Results 111 to 120 of about 617,829 (273)
Navigating Ternary Doping in Li‐ion Cathodes With Closed‐Loop Multi‐Objective Bayesian Optimization
The search for advanced battery materials is pushing us into highly complex composition spaces. Here, a space with about 14 million unique combinations is efficiently explored using high‐throughput experimentation guided by Bayesian optimization with a deep kernel trained on both the Materials Project database and our data.
Nooshin Zeinali Galabi +6 more
wiley +1 more source
We establish an explicit uniform a priori estimate for weak solutions to slightly subcritical elliptic problems with nonlinearities simultaneously at the interior and on the boundary.
Edgar Antonio +3 more
doaj
Some a priori estimates for a critical Schrodinger-Newton equation
Under natural energy and decay assumptions, we derive a priori estimates for solutions of a Schrodinger-Newton type of equation with critical exponent. On one hand, such an equation generalizes the traditional Schrodinger-Newton and Choquard equations, while, on the other hand, it is naturally related to problems involving scalar curvature and ...
openaire +4 more sources
Opportunities for Multiscale Pattern Modulation with Temporally Arrested Breath Figures
This works presents the temporally arrested breath figure methodology and its opportunities for pattern modulation. Through thermodynamic and photochemical phase change handles, this method uses drop‐wise condensation as a dynamic template for fast, accessible and scalable micropatterning.
Francis J. Dent +5 more
wiley +1 more source
Effect of Host Anisotropy on Phosphorescent Emitter Orientation and Light Outcoupling in OLEDs
The orientation of the emissive transition dipole moment of a cage‐type Iridium complex can be tuned by the anisotropic alignment of the cohost material, which is expressed as the S$S$ parameter of the film. Thus, the external quantum efficiency of OLEDs can be further enhanced to reach values above 30%.
Bình‐Minh Nguyễn +5 more
wiley +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
This Review focuses on assessing and providing perspective on the field of rationally‐designed optical sensors constructed with single‐walled carbon nanotubes. The literature is reviewed and evaluated for SWCNT‐based sensors constructed with biomolecular recognition elements, including proteins, peptides, and oligonucleotides, as well as their methods ...
Amelia K. Ryan +4 more
wiley +1 more source
Researchers have developed a patient‐derived organ‐on‐a‐chip model for pancreatic cancer by integrating cancer cells with supportive stromal and immune cells inside a microfluidic device. This system mimics the tumor microenvironment, enabling personalized testing of chemotherapy and immunotherapy, and offering new insights into how targeting ...
Darbaz Adnan +11 more
wiley +1 more source
Periodic travelling waves of a forced Cahn-Hilliard equation
We prove analytically the existence of a uniparametric family of periodic travelling waves for a Cahn-Hilliard equation with an external forcing term modelling the phase separation of a binary mixture of fluids with thermal diffusion.
Pedro J. Torres
doaj +1 more source
Using single‐cell RNA sequencing of lung samples and flow cytometry of peripheral blood, we identified a novel T cell subset with high metallothionein (MT) expression. These MT‐high T cells suppress CD8+ T cell cytotoxicity and are progressively depleted from healthy controls to chronic obstructive pulmonary disease (COPD) patients, positioning them as
Zengqing Liu +23 more
wiley +1 more source

