Results 111 to 120 of about 147,708 (238)
Neutron reflectometry instrumentation at the ISIS source: current state. [PDF]
Campana M +8 more
europepmc +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
wiley +1 more source
AI-Driven Design of Miniproteins as Potential Allosteric Modulators. [PDF]
Liu X, Sun Y, Xia Y, Li H, Yan Z.
europepmc +1 more source
Robust helix photo-transforming in soft matter. [PDF]
Li M +11 more
europepmc +1 more source
Structure-dynamics decoupling in soft-colloid suspensions. [PDF]
Arenas-Gullo A +4 more
europepmc +1 more source
Observation of mechanical kink control and generation via acoustic waves. [PDF]
Qian K +7 more
europepmc +1 more source
Why should we pursue soft condensed matter
This review highlights the physics aspects of soft condensed matter to show that these are novel systems to explore cooperative behaviour in condensed matter under equilibrium and non-equilibrium conditions. A case is made for focusing research in this-area in our country.
openaire +1 more source

