Results 201 to 210 of about 39,296 (257)
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Directionality theory and the origin of life. [PDF]
Demetrius LA.
europepmc +1 more source
From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku +5 more
wiley +1 more source
This study introduces a multidimensional framework integrating electrical performance, cost, and life cycle assessment for 140 real and virtual battery cells. Results show that LFP offers low emissions and costs, sodium‐ion excels in resource efficiency, and pouch housings and higher energy densities effectively reduce environmental burdens.
Nicolas Peter Kaiser +7 more
wiley +1 more source
This study explores Cs2PtX6 (X = Cl, Br) lead‐free perovskites as sustainable photocatalysts for solar‐driven water splitting. Cs2PtBr6 outperforms Cs2PtCl6 in oxygen evolution due to its narrower bandgap and efficient charge carrier dynamics, enabling enhanced light absorption and charge separation.
Kevin Mego +3 more
wiley +1 more source
This graphical abstract emphasizes the working principle and the various essential factors of the direct methanol fuel cell (DMFCs). Additionally, various parameters, such as the nanoparticle's size and shape, the nature of the electrolyte, the type of support materials, and their fabrication process, also play essential roles in the functioning of the
Kirti Mishra +3 more
wiley +1 more source
The growth rate of multicolor Ramsey numbers of 3-graphs. [PDF]
Bradač D, Fox J, Sudakov B.
europepmc +1 more source
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said +2 more
wiley +1 more source

