Results 61 to 70 of about 18,096,857 (248)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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
The rapid growth of electric vehicles (EVs) in recent years has been propelled by their eco-friendly benefits and expanding role within sustainable energy systems. In smart grids, EVs act as flexible electrical loads and a distributed energy storage unit.
Dita Puspita +4 more
doaj +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
New Energy Technologies: A Policy Framework for Micro-Nuclear Technology
Paper from Energy Forum study "New Energy Technologies: A Policy Framework for Micro-Nuclear ...
James A. Baker III Institute for Public Policy
core
Artificial Intelligence Meets Micro/Nanorobotics
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever +6 more
wiley +1 more source
In inventory management, business organizations gradually face challenges due to the complexities of managing perishable goods whose value diminishes over time.
Md Sadikur Rahman
doaj +1 more source
Wavelength‐Multiplexed 2D Beam Steering via a Passive Diffractive Network
Illustration of a wavelength‐multiplexed diffractive beam steering system, which is composed of K cascaded diffractive layers, each containing phase‐modulating elements that are jointly optimized using deep learning–based optimization. When illuminated with a set of wavelengths {λ1,λ2,…,λNw}$\{ {{{\lambda }_1},{{\lambda }_2},\ldots ,{{\lambda }_{{{N}_w}
Che‐Yung Shen +5 more
wiley +1 more source
Meeting: Research and Policy Workshop on Technology Problems for the Caribbean, 13 Nov.-10 Dec. 1983, Runaway Bay, JMAlso included as item no. 11, Module 12 in: Bibliography / Research and Policy Workshop on Technology Problems for the Caribbean, Runaway
Caribbean Technology Policy Studies Project +1 more
core +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Financial frictions and optimal monetary policy in an open economy [PDF]
A growing number of papers have studied positive and normative implications of financial frictions in DSGE models. We contribute to this literature by studying the welfare-based monetary policy in a two-country model characterized by financial frictions,
Marcin Kolasa, Giovanni Lombardo
core +2 more sources

