Results 131 to 140 of about 54,840 (295)
Generating captions automatically for images has been a challenging task, requiring the integration of image processing and natural language processing techniques.
Smita Bharne, Pawan Bhaladhare
doaj +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Vision–Language Pretraining for Image Captioning Using Facial Expression Recognition
This paper presents a novel approach incorporating Facial Expression Recognition (FER) to improve emotional and contextual understanding in Vision-Language Pretraining (VLP) model-generated image captions.
Abdul Saboor Khan +2 more
doaj +1 more source
Ether‐Based Electrolytes and the Solvation Structure in Sodium Ion Batteries
Ether electrolytes enable high‐performance sodium‐ion batteries through their unique physicochemical properties, particularly distinctive solvation structures and co‐intercalation behavior. However, the localized solvation structure and its dynamic evolution during electrochemical processes remain a “black box”.
Jiaxin Ding, John T. S. Irvine
wiley +1 more source
Copy of a typescript list of captions to be used in Olive Burt\u27s book about Pyramid ...
core
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
Catalytic strain‐release ring opening and functionalizations of 1‐azabicyclo[1.1.0]butanes (ABBs) represent a promising strategy for accessing diverse azetidine products. These transformations proceed via polar pathways, radical pathways, and hybrid mechanisms that combine both.
James Shao‐Jiun Yang +1 more
wiley +2 more sources
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Up to 16% Optical Carbon‐13 Hyperpolarization of Donor–Acceptor Molecules at 14.1 T
Up to 16% 13C nuclear polarization is achieved using a rationally designed photo‐CIDNP polarizing agent (PA) in magic‐angle‐spinning NMR experiments at 14.1 T. The PA was designed using a combination of theoretical photocycle calculations and magnetic field dependent experiments to identify important new design principles.
Marcel Levien +10 more
wiley +2 more sources
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source

