Results 61 to 70 of about 9,523,503 (222)

Mode‐Resolved Phonon Dynamics Under Chemical Pressure in SnTe Thermoelectrics

Advanced Science, EarlyView.
Chemical pressure reshapes low‐energy optical phonons in SnTe, altering their dispersion and scattering with heat‐carrying acoustic modes. Positive and negative pressure states modify phonon frequencies and lifetimes in distinct ways, revealing how mode‐selective lattice perturbations regulate acoustic–optical interactions and suppress lattice thermal ...
Zhihao Li, Jianhong Hu, Panpan Peng, Peng Cao, Hui Zhang, Yujie Zong, Yanhui Wu, Hongchao Wang   +7 more
wiley   +1 more source

Sphere free energy of scalar field theories with cubic interactions

Journal of High Energy Physics
The dimensional continuation approach to calculating the free energy of d-dimensional Euclidean CFT on the round sphere S d has been used to develop its 4 – ϵ expansion for a number of well-known non-supersymmetric theories, such as the O(N) model.
Simone Giombi, Elizabeth Himwich, Andrei Katsevich, Igor Klebanov, Zimo Sun   +4 more
doaj   +1 more source

The renormalization group via statistical inference

New Journal of Physics, 2015
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

Renormalization group in super-renormalizable quantum gravity

European Physical Journal C: Particles and Fields, 2018
One of the main advantages of super-renormalizable higher derivative quantum gravity models is the possibility to derive exact beta functions, by making perturbative one-loop calculations.
Leonardo Modesto, Lesław Rachwał, Ilya L. Shapiro   +2 more
doaj   +1 more source

LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides

Advanced Science, EarlyView.
An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu, Congran Jia, Yuzhou Hao, Xuejie Li, Yang Wang, Artem Oganov, Jun Sun, Xiangdong Ding, Turab Lookman, Zhibin Gao   +9 more
wiley   +1 more source

Renormalization group procedure for potential −g/r2

Physics Letters B, 2018
Schrödinger equation with potential −g/r2 exhibits a limit cycle, described in the literature in a broad range of contexts using various regularizations of the singularity at r=0. Instead, we use the renormalization group transformation based on Gaussian
S.M. Dawid, R. Gonsior, J. Kwapisz, K. Serafin, M. Tobolski, S.D. Głazek   +5 more
doaj   +1 more source

Renormalization Group Methods [PDF]

, 2018
This is an introduction to renormalization group methods in quantum field theory aimed at philosophers of science. review path integral methods, the relationship between early renormalization theory and renormalization group methods, and conceptual ...
Williams, Porter
core  

Momentum-space Monte Carlo renormalization-group procedure

, 1991
We implement a momentum-space renormalization-group procedure into the Monte Carlo renormalization-group (MCRG) method. Usually the symmetries of the system must be known and incorporated into the renormalization group, but here we let the ...
Münger, Peter,, NOVOTNY, MA,, M. A. Novotny, E. P. Münger   +3 more
core   +1 more source

CausalCellInfer: Prioritizing Cell‐Type‐Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts

Advanced Science, EarlyView.
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin, Yujia Shi, Ruoyu Zhang, Yong Xiang, Jinghong Qiu, Pak‐Chung Sham, Hon‐Cheong So   +6 more
wiley   +1 more source

Time-Dependent Real-Space Renormalization Group Method [PDF]

Journal of Sciences, Islamic Republic of Iran, 2005
In this paper, using the tight-binding model, we extend the real-space renormalization group method to time-dependent Hamiltonians. We drive the time-dependent recursion relations for the renormalized tight-binding Hamiltonian by decimating selective ...
doaj