Results 131 to 140 of about 1,200,969 (291)
Automated reasoning about machines
AbstractNumerical simulation is often used in predicting machine behavior, a basic capability for many tasks such as design and fault diagnosis. However, using simulators requires considerable human effort both to create behavioral models and to analyze and understand simulation results.
openaire +1 more source
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 engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela +4 more
wiley +1 more source
Design Smart Games with requirements, generate them with a Click, and revise them with a GUIs
TERENCE is an FP7 ICT European project that is developing an adaptive learning system for supporting poor comprehenders and their educators. Its learning material are books of stories and games. The games are specialised into smart games, which stimulate
Rosella GENNARI +4 more
doaj
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
A Method to Identify and Analyze Biological Programs through Automated Reasoning. [PDF]
Yordanov B +5 more
europepmc +1 more source
Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon +9 more
wiley +1 more source
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
A microfluidic method is presented which enables parallelized fabrication of rod‐shaped microgels, based on step‐emulsification (SE) droplet generation and subsequent droplet distribution and confinement, combined in a single device. Microgel rods are fabricated in parallel at different flow rates based on two light‐mediated crosslinking chemistries ...
Matthias Mork +5 more
wiley +1 more source
caspo: a toolbox for automated reasoning on the response of logical signaling networks families. [PDF]
Videla S +3 more
europepmc +1 more source

