Results 191 to 200 of about 676,044 (284)
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao+5 more
wiley +1 more source
Deep Learning-Based Estimation of Myocardial Material Parameters from Cardiac MRI. [PDF]
Chen Y, Zhang X, Huo Y, Wang S.
europepmc +1 more source
HKUST‐1/TiO2 composite materials show a very high photocatalytic hydrogen evolution rate which increases as a function of the irradiation time until reaching a plateau and even surpasses the performance of the 1%Pt/TiO2 material after three photocatalytic cycles.
Alisha Khan+9 more
wiley +1 more source
Integrating finite element analysis and physics-informed neural networks for biomechanical modeling of the human lumbar spine. [PDF]
Ahmadi M+8 more
europepmc +1 more source
Superionic Disulfonic Acid Polymers
A strategy is presented to enhance the mechanical and ion transport properties of acid‐functionalized polymers through controlled polymerizations of precisely designed disulfonic acid monomers with well‐defined functional group arrangements. This approach allows for fine control over molecular interactions, and unexpected hydrophobic characteristics ...
Xuelang Gao+5 more
wiley +1 more source
Pediatric Cardiovascular Multiscale Modeling using a Functional Mock-up Interface. [PDF]
Garven EE+3 more
europepmc +1 more source
High Thermoelectric Performance in Low‐Cost Cu8SiSxSe6‐x Argyrodite
This study discovers the great potential of Cu8SiSxSe6‐x argyrodites as new, low‐cost, Te‐free thermoelectric materials. The proposed defect scheme suppresses the phase transition, enhances the weighted mobility and optimizes the grain boundary contacts.
Taras Parashchuk+7 more
wiley +1 more source
Neural networks for structured grid generation. [PDF]
Khairullin B, Rykovanov S, Zagidullin R.
europepmc +1 more source
This study presents a novel donor‐bridge‐acceptor‐bridge‐donor (D‐B‐A‐B‐D) molecular system, which shows near‐unity intramolecular excitation energy transfer (IET) from two identical energy donors to a coplanar acceptor. It enables a four‐level energy system for efficient lasing at the acceptor emission band in a microspherical cavity with a low lasing
Vishal Kumar+6 more
wiley +1 more source