Results 161 to 170 of about 198,586 (216)
Artificial intelligence for early sepsis detection and dynamic prognostication in onco-critical care. [PDF]
Sirohiya P +5 more
europepmc +1 more source
This work critically reviews MXenes as highly effective multifunctional nanomaterials for the adsorption of radio‐contaminants, demonstrating a remarkable adsorption capacity of up to 1376.75 mg/g and cyclic stability of 2–8 cycles, with complexation, electrostatic interactions, and the numerical strength of MXene active sites playing a key operational
Stephen Sunday Emmanuel +1 more
wiley +1 more source
Machine learning and deep learning-based prediction of hypertension and analysis of its major risk factors in Bangladesh. [PDF]
Chandra S +5 more
europepmc +1 more source
Surface segregation in quaternary Ag‐Au‐Pd‐Pt compositionally complex solid solutions is systematically mapped across 684 compositions by combining high‐throughput EDX and XPS characterization of co‐sputtered thin‐film libraries with large‐scale MD/MC atomistic simulations.
Ridha Zerdoumi +10 more
wiley +1 more source
Multi-Objective Optimization and Prediction of Mechanical Properties of Green Basalt Fiber-Reinforced Concrete Using Evolutionary ML Algorithms. [PDF]
Mamun AA +9 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
Machine learning-supported identification of necrosis in colorectal and pancreatic cancer spheroids. [PDF]
Lozano MM +2 more
europepmc +1 more source
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi +3 more
wiley +1 more source
The Applications of Machine Learning in Micro-Nano Materials Research: From High-Throughput Screening to Intelligent Design. [PDF]
Wu K, Sang Z, Zhang G, Pang H.
europepmc +1 more source
Advanced Manufacturing of Composite‐Based Systems for Energy Applications
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli +13 more
wiley +1 more source

