Results 91 to 100 of about 12,230 (257)

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Randomized block quasi-Monte Carlo sampling for generalized likelihood uncertainty estimation

Hydrology Research
Although hydrological model forecasts aid water management decisions, they normally have predictive uncertainties. Generalized likelihood uncertainty estimation (GLUE) is popular for constructing predictive uncertainty bounds (PUBs).
Charles Onyutha
doaj   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

Advanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad, Solomon Amsalu Chekol, Julius Rasbach, Susanne Hoffmann‐Eifert, Stephan Menzel   +4 more
wiley   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

Derivative-Variance Hybrid Global Sensitivity Measure with Optimal Sampling Method Selection

Mathematics
This paper proposes a derivative-variance hybrid global sensitivity measure with optimal sampling method selection. The proposed sensitivity measure is as computationally efficient as the derivative-based global sensitivity measure, which also serves as ...
Jiacheng Liu, Haiyun Liu, Cong Zhang, Jiyin Cao, Aibo Xu, Jiwei Hu   +5 more
doaj   +1 more source

Single Event Effect cross section calibration and application to quasi-monoenergetic and spallation facilities

EPJ Nuclear Sciences & Technologies, 2018
We describe an approach to calibrate Single Event Effect (SEE)-based detectors in monoenergetic fields and apply the resulting semi-empiric responses to more general mixed-field cases in which a broad variety of particle species and energy spectra are ...
Alía Rubén García, Bonaldo Stefano, Brugger Markus, Danzeca Salvatore, Ferrari Alfredo, Frost Christopher, Infantino Angelo, Iwamoto Yosuke, Mekki Julien, Theis Cris, Thornton Adam   +10 more
doaj   +1 more source

Whose Sustainability Counts? Board Governance, ESG Ratings, and Sustainable Development Goals: Evidence on the ESG–SDG Wedge

Business Strategy and the Environment, EarlyView.
ABSTRACT Institutional investors increasingly rely on ESG ratings to evaluate financially material sustainability risks, while governments promote corporate alignment with the United Nations Sustainable Development Goals (SDGs). Because these frameworks differ substantially in capital market salience and monitoring intensity, board oversight may not ...
Mohamed Hegazy, Diego Prior, Mahmoud Zarea   +2 more
wiley   +1 more source

Quasi-Monte Carlo Methods in Python

Journal of Open Source Software, 2023
Pamphile T. Roy, Art B. Owen, Maximilian Balandat, Matt Haberland   +3 more
openaire   +1 more source

Strategic Implications of Mandatory ESG Assurance and Its Impact on Competitive Advantage: Evidence From European Market Reactions

Business Strategy and the Environment, EarlyView.
ABSTRACT The EU has recently introduced, for the first time, a market‐wide mandatory assurance requirement for sustainability reporting under the Corporate Sustainability Reporting Directive (CSRD). The directive mandates that affected firms obtain independent third‐party assurance for their ESG reports. This study examines the equity market's reaction
Zelalem Abay
wiley   +1 more source