Results 171 to 180 of about 6,504,899 (285)
A CSI Approach Incorporating Recursive Eigenfunction Expansion for Efficient Microwave Imaging of Objects Embedded in Arbitrarily Shaped Multilayer Cylinders. [PDF]
Aslanyürek B, Gürbüz TU.
europepmc +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Efficient Automatic Design of a 2D TMD FET via Machine Learning-Assisted TCAD Simulation. [PDF]
Shi N, Wei ZJ, Wu T.
europepmc +1 more source
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi +6 more
wiley +1 more source
A Numerical Study of Cross-Weld Virtual-Array Coda-Wave Tomography for Volumetric Imaging of Weld Defects in Steel Plates. [PDF]
Chen G, Li Y, Song S, Wang H, Zhang S.
europepmc +1 more source
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley +1 more source
Shape modes of C P 1 vortices. [PDF]
Gavrea N, Harland D, Speight M.
europepmc +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source
A Generalized Automated Framework for Thermal Characterization: From Bulk Materials to Complex Heterostructures. [PDF]
Tenaguillo MÁ +4 more
europepmc +1 more source

