Results 171 to 180 of about 636 (237)
Cancer Microenvironment: What Can We Learn from the Stem Cell Niche. [PDF]
Lacina L +6 more
europepmc +1 more source
ABSTRACT Nanoporous gold, with its hierarchical structure comprising interconnected networks on multiple length scales, poses significant computational challenges for traditional modeling methods. To solve this challenge, this study introduces a physics‐informed recurrent neural network (RNN) to model the homogenized material response of a diamond beam‐
Lena Dyckhoff, Norbert Huber
wiley +1 more source
Neural Network-Based Mammography Analysis: Augmentation Techniques for Enhanced Cancer Diagnosis-A Review. [PDF]
Blahová L, Kostolný J, Cimrák I.
europepmc +1 more source
MATE: Machine Learning for Adaptive Calibration Template Detection. [PDF]
Donné S +3 more
europepmc +1 more source
Emerging MBenes for Energy Technologies
ABSTRACT The escalating global demand for sustainable energy is driving the search for transformative materials that transcend the limitations of conventional systems. Two‐dimensional (2D) transition metal borides (MBenes) have recently emerged as a compelling class, distinguished by unique electronic structures, tunable surface chemistry, and ...
Yingrui Ding +5 more
wiley +1 more source
This review critically compares the electrochemical performance of carbon‐based and alloy‐type anodes for sodium‐ion batteries, with an emphasis on strategies that enhance practical deployment. It highlights how synergistic optimization of microstructure, electrolyte, and presodiation improves hard carbon, while nanostructuring and interfacial ...
Anele Tshaka +3 more
wiley +1 more source
Dimensionality‐Driven Emerging Phenomena in Hybrid Metal Halides
Emergent Phenomena Governed by Octahedral Connectivity and Dimensionality. Hybrid metal halides are unique among semiconductors in that their inorganic octahedral networks can be rationally assembled in 3D, 2D, 1D, and 0D forms, enabling dimensionality to assist as a powerful control knob over structure, electronic properties, excitations, and ...
José R. Franca +5 more
wiley +1 more source
Accurate simulations of magnetic excitations in the neutron simulation package McStas
We present an accurate algorithm for simulating neutron scattering from spin waves in the ray‐tracing package McStas.An algorithm for the accurate simulation of neutron scattering from magnetic excitations has been developed and implemented as new component for the neutron ray‐tracing software McStas.
Silas B. Schack +3 more
wiley +1 more source
GenL: an extensible fitting program for Laue oscillations and whole‐pattern fitting
We present GenL, a flexible program utilizing differential evolution within a genetic algorithm that can be used to simulate and/or fit X‐ray diffraction data from epitaxial thin films exhibiting Laue oscillations.GenL is a flexible program that can be used to simulate and/or fit X‐ray reflectivity and X‐ray diffraction data from epitaxial thin films ...
Anna L. Ravensburg +3 more
wiley +1 more source

