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 +3 more
wiley +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
Advanced Materials, EarlyView.This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
An Adaptive Biomarker-based Umbrella Trial Design Using Bayesian Latent Class Model. [PDF]
Stat Biopharm ResGuo J, Lu M, Han Y, Han L, Zang Y.
europepmc +1 more source
Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies
Advanced Materials, EarlyView.In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim +5 more
wiley +1 more source
Analysis of behavioral sequences in social interactions of autistic children: a latent class model based on structured play observation. [PDF]
Front PsychiatryChen Y.
europepmc +1 more source
Unobserved Heterogeneity in the Binary Logit Model with Cross-Sectional Data and Short Panels: A Finite Mixture Approach [PDF]
This paper proposes a new approach to dealing with unobserved heterogeneity in applied research using the binary logit model with cross-sectional data and short panels.
Anders Holm +2 more
core
Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health
Advanced Materials, EarlyView.This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim +4 more
wiley +1 more source
A Latent-Class Model for Time-To-Event Outcomes and High-Dimensional Imaging Data. [PDF]
Stat MedFeng J, Shi H, Da M, Beg MF, Cao J.
europepmc +1 more source
Identification of Segments of French Urban Public Transport with a Latent Class Frontier Model [PDF]
This paper analyses technical efficiency of French urban public transport from 1995 to 2002 with unbalanced panel data. The latent class frontier model is used allowing the identification of different segments in the production frontier.
Carlos Barros, William Roy
core
Thickness‐Defined Transport Regime Toward Near‐Ideal Area‐Type Switching
Advanced Materials, EarlyView.By thinning the oxide layer, memristors pass from diode‐like and battery‐effect‐dominated behavior toward eventual short‐circuit failure. Within the intermediate 5–6 nm window, they reach a near‐ideal analog area‐type switching regime, featuring symmetric hysteresis, area‐dependent conductance, and continuous linear programming of HRS and LRS with ...
Cuo Wu +12 more
wiley +1 more source