Results 161 to 170 of about 184,860 (271)
Entropic Dynamics Approach to Quantum Electrodynamics. [PDF]
Caticha A.
europepmc +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Ultrastrong TEMPO‐Oxidized Densified Bamboo via Interface Decoupling and Hierarchical Toughening
This study develops TEMPO‐oxidized densified bamboo that achieves ultrahigh strength and toughness by decoupling rigid hydrogen bonds into reversible van der Waals interactions. TEMPO oxidation reorganizes the cellulose hydrogen‐bonding network, facilitating energy dissipation via reversible interactions, thereby establishing a general strategy to ...
Ziyu Ba +5 more
wiley +1 more source
Fine-Tuning Directional Message Passing Neural Networks: Predicting Properties of Conjugated Organic Polymers with High Accuracy. [PDF]
Koskin IP, Petrosyan LS, Kazantsev MS.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications
We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo +3 more
wiley +1 more source
No-Signaling in Steepest Entropy Ascent: A Nonlinear, Non-Local, Non-Equilibrium Quantum Dynamics of Composite Systems Strongly Compatible with the Second Law. [PDF]
Ray RK, Beretta GP.
europepmc +1 more source
Bimodal modulation of nitric oxide in endothelial cells is achieved by light‐sensitive polymer nanoparticles. In dark, P3HT/PEDOT:PSS NPs boost intracellular ·NO, upregulate both endothelial and induced nitric oxide synthase, and drive a metabolic shift toward glycolysis.
Camilla Marzuoli +12 more
wiley +1 more source

