Results 201 to 210 of about 114,425 (266)

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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Evaluating Bio-Inspired Metaheuristics for Dynamic Surgical Scheduling: A Resilient Three-Stage Flow Shop Model Under Stochastic Emergency Arrivals. [PDF]

Biomimetics (Basel)
Becerra-Rozas M, Gana B, Lara J, Leiva-Araos A, Crawford B, Gómez Pulido JM, Contreras C, Caro-Miranda JJ, García-Remesal M.   +8 more
europepmc   +1 more source

Phase‐Pure and Size‐Tunable Tin Halide Perovskite Quantum Dots

Advanced Materials, EarlyView.
A trioctylphosphine oxide modulated protocol allows for the synthesis and study of the optical properties of a broad library of tin halide perovskite quantum dots across multiple A‐ and X‐site compositions with precise size tuning while eliminating unwanted 2D phases.
Ole F. Dressler, Benjamin Aymoz, Sebastian Sabisch, Stefanie Frick, Sebastian Siol, Dmitry N. Dirin, Simon C. Boehme, Maksym V. Kovalenko   +7 more
wiley   +1 more source

Distortions of space and time in and around objects and events. [PDF]

Psychon Bull Rev
Yousif SR, Sherman BE.
europepmc   +1 more source

Phase Engineering of Atomically Precise Nanoclusters (APNCs) of Gold and Beyond

Advanced Materials, EarlyView.
Engineering the structural phase of materials is of paramount importance for both fundamental research and practical applications. In this Review, we summarize the recent progress in controlling the phases of atomically precise nanoclusters (APNCs) of gold, silver and copper, as well as bimetallic systems. The phase‐enabled material properties of APNCs
Yitong Wang, Avirup Sardar, Weijie Ji, Zhongyu Liu, Rongchao Jin   +4 more
wiley   +1 more source

Deep learning-enabled versatile shape perception for soft robots via single-ended multimode fiber. [PDF]

Sci Adv
He Z, Wang L, Geng H, Lu Z, He T, Zhong H, Zhang H, Zhu R, Zhao Q, Meng Y, Li D, Yan P, Liu Q, Xiao Q.   +13 more
europepmc   +1 more source

Urgent samples in clinical laboratories: stochastic batching to minimize patient turnaround time. [PDF]

Health Care Manag Sci
Novak A, Gnatowski A, Sucha P.
europepmc   +1 more source

Small Area Estimation of Education Levels in Low- and Middle-Income Countries. [PDF]

Ann Appl Stat
Wu Y, Dharamshi A, Wakefield J.
europepmc   +1 more source

Using a two-stage D-Optimal mode to select equipment for flexible manufacturing systems. [PDF]

Sci Rep
Yu X, Mi J, Liu J, Long L, Li X, Mo Q.
europepmc   +1 more source

Single photon event-driven 3D imaging. [PDF]

Commun Eng
Vicente Sola A, Aquilina M, Kirkland P, Lyons A.   +3 more
europepmc   +1 more source