Results 71 to 80 of about 633,122 (260)

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

Trust in the Cloud

open access: yesInformation Security Technical Report, 2011
Cloud infrastructure is expected to be able to support Internet scale critical applications (e.g. hospital systems and smart grid systems). Critical infrastructure services and organizations alike will not outsource their critical applications to a public Cloud without strong assurances that their requirements will be enforced.
Imad M. Abbadi, Andrew P. Martin
openaire   +2 more sources

Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?

open access: yesAdvanced Materials, EarlyView.
The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley   +1 more source

Pulsed Laser‐Assisted Phase Engineering of Multimetallic Colloidal Nanocrystals With Complex Compositions

open access: yesAdvanced Materials, EarlyView.
The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela   +4 more
wiley   +1 more source

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

open access: yesAdvanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald   +7 more
wiley   +1 more source

What is Hidden Within the Cloud?

open access: yes
Over the past few years cloud computing has become one of the most significant technological trends. The aim of this paper is to discuss the main characteristics of cloud computing, identify the challenges concerning the security and control of ...
Gkritsi, Aikaterini
core   +1 more source

Selective Laser Sintering and Graphitization for Mono‐Matrix Unibody Fabrication of Integrated Stereo‐Circuit and Stereo‐Fluidic Wearable Electronics

open access: yesAdvanced Materials, EarlyView.
A novel selective laser sintering and graphitization (SLSG) 3D printing technology enables unibody fabrication of compacted insulating structures and conductive circuits in fluidic‐integrated wearable electronics through adaptive photonic modulation.
Li Zhang, Wing Cheung Mak
wiley   +1 more source

Increasing Lipid Nanoparticle mRNA Copy Number Improves Transfection Potency

open access: yesAdvanced Materials, EarlyView.
As lipid nanoparticle (LNP) systems are the leading platform for in vivo nucleic acid delivery, improving transfection potency of these systems is of considerable interest. In this work, we explored a post‐mixing formulation method involving a two‐step buffer exchange that increased the number of mRNA copies within each LNP while reducing the number of
Yao Zhang   +12 more
wiley   +1 more source

The Repository @ St. Cloud State Statistic Insert [2021] [PDF]

open access: yes, 2021
2021 handout highlighting statistics from The Repository @ St.
St. Cloud State University
core  

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

open access: yesAdvanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng   +24 more
wiley   +1 more source

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