Marine regression emerges as key driver of Late Paleozoic Ice Age in high-resolution model

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

AMOC collapse simulations reveal what could happen to the ocean's carbon

The Atlantic Meridional Overturning Circulation (AMOC) is the system of currents responsible for shuttling warm water ...

Boston Dynamics’ next-gen humanoid robot will have Google DeepMind DNA

The partnership, which was announced during the Hyundai press conference at CES 2026, is centered on robotics research that ...
SciELO

From Origin to Current Methods: An Overview of Molecular Modeling Applied to Medicinal Chemistry in the Last 30 Years

Molecular modeling soon attracted the attention of Medicinal Chemistry researchers, given the importance of molecular structure for understanding the mode of action and for designing bioactive ...
GitHub

Omni-Mol: Multitask Molecular Model for Any-to-any Modalities

Jointly training seemingly unrelated tasks, such as Molcap and the Quantum Mechanics Property Prediction Task, can also lead to performance improvements for both. DATA_BASE_DIR str Base directory of ...
Frontiers

MoltiTox: a multimodal fusion model for molecular toxicity prediction

1 Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea 2 Department of Systems Management Engineering, Sungkyunkwan University, Suwon, Republic of Korea ...
IEEE

Frequency-Domain Model of Microfluidic Molecular Communication Channels With Graphene BioFET-Based Receivers

Abstract: Molecular Communication (MC) is a bio-inspired communication paradigm utilizing molecules for information transfer. Research on MC has largely transitioned from theoretical investigations to ...
IEEE

GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimization Framework for Boosting Molecular Properties Prediction

Abstract: High-performance molecular property prediction is one of the essential problems in many research fields. Although Deep Learning models (DLMs) have the strong potential to predict molecular ...