Results 101 to 110 of about 880,220 (321)
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Machine Learning‐Based Failure Prediction in Concrete Slabs and Cubes Under Impact Loading
Experts have been interested in the behavior of concrete under impact loading because of its wide range of applications in construction projects. Due to their quasi‐brittle nature, failure modes related to concrete may occur without any prior warning ...
Mohammad Hematibahar +3 more
doaj +1 more source
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
PYTHON IMPLEMENTATION OF VISUAL SECRET SHARING SCHEMES [PDF]
Visual secret sharing schemes (VSS) represent an important concept of visual cryptography. They permit the sharing of a secret image between multiple participants so that only authorized groups can recover the secret.
Ruxandra Olimid
core
Screen‐Printed Flexible Piezoelectric Force Sensor Array with Electromagnetic Interference Shielding
This article introduces a flexible screen‐printed piezoelectric sensor array designed for low‐frequency healthcare applications such as tactile sensing and cardiovascular monitoring. The device integrates interface electronics enabling the simultaneous acquisition of up to 128 signals, along with flexible EMI shielding that significantly reduces noise ...
Joseph Faudou +6 more
wiley +1 more source
PCSIM: a parallel simulation environment for neural circuits fully integrated with Python
The Parallel Circuit SIMulator (PCSIM) is a software package for simulation of neural circuits. It is primarily designed for distributed simulation of large scale networks of spiking point neurons. Although its computational core is written in C++, PCSIM'
Dejan Pecevski +2 more
doaj +1 more source
batman: BAsic Transit Model cAlculatioN in Python [PDF]
Laura Kreidberg
openalex +1 more source
Photoswitchable Conductive Metal–Organic Frameworks
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu +5 more
wiley +1 more source
CoClust: A Python Package for Co-Clustering
Co-clustering (also known as biclustering), is an important extension of cluster analysis since it allows to simultaneously group objects and features in a matrix, resulting in row and column clusters that are both more accurate and easier to interpret ...
François Role +2 more
doaj +1 more source
PyR@TE 2: A Python tool for computing RGEs at two-loop [PDF]
F. Lyonnet, I. Schienbein
openalex +1 more source

