Results 71 to 80 of about 240,707 (227)
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Assessing the Ecological Value: Monetizing Process Innovations in Tailored Forming
This article introduces a method for evaluating the sustainability of innovations, even with limited data. The method is illustrated through an analysis of the “Tailored Forming” technology, which explores the impact of sustainability on economic value added.
Jonas Schneider+4 more
wiley +1 more source
Smooth Curve from noisy 2-Dimensional Dataset
In this paper we will be represent the transformation of a noisy dataset into a regular and smooth curve. We performed torsion test on 15Cr 15Ni Titanium modified austenitic stainless steel up to its rupture. We did it these torsion tests multiple strain rates varying from 0.001 to 25 per Sec and obtained huge number of data points has been obtained ...
Mahata, Avik Kumar+4 more
openaire +2 more sources
An electronic system is presented consisting of a silver thin‐film electrode on a polyimide substrate working both as a heating element and a resistive temperature sensor, generating millisecond heat pulses with very fast heating and cooling rates and a flat peak temperature with a tunable duration.
Bahman K. Boroujeni+5 more
wiley +1 more source
The fabrication and post‐treatment via solvent annealing of poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate‐based electrodes using spray deposition in a roll‐to‐roll setup are presented. The decrease in sheet resistance and its correlation with nanostructure and molecular structure in the electrodes as a function of the processing parameters is ...
Marie Betker+10 more
wiley +1 more source
Enhanced Fog Water Harvesting on Superhydrophobic Steel Meshes
Fog harvesting using mesh designs offers a sustainable solution to water scarcity. This study highlights key considerations for fog harvesting research and develops a methodology for a standardized protocol reflecting fog characteristics and environmental conditions.
Pegah Sartipizadeh+3 more
wiley +1 more source
Using the generalized Radon transform for detection of curves in noisy images [PDF]
In this paper the discrete generalized Radon transform will be investigated as a tool for detection of curves in noisy digital images. The discrete generalized Radon transform maps an image into a parameter domain, where curves following a specific parameterized curve form will correspond to a peak in the parameter domain.
openaire +2 more sources
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
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+4 more
wiley +1 more source
A Multi-Agent Systems Approach to Microeconomic Foundations of Macro [PDF]
This paper is part of a broader project that attempts to gener- ate microfoundations for macroeconomics as an emergent property of complex systems. The multi-agents systems approach is seen to produce realistic macro properties from a primitive set of ...
Bill Gibson
core
This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley +1 more source