Generative Models for Crystalline Materials
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni +15 more
wiley +1 more source
Computational thinking as a mediator between modeling self-efficacy and flexible thinking in pre-service science teachers. [PDF]
Beyazhancer R, Cepni S.
europepmc +1 more source
Tin Oxide‐Anchored MXene Composites for Enhanced Hydrogen Evolution in Alkaline Media
The schematic illustrates a SnO2/MXene heterostructure for efficient hydrogen evolution. SnO2 nanoparticles are uniformly anchored on conductive MXene nanosheets, enhancing charge transfer and catalytic activity. The MXene substrate provides high electrical conductivity and abundant active sites, while SnO2 facilitates water adsorption and dissociation.
Pratik Shinde +8 more
wiley +1 more source
Supervised machine learning models for predicting student mathematics performance in Somaliland primary examinations 2023. [PDF]
Hassan MA +3 more
europepmc +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
The cognitive foundations of STEM achievement: a cross-national multilevel and SEM investigation. [PDF]
Metli A.
europepmc +1 more source
This manuscript describes the design and validation of an innovative melt electrowriting printer. With a turntable collector and modular software architecture, it unifies previous advanced MEW printer capabilities and enhances adaptability for a wide range of research applications.
Timo Baroth +3 more
wiley +1 more source
The Relationship Between the Mathematics Anxiety and Mathematics Achievement of Middle School Students: The Moderating Effect of Working Memory. [PDF]
Ma H, Sun C.
europepmc +1 more source
Development of Laterally Graded X‐Ray Multilayer Optics
This work presents the development of laterally graded X‐ray multilayer optics with both constant and variable lateral gradients. By precisely controlling substrate speed profiles and mask design, these multilayers achieve highly accurate lateral gradients and excellent sagittal thickness uniformity, making them ideal for spectroscopy application at ...
Arindam Majhi +11 more
wiley +1 more source
The Impact of Parental Mathematical Education Anxiety and Positive Suggestion Intervention on Children's Mathematics Achievement. [PDF]
Zhou D +6 more
europepmc +1 more source

