Results 81 to 90 of about 161,256 (270)
Information geometry and the renormalization group [PDF]
1 + 20 Pages, LaTeX. References added, Discussions improved. Version accepted in Phys.
Tapobrata Sarkar+2 more
openaire +4 more sources
CH3O‐PEABr Passivated Quasi‐2D Perovskite BA2Cs4Pb5Br16 Thin Film for Green Light‐Emitting Diodes
Green quasi‐2D perovskite LEDs based on CH3O‐PEABr modified BA2Cs4Pb5Br16 films achieve a peak EQE of 19.47%. The suppressed defect density enables high‐performance electroluminescence, offering a scalable strategy for efficient and durable electroluminescent devices.
Yuxin Liu+5 more
wiley +1 more source
Functional renormalization group flow of massive gravity
We apply the functional renormalization group equation to a massive Fierz–Pauli action in curved space and find that, even though a massive term is a modification in the infrared sector, the mass term modifies the value of the non-gaussian fixed point in
Maximiliano Binder, Iván Schmidt
doaj +1 more source
Renormalization group approach to matrix models via noncommutative space
We develop a new renormalization group approach to the large-N limit of matrix models. It has been proposed that a procedure, in which a matrix model of size (N-1) \times (N-1) is obtained by integrating out one row and column of an N \times N matrix ...
B Wit de+40 more
core +1 more source
2D transition metal dichalcogenides (TMDCs) are promising for next‐gen optoelectronics. Their sensitivity to surroundings affects their electronic behavior. Substrate surfaces are chemically engineered to locally dope and adjust the properties of single layer MoS2 FETs employing self‐assembled monolayers (SAMs) arranged in patterns.
Sarah Grützmacher+4 more
wiley +1 more source
The renormalization group via statistical inference
In physics, one attempts to infer the rules governing a system given only the results of imperfect measurements. Hence, microscopic theories may be effectively indistinguishable experimentally.
Cédric Bény, Tobias J Osborne
doaj +1 more source
Is Deep Learning a Renormalization Group Flow?
Although there has been a rapid development of practical applications, theoretical explanations of deep learning are in their infancy. Deep learning performs a sophisticated coarse graining.
Ellen De Mello Koch+2 more
doaj +1 more source
Renormalization group equations and integrability in Hamiltonian systems
We investigate Hamiltonian systems with two degrees of freedom by using renormalization group method. We show that the original Hamiltonian systems and the renormalization group equations are integrable if the renormalization group equations are ...
Nambu, Yasusada, Yamaguchi, Yoshiyuki Y.
core +2 more sources
Improved Lattice Renormalization Group Techniques [PDF]
We compute the bare step-scaling function $s_b$ for SU(3) lattice gauge theory with $N_f = 12$ massless fundamental fermions, using the non-perturbative Wilson-flow-optimized Monte Carlo Renormalization Group two-lattice matching technique.
Cheng, Anqi+3 more
core +2 more sources
2D transition metal dichalcogenides (TMDCs) are promising for next‐gen electronics. In this work, centimetrer‐sized single‐layer WSe2 is achieved via thermally activated gold‐mediated exfoliation. When integrated into solid‐state electrolyte gating field‐effect transistors, the devices exhibit ambipolar behavior, steep subthreshold swings down to 30 mV
Sarah Grützmacher+6 more
wiley +1 more source