Results 201 to 210 of about 6,390 (274)
Research on Superconductivity in Multilayer ABC-Stacked Graphene. [PDF]
Wang JL, Liang JX, Wang XQ.
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Comprehensive enhancement of blasting performance and dust suppression in open-pit mines using a modified mudstone-fly ash geopolymer stemming material. [PDF]
Ding X, Wang Y, Shi Z, Jiang L, Liu X.
europepmc +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Unveiling the Heterogeneity and Multifunctions of Biological Membranes: A Unifying Perspective in Membrane Biophysics from Molecular Coupling to Cellular Function. [PDF]
Wu H, Ou-Yang ZC.
europepmc +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Proceedings of the 26th International Analytical Ultracentrifugation Workshop and Symposium. [PDF]
Walter J, Bepperling A.
europepmc +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Modeling Pharmaceutical Batch Cooling Crystallization Processes Using Computational Fluid Dynamics Coupled with a One-Dimensional Population Balance Model. [PDF]
M Camacho Corzo D +5 more
europepmc +1 more source
Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao +5 more
wiley +1 more source

