Results 121 to 130 of about 18,202 (289)

Designing green artificial intelligence (Green AI) models for finance: a novel approach for sustainable and responsible adoption

Financial Innovation
The increasing adoption of Artificial Intelligence (AI) in finance raises growing concerns about its environmental footprint, particularly energy consumption and carbon emissions.
Ismail Elbouknify, Marcos R. Machado, Maria Iannario   +2 more
doaj   +1 more source

Foreword: special issue on computational finance and economics. [PDF]

Evol Intell, 2016
Brabazon A, Kampouridis M.
europepmc   +1 more source

COFs on MOFs: Layer‐by‐Layer Synthesis of MOF@COF Nanoparticles with Synergistic Adsorption

Advanced Materials, EarlyView.
A layer‐by‐layer strategy enables the growth of crystalline covalent organic framework (COF) shells on metal–organic framework nanoparticles, creating core–shell structures with tunable porosity. Ordered interstitial mesopores are formed during shell growth, which are connected with the COF's intrinsic micropores, thereby enhancing water sorption. This
Ana Guillem‐Navajas, Lucía Torrico‐García‐Viso, Jose Antonio Suárez del Pino, Nekane Aramburu‐Merino, Pilar Segovia, Enrique G. Michel, Josep Puigmartí‐Luis, Enrique Velasco, Pedro Tarazona, Daniel Maspoch, David Rodríguez‐San‐Miguel, Félix Zamora   +11 more
wiley   +1 more source

RISK IN FINANCIAL DECISION-MAKING: A CONCEPTUAL FRAMEWORK FOR INVESTORS AND CORPORATE MANAGERS

Agora International Journal of Economical Sciences
This paper explores the multifaceted nature of risk in financial decision-making by integrating traditional finance models with insights from behavioural finance.
Kateryna Hrytsiv, Jekaterina Kartašova
doaj   +1 more source

Eutectozymes as Soft Hybrid Materials for Advanced Biocatalysis

Advanced Materials, EarlyView.
Eutectozymes are sustainable hybrid materials that embed a GOx–HRP cascade within hydrophobic eutectogels featuring a dual supramolecular–covalent network. This architecture preserves native enzyme structure and stability, enables efficient heterogeneous biocatalysis in aqueous media, and positions eutectogels as robust platforms for next‐generation ...
Manuel Eduardo Martinez Cartagena, Lucia Suarez, Aitor Ontoria, Francisca J. Benitez, Elixabete Rezabal, María Soledad Orellano, Marcelo Calderón, Cristián Huck‐Iriart, Agustin S. Picco, Matias L. Picchio, Ana Beloqui   +10 more
wiley   +1 more source

Copulas in finance and insurance [PDF]

Copulas provide a potential useful modeling tool to represent the dependence structure among variables and to generate joint distributions by combining given marginal distributions. Simulations play a relevant role in finance and insurance. They are used
Elisa M. Molanes, Rosario Romera
core  

One‐Dimensional Materials Supported in Two‐Dimensional Van der Waals Metal–Organic Frameworks with Optical Anisotropy Switching via Twist‐Engineering

Advanced Materials, EarlyView.
We introduce a molecular strategy to assemble one‐dimensional (1D) materials into two‐dimensional (2D) van der Waals metal–organic frameworks (MOFs). Crystals of [FeX(pzX)(bpy)] (X = Cl, F) form anisotropic 2D layers that can be mechanically exfoliated into thin sheets.
Eleni C. Mazarakioti, Carla Boix‐Constant, Iván Gómez‐Muñoz, Diego López‐Alcalá, Sergio Revuelta, Marco Ballabio, Vasileios Balos, José J. Baldoví, Enrique Cánovas, Josep Canet‐Ferrer, Guillermo Mínguez Espallargas, Samuel Mañas‐Valero, Eugenio Coronado   +12 more
wiley   +1 more source

Implicit voice learning through discrimination outperforms explicit listen-and-memorize tasks

Scientific Reports
Voice learning primarily occurs implicitly in everyday situations—as an incidental by-product of other activities such as participating in conversation or listening to voices in the media.
Andrea Fröhlich, Meike Ramon, Peter French, Volker Dellwo   +3 more
doaj   +1 more source

Quasi-Monte Carlo for finance applications.

, 2008
Monte Carlo methods are used extensively in computational finance to estimate the price of financial derivative options. We review the use of quasi-Monte Carlo methods to obtain the same accuracy at a much lower computational cost, and focus on three key
Waterhouse, Benjamin J, Kuo, FY, Sloan, I. H., Waterhouse, B. J., Giles, MB, Kuo, Frances Y, Giles, Michael B., Waterhouse, BJ, Giles, Mike, Sloan, Ian H, Sloan, IH, Kuo, F. Y.   +11 more
core  

Lattice‐Matched 2D Template Enables Efficient Cesium Tin Halide Perovskite Solar Cells

Advanced Materials, EarlyView.
Lattice‐matched 2D perovskite PEA2CsSn2I7 templates the out‐of‐plane growth of inorganic 3D γ‐CsSnI3 along the (110) plane, forming highly oriented 2D/3D tin halide perovskite heterostructures. With reduced trap states and mitigated δ‐phase impurities, the CsSnI3‐based solar cells achieve a power conversion efficiency of 15.27% and maintain stable ...
Hongzhe Anna Xu, Dongxu He, Wencai Zhou, Julian A. Steele, Zhiliang Wang, Zitong Wang, Chengxi Zhang, Shanshan Ding, Bowei Zhang, Huiyuan Cheng, Mengmeng Hao, Jiangyu Hang, Can Zheng, Zilong Zheng, Peng Chen, Lianzhou Wang   +15 more
wiley   +1 more source