes to water treatment. For example, electrocatalytic reduction is an emerging technology for treating oxyanions of concern in water. However, identification of highly performant, cost-effective catalysts remains a major
Shiqiang, Zou +5 more
core +1 more source
Teaching structural analysis theory with Jupyter Notebooks [PDF]
The STEAM model combines the academic disciplines of Science, Technology, Engineering, Arts, and Mathematics (STEAM), forming a very relevant and increasingly fundamental educational approach within technologically advanced societies. Real‐world concepts
Arce Fariña, María Elena +3 more
core +1 more source
Advances in Magnesium‐Based Thermoelectrics: A Critical Review
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang +5 more
wiley +1 more source

