Results 151 to 160 of about 342,447 (287)
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings. [PDF]
Khafagy M, Khafagy M, Swillam MA.
europepmc +1 more source
This study shows that a local, data‐driven AI model can accurately predict diverse optical and chiroptical properties of [6]helicenes using information from close structural neighbours. Combined with genetic algorithms, it enables inverse design for tailored properties, establishing practical structure–property rules for efficient molecular discovery ...
Rafael G. Uceda +8 more
wiley +1 more source
A high‐entropy air electrode material, Gd0.2Pr0.2Ba0.2Sr0.2Ca0.2FeO3−δ (GPBSCF), is developed for both solid oxide fuel cells and reversible protonic ceramic cells. Its enhanced activity stems from increased oxygen vacancies/holes. The stability improvement is attributed to lattice distortion, while thermal expansion reduction is synergistically due to
Ying Zhang +9 more
wiley +1 more source
Machine learning methods for designing a carbon dot based photoluminescent multimodal nanosensor. [PDF]
Chugreeva G +6 more
europepmc +1 more source
Selenium‐Based Nanoplatforms: An Emerging Theranostic Paradigm for Gynecological Cancers
This reivew summarizes Selenium as a multifunctional anticancer regulator in gynecological cancers. It reduces tumor risk, enhances therapeutic efficacy, and reduces treatment toxicity. Selenium also overcomes chemoraditherapy resistance, improving overall treatment outcomes. ABSTRACT Gynecological cancers present significant therapeutic challenges due
Hejing Liu +9 more
wiley +1 more source
Fast automated adjoints for spectral PDE solvers. [PDF]
Skene CS, Burns KJ.
europepmc +1 more source
Helical Electron Beam Micro‐Bunching by High‐Order Modes in a Micro‐Plasma Waveguide
ABSTRACT Electron acceleration by a high‐power Laguerre‐Gaussian pulse in a micro‐plasma waveguide is investigated. When the incident laser travels in the waveguide, electrons on the wall are extracted into the vacuum core and accelerated by the longitudinal field of the waveguide mode.
Xingju Guo, Longqing Yi
wiley +1 more source
Accurate Inverse Design of Broadband Solar Metamaterial Absorbers via Joint Forward-Inverse Deep Learning. [PDF]
Wu Q, Deng Z, Zeng C, Cai H.
europepmc +1 more source
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley +1 more source

