Results 61 to 70 of about 203,799 (303)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Research on 'Acosta' by Mae Wynne McFarland

open access: yes, 1936
Pages of research draft notes by Mae Wynne McFarland on the life of 'Portuguese nobleman', Uriel ...
McFarland, Mae Wynne
core  

Active Phase of Nickel Electrocatalysts Driving Alkaline Hydrogen Evolution

open access: yesAdvanced Materials, EarlyView.
Using depth‐resolved and operando spectroscopic measurements coupled with electrochemical mass spectrometry, the authors uncover the critical role of sub‐surface oxidised species in increasing the activity and durability of Ni‐based cathodes for hydrogen evolution.
Yifeng Wang   +17 more
wiley   +1 more source

Molecular data reveals a new holomorphic marine fungus, Halobyssothecium estuariae, and the asexual morph of Keissleriella phragmiticola

open access: yesMycology, 2020
This study introduces a novel holomorphic marine fungal species, Halobyssothecium estuariae (Lentitheciaceae, Pleosporales), from dead Phragmites communis. The new species has semi-immersed, subglobose or ellipsoidal, papillate, conical ascomata, clavate
Bandarupalli Devadatha   +4 more
doaj   +1 more source

Analog Tensor Processing With Carbon Nanotube In‐Memory Matrix Multiplications for Edge Computer Vision Acceleration

open access: yesAdvanced Materials, EarlyView.
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei   +11 more
wiley   +1 more source

Leveraging Data‐Driven and Fundamental Insights for Electrolyte Innovation in Lithium Metal Batteries

open access: yesAdvanced Materials, EarlyView.
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong   +6 more
wiley   +1 more source

Self-reinforced poly(lactic acid) nanocomposites with integrated bacterial cellulose and its surface modification

open access: yesNanocomposites, 2018
Bacterial cellulose (BC) nanofibers, with and without silane surface modification, were incorporated into self-reinforced poly(lactic acid) (SR-PLA) nanocomposites at 1 and 10 wt%.
Kedmanee Somord   +5 more
doaj   +1 more source

Emerging competition and risk-taking incentives at Fannie Mae and Freddie Mac [PDF]

open access: yes
This paper examines two major forces that may soon increase competition in the U.S. secondary conforming mortgage market: (1) the expansion of Federal Home Loan Bank mortgage purchase programs and (2) the adoption of revised risk-based capital ...
W. Scott Frame, Lawrence J. White
core  

Evolution of OLED Lamination Technology With Development of Display Form Factors

open access: yesAdvanced Materials Technologies, EarlyView.
This review evaluates the evolution of organic light‐emitting diode (OLED) lamination technologies alongside advancing display form factors. It contrasts optically clear adhesives and resins, highlighting uniformity control for rigid screens, bubble‐free optimization for bended architectures, and visible‐light curing for foldable layers.
Kwan‐Young Han, Ji‐Hoon Park
wiley   +1 more source

Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering

open access: yesAdvanced Materials Technologies, EarlyView.
Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy