Results 231 to 240 of about 11,870,717 (270)
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi +6 more
wiley +1 more source
Variational modeling and numerical simulations for evaporating thin droplets and coffee-ring effect. [PDF]
Li Y, Zhao Q, Qian T.
europepmc +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Investigating the Thermal Cracking Processes of a Concrete Disk Considering the Influences of Aggregates and Pores: A Numerical Study Based on DEM. [PDF]
Hu S, Zhu X, Shi J, Li Y, Yu S.
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
Universality in peristaltic locomotion: Linking biology, theory, and simulation. [PDF]
Santoriello R, Viola F, Citro V.
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
Emergent collective dynamics of microrobotic swarms in viscoelastic media: a computational perspective. [PDF]
Pramanik R.
europepmc +1 more source

