Results 131 to 140 of about 572,242 (262)

Molecular Dynamics Studies of Shape Memory Polymers: From Bead–Spring Models to Atomistic Simulations

Advanced Engineering Materials, EarlyView.
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley   +1 more source

Socio-Cultural Influences on Situated Cognition in Nature

Frontiers in Psychology, 2019
Theresa Schilhab, Gertrud Lynge Esbensen
doaj   +1 more source

LCAMNet: a lightweight model for apple leaf disease classification in natural environments. [PDF]

Front Plant Sci
Jiao Y, Li H, Fu X, Wang B, Hu K, Zhou S, Han D.   +6 more
europepmc   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Acquisition of Spacers from Foreign Prokaryotic Genomes by CRISPR-Cas Systems in Natural Environments. [PDF]

Genome Biol Evol
Sures K, Esser SP, Bornemann TLV, Moore CJ, Soares AR, Plewka J, Figueroa-Gonzalez PA, Ruff SE, Moraru C, Probst AJ.   +9 more
europepmc   +1 more source

The influence of natural environments on creativity. [PDF]

Front Psychiatry, 2022
Yeh CW, Hung SH, Chang CY.
europepmc   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Exploring the Restorative Effects of Natural Environments in Virtual Reality. [PDF]

Int J Environ Res Public Health
Marocco S, Vitale V, Grossi E, Presaghi F, Bonaiuto M, Talamo A.   +5 more
europepmc   +1 more source

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

The potential of virtual natural environments: a critical analysis of a VR-based mindfulness approach. [PDF]

Front Psychol
Marocco S, Vitale V, Grossi E, Presaghi F, Talamo A.   +4 more
europepmc   +1 more source