Results 191 to 200 of about 4,168,091 (340)

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

An open source platform to automate the design, verification, and manufacture of 3D printed microfluidic devices. [PDF]

Sci Rep
Goenner B, Temple S, Zapata S, Wakeham D, Snelgrove A, Gaillardon PE, Nordin GP, Gale BK.   +7 more
europepmc   +1 more source

The American Public Library and the Diffusion of Knowledge. [PDF]

, 1924
William S. Learned
openalex   +1 more source

MDTraj: a modern, open library for the analysis of molecular dynamics trajectories

bioRxiv, 2014
R. McGibbon, Kyle A. Beauchamp, Christian Schwantes, Lee‐Ping Wang, Carlos X. Hernández, Matthew P. Herrigan, T. Lane, Jason M. Swails, V. Pande   +8 more
semanticscholar   +1 more source

Novel Surface‐Based Bézier Metamaterials: A Higher Degree of Parametrization toward Tailoring the Effective Properties under Compression

Advanced Engineering Materials, EarlyView.
Cubic Bézier curves are used in the synthesis of novel surface‐based metamaterials with tunable mechanical properties. Surface‐based geometries are 3D printed and tested in compression. The resulting mechanical properties are correlated to changes in the shape of the base curve, with high potential in energy absorption through the adjustment of their ...
Alberto Álvarez‐Trejo, Enrique Cuan‐Urquizo, Armando Roman‐Flores   +2 more
wiley   +1 more source

SMART-RNA-Metavirome: a practical RNA metavirome platform compatible with high-throughput sequencing of both short and long reads. [PDF]

Infect Dis Poverty
Liu X, Li Z, Guo X, Ge L, Hu M, He Q, Zhang X, Feng Z, Wang Y, Zhao L, Zeng S, Ren W, Chen H, Wang C, Wu R, Zhao W, Zhang F, Chen XG, Zhou X.   +18 more
europepmc   +1 more source

Direct Electron Detection Electron Energy‐Loss Spectroscopy: Speeding Up 2D Analytical In Situ Transmission Electron Microscopy for Aluminum Alloys

Advanced Engineering Materials, EarlyView.
Scanning transmission electron microscopy imaging techniques are an essential tool to document dynamic developments, such as precipitation in aluminum alloys, during in situ heating experiments using transmission electron microscopy. However, in many cases, chemical information is required to interpret complex nanoscale processes.
Evelin Fisslthaler, Martina Dienstleder, Judith Lammer, Moritz Theissing, Daniel Knez   +4 more
wiley   +1 more source

Advancements in research leveraging phage display technology for gastric cancer diagnosis and treatment. [PDF]

Front Microbiol
Wang Z, Li Y, Lin J, Deng F, Liu Y, Ji Y.   +5 more
europepmc   +1 more source

Libraries in an Inflationary Cycle

, 1951
Ralph H. Parker
openalex   +2 more sources

The Effect of Thickness, Build Orientation, and Loading Rate on the Tensile and Compressive Properties of Selective Laser Sintering Polyamide 12 Specimens

Advanced Engineering Materials, EarlyView.
This article examines how build orientation, thickness, and loading rate affect the tensile and compressive properties of LS‐manufactured polyamide 12 12 parts. Through over 120 experiments, it reveals strong ductility anisotropy in tension, minimal compressive sensitivity, and significant thickness and strain rate dependencies.
Andreas Psarros, Grigorios Paraskevopoulos, Georgios Savaidis   +2 more
wiley   +1 more source