Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Low-kVp techniques for radiation dose optimization in abdominopelvic contrast-enhanced CT: a scoping review. [PDF]
Panakkal NC +5 more
europepmc +1 more source
Sustainable and Multifunctional Natural Macromolecular Polymers for Aqueous Zn Metal Batteries
We comprehensively review the structure‐function relationships and regulatory mechanism of natural macromolecular polymers in stabilizing zinc anodes at the microscopic and mesoscopic scales. The interactions among polymer structures, optimization strategies, and regulatory mechanisms are discussed systematically summarizing recent related research ...
Yunuo Shi +13 more
wiley +1 more source
Task-based evaluation of axial and multiplanar reconstructions in computed tomography: A volumetric analysis of spatial resolution, noise, and detectability. [PDF]
Monnin P, Viry A, Becce F, Racine D.
europepmc +1 more source
A Deep Nonlinear Subspace Modeling and Reconstruction for Diffusion-Weighted Imaging Using Denoising Auto-Encoder. [PDF]
Glaser J +4 more
europepmc +1 more source
Unsupervised deep learning for inverse problems in computed tomography. [PDF]
Hellwege L +4 more
europepmc +1 more source
3D laparoscopic neourethral reconstruction for iatrogenic complete loss of urethra: a case report and narrative review. [PDF]
Bretherton LE +3 more
europepmc +1 more source
Optimization of image quality and radiation dose in low-dose pediatric chest CT Using 80 kVp acquisition and variable ASiR-V reconstruction: A retrospective comparative study. [PDF]
Li Y, He P, Ma J, Wu N, Wang X, Zhang J.
europepmc +1 more source

