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
Mechanical behavior of reservoir bank slope-pile-sheet structures under reservoir operation: Field monitoring and numerical simulation analysis. [PDF]
Cai Z +7 more
europepmc +1 more source
Research on Tail Rotor Load Test Flight Technology for Helicopters Based on Strain Sensor Measurement. [PDF]
Jiao S, Zheng J, Li K, Hu X.
europepmc +1 more source
Deformation law of overlying rock strata during the initial mining period of a coal mining face: mechanical analysis. [PDF]
Chuantian L +5 more
europepmc +1 more source
Mechanisms of seismic improvement in pile-sheet wall supported slopes using ECC and anchor cables. [PDF]
Wang R +5 more
europepmc +1 more source
Design and Modeling of Piezoelectric Nanofilm Actuators for Low-Voltage Powered Microrobots. [PDF]
Lin J, Chen Z, Liu Q.
europepmc +1 more source
Enhancing reliability and automation of LLM-based structural analysis using a hybrid multi-agent pipeline. [PDF]
Heo S.
europepmc +1 more source
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