Results 121 to 130 of about 84,600 (310)
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Neural Network Based Models for Efficiency Frontier Analysis: An Application to East Asian Economies' Growth Decomposition [PDF]
There has been a long tradition in business and economics to use frontier analysis to assess a production unit’s performance. The first attempt utilized the data envelopment analysis (DEA) which is based on a piecewise linear and mathematical programming
Bin Wang, Hailin Liao, Tom Weyman-Jones
core
Advanced Intelligent Discovery, EarlyView.Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
The Efficiency of German Universities Some Evidence from Non-Parametric and Parametric Methods [PDF]
Due to tight public budget constraints, the efficiency of publicly financed universities in Germany is receiving increasing attention in the academic as well as in the public discourse.
Kempkes, Gerhard, Pohl, Carsten
core
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Advanced Intelligent Discovery, EarlyView.Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Efficiency of Commercial Banks in Sub-Saharan Africa: A Comparative Analysis of Domestic and Foreign Banks [PDF]
Utilizing the stochastic frontier approach, this study conducts a comparative analysis of profit efficiency and cost inefficiency of commercial banks operating in 29 sub-Saharan African (SSA) countries by bank ownership (domestic bank, SSA foreign bank ...
Kiyota, Hiroyuki
core
Robustness in Stochastic Frontier Analysis
, 2023 Stead, A, Wheat, P, Greene, WH
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Angewandte Chemie, EarlyView.Photoexcitation of an intramolecular charge‐transfer molecule doped into single crystals of a structurally similar host molecule results in well‐ordered, spectrally addressable, and orientation‐tunable triplet excitons that maintain coherence at elevated temperatures.
Yaoyao Han +6 more
wiley +2 more sources