Results 121 to 130 of about 5,223,875 (168)
BRCA1 mutation‐responsive FBOA‐tFNA selectively recognizes mutant transcripts and coordinates reduction‐responsive intracellular delivery of olaparib and adavosertib, amplifying DNA damage and weakening G2/M checkpoint protection. These effects are accompanied by STING‐associated immune activation and stronger antitumor immunity, while sequential anti ...
Chenyi Wang +7 more
wiley +1 more source
Lactate Homeostasis Disruption Potentiates TACE‐Immunotherapy in Hepatocellular Carcinoma
Lactate homeostasis is disrupted through spatially coordinated extracellular neutralization and intracellular acidification, triggering calcium overload, mitochondrial dysfunction, and immunogenic cell death. This metabolic reprogramming alleviates the immunosuppressive tumor microenvironment and enhances immune checkpoint blockade, providing a ...
Minjiang Chen +12 more
wiley +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Solution blending of zwitterionic polymers with PEDOT:PSS provides a simple route to OECT materials with enhanced threshold voltage stability in biologically relevant environments. The polymer sequence alters outer‐domain structure within the preserved PEDOT:PSS framework, thereby tuning charge transport.
Wakana Takahashi +3 more
wiley +1 more source
A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou +34 more
wiley +1 more source
This work introduces a CeHP‐enabled multifunctional matrix‐activated electrode (MME) for high‐temperature PEM fuel cells, forming an electrochemically and mechanically functional matrix within the catalyst layer. The design increases peak power density by 38% and reduces voltage decay by 62% at 240 °C, while using only 40% of the Pt loading of a ...
Gyeongseok Gwak +12 more
wiley +1 more source
Nanocrystalline LCO/LLZO Composite Cathode Films for Solid State Batteries
A single precursor solution is solution‐deposited and calcined at only 750°C to yield a dense, nanograined LiCoO2/LLZO composite cathode, in which both phases crystallize independently with minimal interdiffusion. Assembled into all‐solid‐state Li‐metal batteries, the composite delivers 111.7 mAh g−1 initial discharge capacity and retains 93% after 100
Lucie Quincke +8 more
wiley +1 more source
Adopting a scalable hybrid two‐step deposition process route, textured perovskite/silicon tandem solar cells achieve over 30% power‐conversion efficiency. The process route replaces all non‐scalable spin‐coating steps, including organic precursor deposition, self‐assembled monolayer formation, and passivation layer deposition, with scalable techniques ...
Raphael Pesch +16 more
wiley +1 more source
ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source

