The journal of physical chemistry letters
Apr 22, 2026
Optimizing organic photovoltaic (OPV) devices requires a holistic understanding of all functional layers, hindered by multiscale, multiphysics interactions difficult to fully model traditionally. While machine learning (ML) excels in active layer dev... read more
BACKGROUND: The prevalence of under-five stunting in Ethiopia remains above 30%, which, according to World Health Organization (WHO), constitutes a major public health concern. Stunting has long-term consequences for child growth, development, and ov... read more
Motor imagery electroencephalogram (MI-EEG) analysis is essential for natural interaction and autonomous control in brain-computer interfaces (BCIs). However, deep learning models often struggle with inter-subject variability, which limits their abil... read more
Global economic shocks such as the 2008 financial crisis or recent trade escalations between the United States and China have exposed the complexity of interdependent economies and the need for systemic, multi-agent analysis. However, most regional e... read more
Monotherapy cancer drug response prediction (DRP) models predict the response of a cell line to a given drug. Analyzing these models' performance includes assessing their ability to predict the response of cell lines to new drugs, i.e., drugs that ar... read more
Our ability to generalize abstract rules to new situations is a cognitive hallmark, yet its neural basis is unclear. We identified a thalamocortical circuit essential for this process in mice. During a cross-modal rule transfer task, medial prefronta... read more
CO2 emissions from lakes play a crucial role in the global carbon cycle, yet their long-term dynamics remain poorly constrained. Here, leveraging a compiled lake CO2 flux dataset, machine learning model, and lake area data, we demonstrated a nationwi... read more
Coastal flooding is increasing, with accelerating impacts ahead. Its impact, however, can be mitigated through proactive risk management, requiring comprehensive risk assessment. Using the US Gulf and Atlantic Coasts (USGAC) as a test bed, this study... read more
Analyses of brain sizes across mammalian taxonomic groups reveal a consistent pattern of covariation between major brain components, including a robust inverse relationship between the limbic system and the neocortex. To find the functional basis of ... read more
Human fingers exhibiting remarkable dexterity are ideal for natural human-machine interaction. Traditional methods require at least one device per finger and extensive labeled data, often limiting models to a single user and task. Here, we propose a ... read more
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