Results 221 to 230 of about 63,057 (294)

Photoelectric Imaging of the Optically Inactive Charge State of Silicon‐Vacancy Defects in Diamond

open access: yesAdvanced Science, EarlyView.
Although the doubly negative charge state of the SiV center in diamond is predicted to ionize only in the ultraviolet and is therefore considered optically inaccessible, we demonstrate visible‐range photoelectric imaging enabled by a previously unrecognized regime of laser‐assisted tunneling. ABSTRACT The investigation of optically active point defects
Ilia Chuprina   +8 more
wiley   +1 more source

Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors

open access: yesAdvanced Science, EarlyView.
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley   +1 more source

Advancing Energy Efficiency in Smart Windows via Dual‐Responsive Electro‐Thermochromism

open access: yesAdvanced Science, EarlyView.
A durable and stable quasi‐solid‐state electro‐thermal dual‐responsive photothermal regulation device has been employed in advanced energy‐efficient smart windows. The devised device not only incorporates a thermochromic hydrogel characterized by high ionic conductivity, high optical transmittance, and a low LCST, but also comprises an electrochromic ...
Tongyu Chen   +10 more
wiley   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

open access: yesAdvanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao   +6 more
wiley   +1 more source

Multidimensional roles and clinical significance of GATA3 in breast cancer. [PDF]

open access: yesFront Cell Dev Biol
Tan J   +7 more
europepmc   +1 more source

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

open access: yesAdvanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang   +10 more
wiley   +1 more source

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