Results 171 to 180 of about 1,391,068 (260)
MCP-enabled LLM for meta-optics inverse design: leveraging differentiable solver without LLM expertise. [PDF]
Huang Y +7 more
europepmc +1 more source
There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato +9 more
wiley +1 more source
Inverse Design of Thermal Imaging Metalens Achieving 100° Field of View on a 4 × 4 Microbolometer Array. [PDF]
Bae M, Jang E, Kang C, Chung H.
europepmc +1 more source
Fermi Surface Nesting and Anomalous Hall Effect in Magnetically Frustrated Mn2PdIn
Mn2PdIn, a frustrated inverse Heusler alloy, showing electronic‐structure driven anomalous Hall effect with Weyl crossings, Fermi‐surface nesting and near‐zero magnetization ideal for low‐magnetization spintronics. Abstract Noncollinear magnets with near‐zero net magnetization and nontrivial bulk electronic topology hold significant promise for ...
Afsar Ahmed +7 more
wiley +1 more source
Adjoint-Driven Inverse Design of a Quad-Spectral Metasurface Router for RGB-NIR Sensing. [PDF]
Arfin R +4 more
europepmc +1 more source
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan +14 more
wiley +1 more source
Machine learning-enabled inverse design of bioinspired layered composite structures with maximum auxetic performance. [PDF]
Li Y +9 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Realization of inverse-design magnonic logic gates. [PDF]
Zenbaa N +8 more
europepmc +1 more source
Electrically Tunable On‐Chip Topological Photonics with Integrated Carbon Nanotubes
This work demonstrates electrically tunable on‐chip topological THz devices by integrating 2D carbon nanotube (CNT) sheets with valley‐Hall photonic crystals, enabling broadband transmission modulation (71% modulation depth) and tunable narrowband filtering (0.54 GHz shift) through electrically induced thermal tuning. This advancement paves the way for
Jifan Yin +7 more
wiley +1 more source

