Results 201 to 210 of about 105,086 (297)

A telemetry dataset on resource utilisation and power consumption in the edge-cloud continuum. [PDF]

Data Brief
Kapetanidou IA, Kotsiopoulos T, Thanasoulis G, Bizopoulos P, Liatifis A, Skoularikis M, Nizamis A, Sarigiannidis P, Votis K.   +8 more
europepmc   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Intelligent high-throughput recognition model for bitter gourd fruit morphology and tubercle characteristics. [PDF]

Sci Rep
Liu S, Cai Y, Xu H, Deng Y, Zhong X, Tian J, Bai F, Lu J, Lin Z, Zhang F, Ruan M, Li H, Huang Z, Zhu C, Zhong F.   +14 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Measurement-induced phase transitions in informational active matter. [PDF]

PNAS Nexus
VanSaders B, Fruchart M, Vitelli V.
europepmc   +1 more source

Emergent Spin‐Glass Behavior in an Iron(II)‐Based Metal–Organic Framework Glass

Advanced Functional Materials, EarlyView.
A one‐pot, solvent‐free synthesis yields an Fe2+‐based metal‐organic framework (MOF) glass featuring a continuous random network structure. The material exhibits spin‐glass freezing at 14 K, driven by topological‐disorder and short‐range magnetic frustration, showcasing the potential of MOF glasses as a plattform for cooperative magnetic phenomena in ...
Chinmoy Das, Soma Salamon, Joachim Landers, Jan‐Benedikt Weiß, Wen‐Long Xue, Pascal Kolodzeiski, Roman Pallach, Heiko Wende, Sebastian Henke   +8 more
wiley   +1 more source

Microfinance institutions failure prediction in emerging countries, a machine learning approach. [PDF]

PLoS One
Garcia-Lopez YJ, Marquez PH, Morales NN.
europepmc   +1 more source

Granular Representation and Granular Computing with Fuzzy Sets

Granular Representation and Granular Computing with Fuzzy Sets
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Understanding and Tuning Mobile Interfaces in Ferroelectric Hf0.5Zr0.5O2 Thin Films in Relation to Microstructure

Advanced Functional Materials, EarlyView.
Ferroelectricity in thin HfO2‐based films offers great possibilities for next‐generation neuromorphic memory devices. There, the response to subcoercive voltage signals is driven by the movement of mobile interfaces and their interaction with crystal defects – a yet rather unexplored aspect, which we shed light on and gain new insights into the complex
Maximilian T. Becker, Yoonsang Park, Kihong Kim, Ji Soo Kim, Nives Strkalj, Atif Jan, Giuliana Di Martino, Benson K. Tsai, Haiyan Wang, Ping Lu, Duk‐Hyun Choe, Judith L. MacManus‐Driscoll   +11 more
wiley   +1 more source

A Theoretical Study on Friction of Macroscale Patterned Surfaces: Implications for Scaling Up Superlubricity. [PDF]

ACS Appl Mater Interfaces
Ho VH, Gianetti MM, Uluca A, Sinnott AD, Haugen B, Cross GLW, de Wijn AS.   +6 more
europepmc   +1 more source