Weather forecasting plays a vital role in today's society, from agriculture and logistics to predicting the output of renewable energies and preparing for extreme weather events. Deep learning weather forecasting models trained with the next state pr... read more
Accurately modeling noncovalent interactions (NCIs) involving charged systems remains an outstanding challenge in density functional theory (DFT), with implications across natural and life sciences, engineering, e.g., in biochemistry, catalysis, and ... read more
Cryptic binding sites offer opportunities to modulate targets previously considered "undruggable." However, the scarcity of validated examples limits the development of predictive tools. Here, we introduce CryptoBank, a large-scale database of crypti... read more
This Viewpoint urges reimagining of robotic foundation models, from treating the robot as a solitary, omnipotent agent to embracing a multiagent, alliance-aware paradigm. Alliance-aware models learn with humans and other robots, not merely for them, ... read more
Systemic sclerosis (SSc) is characterized by fibrosis and vasculopathy affecting the skin and internal organs, leading to multiorgan dysfunction. Injury of microvascular endothelial cells (ECs) in SSc impairs blood flow and causes tissue ischemia, le... read more
Journal of chemical information and modeling
Apr 22, 2026
Choosing effective molecular representations remains a central challenge in molecular machine learning and is often addressed through costly trial-and-error. While model selection is typically guided solely by predictive performance, analyzing relati... read more
Efficient thermal management has become a pivotal bottleneck for the reliability of high-power density electronics, such as 5G communication and artificial intelligence (AI) systems. Traditional thermal interface materials (TIMs) consisting of random... read more
OBJECTIVES: Familial Mediterranean Fever (FMF) is a monogenic autoinflammatory disease caused by MEFV mutations, with amyloidosis as its most severe complication. This study aimed to compare logistic regression, random forest, and gradient boosting m... read more
SUMMARY: Phylogenetic trees are ubiquitous and central to biology, but most published trees are available only as visual diagrams and not in the machine-readable Newick format. There are, thus, thousands of published trees in the scientific literatur... read more
BACKGROUND AND OBJECTIVES: Neighborhood disorder represents an environmental stressor that contributes to physiological wear and tear on the body, known as allostatic load. This study examines racial differences in the longitudinal associations betwe... read more
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