Results 141 to 150 of about 1,307,610 (290)
Quantum Algorithms for Classical Probability Distributions
, 2019 We study quantum algorithms working on classical probability distributions. We formulate four different models for accessing a classical probability distribution on a quantum computer, which are derived from previous work on the topic, and study their mutual relationships.
openaire +4 more sources
Advanced Functional Materials, EarlyView.A graphene‐supported 2D metal–organic network stabilizes highly reactive Fe(I)‐N4 single sites through Co‐induced charge redistribution. Combined experiments and theory reveal Fe(I) formation, oxygen‐driven oxidation, and O2 activation mechanisms, offering a strategy to access low‐valent iron centers relevant to catalytic and biological processes ...
Alessandro Namar +9 more
wiley +1 more source
Algorithmic Probability Method Versus Kolmogorov Complexity with No-Threshold Encoding Scheme for Short Time Series: An Analysis of Day-To-Day Hourly Solar Radiation Time Series over Tropical Western Indian Ocean. [PDF]
Entropy (Basel), 2019 Bessafi M +4 more
europepmc +1 more source
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Linking Interseismic Locking to Coseismic Rupture: The 2025 Mw 8.8 Kamchatka Earthquake
Geophysical Research LettersWe investigate interseismic locking on the Kamchatka megathrust, source of the 2025 Mw 8.8 earthquake, using a data‐driven probabilistic framework. Horizontal GNSS velocities constrain a boundary element model on a triangulated megathrust geometry, while
Axel J. Periollat, Gareth J. Funning
doaj +1 more source
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
THE APPLICATION OF ALGORITHMIC PROBABILITY TO PROBLEMS IN ARTIFICIAL INTELLIGENCE
, 2008 1 INTRODUCTION We will cover two topics First, Algorithmic Probability-- the motivation for defining it, how it overcomes difficulties in other formulations of probability, some of its characteristic properties and successful ...
core
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced 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
Exploring Algorithmic Assemblages Through Multimodal Inquiry
We explore the increasing role of algorithms in organizational processes, conceptualized as “algorithmic organizing.” As algorithms move from being mere tools to embedded drivers of organizational processes, they redefine traditional boundaries in work ...
Timmer, Verena +2 more
core +2 more sources