Results 191 to 200 of about 258,084 (292)
Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma +5 more
wiley +1 more source
Giant-magnetocaloric effect and phonon dynamics in (GdCe)CrO<sub>3</sub>. [PDF]
Dokala RK, Das S, Thota S.
europepmc +1 more source
Photonic time crystals (PTCs) are systems in which electromagnetic parameters are modulated periodically in time, producing momentum bandgaps via temporal scattering rather than spatial Bragg processes. This review examines the theoretical frameworks, modeling, and computational tools for time‐varying media, and summarizes experimental demonstrations ...
Ranjan Kumar Patel +3 more
wiley +1 more source
Dynamic disordering in discrete states: Disconnected hopping boosts anharmonicity in CuInP<sub>2</sub>S<sub>6</sub>. [PDF]
Wang B +7 more
europepmc +1 more source
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Competing bonding and anharmonicity control piezoelectricity and thermal transport in janus BrSbX monolayers. [PDF]
Chu VH +5 more
europepmc +1 more source
Beyond the Edge: Basal‐Plane Defects as the Dominant Catalytic Sites in Sulfur‐Doped Graphene
Identification of basal‐plane sites in sulfur‐doped graphene challenges the conventional edge‐focused catalytic picture. Sulfur dopants together with inevitable oxygen‐containing groups modulate local charge and spin distributions, enhancing lithium binding and activating ORR/NRR intermediates.
Xuanhao Yuan +5 more
wiley +1 more source
Quantum engineering of GaAs nanoribbons for advanced thermoelectric energy conversion. [PDF]
Goumri-Said S, Kanoun MB.
europepmc +1 more source
Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications
We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo +3 more
wiley +1 more source

