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
A large-scale cryo-EM RNA motif dataset and benchmark for machine learning-based structure modeling. [PDF]
Murugadass C +4 more
europepmc +1 more source
Measuring the Hall Effect in Hysteretic Materials
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya +6 more
wiley +1 more source
Neural and computational correlates of strategic aborting and long-run policy optimization in the dorsolateral prefrontal cortex. [PDF]
Noel JP, Zhang R, Pitkow X, Angelaki DE.
europepmc +1 more source
Stacked nanoflake assembly (SNA) membranes can oscillate autonomously, offering opportunities for soft actuation and energy harvesting. This work uncovers the physical mechanism behind the sustained oscillation of SNA membranes in gradient humidity and identifies three governing dimensionless parameters, enabling rational design for optimizing SNA ...
Zijing Zhang +5 more
wiley +1 more source
Frontier Advances in Wind-Driven Triboelectric Nanogenerators for Realistic Wind Environments: Scenario-Oriented Architecture Design, System Integration, and Critical Assessment. [PDF]
Zhu M +7 more
europepmc +1 more source
De Novo Structure Prediction from Tandem Mass Spectra: Algorithms, Benchmarks, and Limitations. [PDF]
Schneider MY +6 more
europepmc +1 more source
Autonomous navigation in unstructured outdoor environments using semantic segmentation guided reinforcement learning. [PDF]
Tibermacine A +4 more
europepmc +1 more source
Towards Collaborative Autonomous Operations in Power Infrastructure: A Robotic Fine Manipulation Framework. [PDF]
Xu G, Dong Y.
europepmc +1 more source

