Results 161 to 170 of about 10,495 (249)
ChemElectroChem, Volume 13, Issue 12, 17 June 2026.Redox‐active guanidines, comprising guanidino‐functionalized aromatics (GFAs) and redox‐active urea azines (RAAs), are electron donors and strong Lewis and Brønsted bases that are used in several applications. They act as redox‐active ligands in bistable coordination compounds and as reagents in dehydrogenative coupling reactions and proton‐coupled ...
Hans‐Jörg Himmel
wiley +1 more source
ChemBioChem, Volume 27, Issue 11, 15 June 2026.BODIPY‐decorated monofunctional Pt(II) complexes were computationally designed as dual chemo‐photodynamic agents. π‐conjugation engineering shifts absorption into the therapeutic window (up to 661 nm) while preserving singlet oxygen generation and DNA platination capability.
Fortuna Ponte, Gloria Mazzone
wiley +1 more source
Nanophotonics, Volume 15, Issue 11, 13 June 2026.Backward optical parametric oscillation is realized in a submicron‐poled thin‐film lithium niobate microring. By engineering the quasi‐phase‐matching condition, both type‐0 and type‐I degenerate oscillation emerge in the same device and are selectively accessed through temperature tuning, providing a versatile on‐chip platform for polarization‐diverse ...
Fengyan Yang, Hong X. Tang
wiley +1 more source
Quantum Harmonic Oscillation and the quantum Multiverse
Introduces structured quantum oscillations at a universal level. The first serious discussion of Multiverse as harmonic oscillators.
Hilmir Frímann Halldórsson +2 more
openaire +2 more sources
Advanced Theory and Simulations, Volume 9, Issue 6, June 2026.Using the analytic cross‐section morphing of wurtzite nanowires to arbitrary shapes (König, Bian, Fu, and Smith, Adv. Theo. Simul. 2025, 8 2400951), the cross‐section shape with the maximum number of nanowire‐internal bonds per nanowire atom is derived, representing the most stable intrinsic crystalline form (structural‐thermodynamic optimum).
Dirk König +4 more
wiley +1 more source
Advanced Theory and Simulations, Volume 9, Issue 6, June 2026.A density functional theory‐based method is introduced to predict the luminescence emission spectra of candidate compounds, including broadening caused by atomic thermal motion. For each snapshot from the molecular dynamics of the Ce‐activated system using the excited‐state electron configuration, the transition energies and probabilities are ...
Satoru Matsuishi +3 more
wiley +1 more source
Noise Spectroscopy of Cavity Polaritons
Advanced Theory and Simulations, Volume 9, Issue 6, June 2026.Advancements in experimental techniques at the nanoscale have given rise to the field of molecular polaritonics. Recent developments report simultaneous measurement of conductance and electroluminescence in such systems. A theoretical method for simulating electron and photon fluxes and noise in open molecular polaritonic systems is formulated by ...
Upendra Harbola, Michael Galperin
wiley +1 more source
Novel semiconductor based light sources
, 2008 The research described in this thesis relates to the design, fabrication and testing of novel semiconductor-based light sources that have been designed for the generation of infra-red light.
McRobbie, Andrew Douglas
core
Progress in Strain Engineering of 2D‐Integrated Heterostructures for Ultrasensitive Sensors
Advanced Science, Volume 13, Issue 33, 15 June 2026.. ABSTRACT Two‐dimensional (2D) integrated heterostructures have emerged as a cornerstone in the advancement of next‐generation sensor technologies. These heterostructures, which combine materials with different dimensionalities, have led to significant breakthroughs in sensing performance and device integration.
That Buu Ton +4 more
wiley +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
Advanced Physics Research, Volume 5, Issue 6, June 2026.A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source