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
Oscillator-qubit generalized quantum signal processing: a case study of the uracil cation vibronic model. [PDF]
Hong J, Kim SH, Min SK, Huh J.
europepmc +1 more source
Noise Spectroscopy of Cavity Polaritons
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
Unraveling the Relevant Length and Time Scales of Elastomers in a High Strain Rate Test. [PDF]
Evans KM +4 more
europepmc +1 more source
Energy‐Resolved Femtosecond Dynamics of Plasmon‐Induced Hole Injection at Au/GaN Heterointerfaces
We reveal the spectral signature of ultrafast nonthermal hot‐hole transfer at plasmonic heterointerfaces, which reshapes hot‐carrier relaxation dynamics and significantly enhances hydrogen evolution, providing a mechanistic basis for optimizing hot‐carrier utilization in photocatalysis.
Yuying Gao +8 more
wiley +1 more source
A First-Principles Thermodynamic Uncertainty Relation for Shortcuts to Adiabaticity. [PDF]
Perna GE, Centrone F, Calzetta E.
europepmc +1 more source
Progress in Strain Engineering of 2D‐Integrated Heterostructures for Ultrasensitive Sensors
. 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
Analytical solution of driven time-dependent mesoscopic circuits. [PDF]
Ma J +5 more
europepmc +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
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
<i>PyCycleBio</i>: modelling non-sinusoidal-oscillator systems in temporal biology. [PDF]
Bennett AR, Birchenough G, Bojar D.
europepmc +1 more source

