Results 261 to 270 of about 361,179 (336)

A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?

Advanced Engineering Materials, EarlyView.
Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli, Manel Rodríguez Ripoll, Sabine Schwarz, Ali Erdemir, Maria Clelia Righi, Carsten Gachot   +5 more
wiley   +1 more source

Models of receptive-field dynamics in visual cortex

, 1999
GEORGE KALARICKAL, JONATHAN MARSHALL
openalex   +2 more sources

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Center surround receptive field structure of cone bipolar cells in primate retina

, 2000
Dennis M. Dacey, Orin Packer, Lisa C. Diller, David H. Brainard, Beth Peterson, Barry Lee   +5 more
openalex   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Expansive Receptive Field and Local Feature Extraction Network: Advancing Multiscale Feature Fusion for Breast Fibroadenoma Segmentation in Sonography. [PDF]

J Imaging Inform Med
Guo Y, Zhou Y.
europepmc   +1 more source

Deriving behavioural receptive fields for visually completed contours

, 2000
Jason M. Gold, Richard Murray, Patrick J Bennett, A B Sekuler   +3 more
openalex   +1 more source

3D‐Printed Architected Material for the Generation of Foam‐Based Protective Equipment

Advanced Engineering Materials, EarlyView.
This study investigates 3D‐printed architected structures as alternatives to traditional foams in protective gear. It focuses on customizing impact strength and damping through design and manufacturing integration. Testing shows these structures outperform conventional foams, offering enhanced customizability, lower weight, and tunable performance ...
Ali Zolfagharian, Gerard Bel Català, Daniel Saakes, Bernard Rolfe, Ian Gibson, Mehrshad Mehrpouya   +5 more
wiley   +1 more source

Synaptic Origins of the Complex Receptive Field Structure in Primate Smooth Monostratified Retinal Ganglion Cells. [PDF]

eNeuro
Patterson SS, Girresch RJ, Mazzaferri MA, Bordt AS, Piñon-Teal WL, Jesse BD, Perera DW, Schlepphorst MA, Kuchenbecker JA, Chuang AZ, Neitz J, Marshak DW, Ogilvie JM.   +12 more
europepmc   +1 more source