Results 71 to 80 of about 91,248 (260)

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

KEPT: Knowledge-enhanced prediction of trajectories from consecutive driving frames with vision-language models

Communications in Transportation Research
Accurate short-horizon trajectory prediction is crucial for safe and reliable autonomous driving. However, existing vision language models (VLMs) often fail to accurately understand driving scenes and generate trustworthy trajectories.
Yujin Wang, Tianyi Wang, Quanfeng Liu, Wenxian Fan, Junfeng Jiao, Christian Claudel, Yunbing Yan, Bingzhao Gao, Jianqiang Wang, Hong Chen   +9 more
doaj   +1 more source

Tracking Federated Queries in the Linked Data [PDF]

, 2015
Federated query engines allow data consumers to execute queries over the federation of Linked Data (LD). However, as federated queries are decomposed into potentially thousands of subqueries distributed among SPARQL endpoints, data providers do not know ...
Desmontils, Emmanuel, Molli, Pascal, Nassopoulos, Georges, Serrano-Alvarado, Patricia   +3 more
core   +2 more sources

Turning Unpredictable Biomolecule Adsorption to Controlled Corona Formation: Focus on Carbon Nanomaterials

Advanced Materials, EarlyView.
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou, Yalei Hu, Jie Yu, Naoki Komatsu, Yuta Nishina, Alberto Bianco   +5 more
wiley   +1 more source

Adversarial Sets for Regularising Neural Link Predictors [PDF]

, 2017
In adversarial training, a set of models learn together by pursuing competing goals, usually defined on single data instances. However, in relational learning and other non-i.i.d domains, goals can also be defined over sets of instances.
Demeester, Thomas, Minervini, Pasquale, Riedel, Sebastian, Rocktäschel, Tim   +3 more
core   +2 more sources

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

Advanced 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, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

River basin planning project: social learning (Science Report SC050037/SR1) [PDF]

, 2005
This report documents the findings of a 12-month Environment Agency science project on social learning for river basin planning. Our aim was to use social learning approaches and soft system methods to inform the development of the River Basin Planning ...
Blackmore, Chris, Collins, Kevin, Ison, Ray   +2 more
core  

Learning Character Strings via Mastermind Queries, with a Case Study Involving mtDNA

, 2010
We study the degree to which a character string, $Q$, leaks details about itself any time it engages in comparison protocols with a strings provided by a querier, Bob, even if those protocols are cryptographically guaranteed to produce no additional ...
Goodrich, Michael T.
core   +1 more source

Cell Adhesion by Design: Engineering Tissue Culture Scaffolds With Adhesion Cues

Advanced Materials Interfaces, EarlyView.
ABSTRACT In scaffold‐based tissue engineering, the matrix should provide adequate adhesion cues for cell attachment, spreading, and function. Given the multitude of adhesion receptors and the diversity of scaffolds, there are many approaches to render scaffolds adhesive, even though they are not all equivalent.
Dalia Dranseike, Dhananjay V. Deshmukh, Mark W. Tibbitt, Céline Labouesse   +3 more
wiley   +1 more source

On-Orbit Life Prediction and Analysis of Triple-Junction Gallium Arsenide Solar Arrays for MEO Satellites

Aerospace
This paper focuses on the triple-junction gallium arsenide solar array of a MEO (Medium Earth Orbit) satellite that has been in orbit for 7 years. Through a combination of theoretical and data-driven methods, it conducts research on anti-radiation design
Huan Liu, Chenjie Kong, Yuan Shen, Baojun Lin, Xueliang Wang, Qiang Zhang   +5 more
doaj   +1 more source