Results 181 to 190 of about 25,776 (266)

Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions

open access: yesAdvanced Science, EarlyView.
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan   +8 more
wiley   +1 more source

Rapid Exploration of the Assembly Chemical Space of Molecular Graphs. [PDF]

open access: yesJ Chem Inf Model
Seet I   +4 more
europepmc   +1 more source

Uncoupling Type I Interferon Benefits From Inflammatory Toxicity: Transformer‐Prioritized Precision Agonists for Potent and Safer Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
A Transformer‐based AI framework, DLINP, screens millions of compounds to identify Co68, a cobalt‐pincer organometallic complex that biases TLR4‐MD2 signaling toward antitumor interferon activation while suppressing inflammatory toxicity through an early TLR4‐SYK‐STAT1 axis.
Xuefei Guo   +10 more
wiley   +1 more source

Algebraic Representation of Mitochondrial Dynamics. [PDF]

open access: yesBull Math Biol
Mostov R, Lewis G, Sturm G, Marshall WF.
europepmc   +1 more source

Serial Molecular‐Microstructural Multimodal Intravascular Imaging of Atherosclerotic Plaques in Mice

open access: yesAdvanced Science, EarlyView.
A novel longitudinal molecular and microstructural intravascular imaging approach is developed to study murine atherosclerosis. The technique combines a unique surgical model with a miniaturized multimodal device to detect macrophage activity and lipid simultaneously.
Jiawen Li   +12 more
wiley   +1 more source

A Unified Hierarchical Multiscale Fusion Framework for Drug–Target Affinity Prediction: From Benchmark Performance to Nanomolar Inhibitor Discovery

open access: yesAdvanced Science, EarlyView.
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu   +7 more
wiley   +1 more source

From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits

open access: yesAdvanced Science, EarlyView.
This review establishes a unified PS–EQ–RF framework linking graphene sensing mechanisms, native electrical outputs, and output‐specific readout circuits. Voltage‐, current‐, resistance‐, and capacitance‐type sensing systems are systematically classified to guide architecture selection, low‐noise design, system co‐design, and practical integration ...
Jinduo Zhang   +5 more
wiley   +1 more source

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