Results 231 to 240 of about 24,564,249 (381)
Stability of Nonlinear Control Systems : Liapunov's Direct Method
, 1966 J. Nagumo
openalex +2 more sources
Manipulating Ferroelectric Topological Polar Structures with Twisted Light
Advanced Materials, EarlyView.We demonstrate dynamic control of ferroelectric order in quasi‐2D CsBiNb2O7 using twisted ultraviolet light carrying orbital angular momentum. Our approach harnesses non‐resonant multiphoton absorption and induced strain to modulate topological of ferroelectric polarization textures.
Nimish P. Nazirkar +10 more
wiley +1 more source
Ultrafast Laser Synthesis of Zeolites
Advanced Materials, EarlyView.The study presents a novel ultrafast laser‐driven synthesis technique for zeolites directly in liquid. Laser pulses create a microscopic reactor that controls reaction kinetics at femto‐ and picosecond timescales. Nonlinear light‐matter interactions drive nucleation and growth, allowing the process to be paused at any stage of self‐assembly.
Sezin Galioglu +11 more
wiley +1 more source
Identification and Modeling of Nonlinear Dynamical Systems Using Volterra Functional Series
, 1969 Katsuhiko Fujii, K. Nakao
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Van Der Waals Hybrid Integration of 2D Semimetals for Broadband Photodetection
Advanced Materials, EarlyView.Advanced broadband photodetector technologies are essential for military and civilian applications. 2D semimetals, with their gapless band structures, high mobility, and topological protection, offer great promise for broadband PDs. This study reviews the latest advancements in broadband PDs utilizing heterostructures that combine 2D semimetals with ...
Xue Li +9 more
wiley +1 more source
Finite-Difference Methods for Nonlinear Hyperbolic Systems [PDF]
, 1968 A. R. Gourlay, J. Ll. Morris
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Nonlinear system identification of receptive fields from spiking neuron data [PDF]
BMC Neurosci, 2015 Florescu D, Coca D.
europepmc +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Advanced Materials, EarlyView.Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan +9 more
wiley +1 more source