Results 71 to 80 of about 189,782 (285)

Direct Growth of Transparent Boron Nitride Neutron Shielding Layer for Space Window

Advanced Science, EarlyView.
Direct growth of sp2‐sp3 hybridized BN (HBN) on quartz, enabled by an h‐BN buffer, produces transparent and stable films up to 80 µm thick with high transmittance and strong neutron shielding, making HBN a promising candidate for space windows in long‐term lunar missions.
Dobin Kim, Geunpil Kim, Hwijoon Jeong, Sk Mujaffar Hossain, Satadeep Bhattacharjee, Minjae Isaac Kwon, Yeunjeong Lee, Chanhee Yang, Yeong Seok Ham, Taek‐Soo Kim, Hyowon Moon, Inkyu Park, Seung‐Cheol Lee, Jinhwan Kim, Jongbum Kim, Jaehyun Park   +15 more
wiley   +1 more source

Transition matrix Monte Carlo method for quantum systems

, 2003
We propose an efficient method for Monte Carlo simulation of quantum lattice models. Unlike most other quantum Monte Carlo methods, a single run of the proposed method yields the free energy and the entropy with high precision for the whole range of ...
Berg B. A., de Oliveira P. M. C., Evertz H. G., Janke W., Kandel D., Kawashima N., Kawashima N., Lee J., Metropolis N., Sandvik A. W., Sandvik A. W., Swendsen R., Syljuåsen O. F., Troyer M., Wang F., Wang J.-S., Yamaguchi C., Yamaguchi C.   +17 more
core   +1 more source

Lifshitz Transition in Correlated Topological Semimetals

Advanced Science, EarlyView.
Theoretical calculations reveal that in YPtBi and GdPtBi, strong electronic correlations shift topological Dirac nodes away from the Fermi level by forming large hole pockets. This effect is sensitive to temperature and arises from interactions among 4d or 4f electrons, offering insights into Fermi surface engineering in quantum materials.
Byungkyun Kang, Myoung‐Hwan Kim, Chul Hong Park, Anderson Janotti, Eunja Kim   +4 more
wiley   +1 more source

Monte Carlo Based Techniques for Quantum Magnets with Long-Range Interactions

Entropy
Long-range interactions are relevant for a large variety of quantum systems in quantum optics and condensed matter physics. In particular, the control of quantum–optical platforms promises to gain deep insights into quantum-critical properties induced by
Patrick Adelhardt, Jan A. Koziol, Anja Langheld, Kai P. Schmidt   +3 more
doaj   +1 more source

Learning Feynman Diagrams with Tensor Trains

Physical Review X, 2022
We use tensor network techniques to obtain high-order perturbative diagrammatic expansions for the quantum many-body problem at very high precision. The approach is based on a tensor train parsimonious representation of the sum of all Feynman diagrams ...
Yuriel Núñez Fernández, Matthieu Jeannin, Philipp T. Dumitrescu, Thomas Kloss, Jason Kaye, Olivier Parcollet, Xavier Waintal   +6 more
doaj   +1 more source

Comparison of Calculations for the Hubbard model obtained with Quantum-Monte-Carlo, exact and stochastic Diagonalization

, 1997
In this paper we compare numerical results for the ground state of the Hubbard model obtained by Quantum-Monte-Carlo simulations with results from exact and stochastic diagonalizations.
Fettes, Werner, Husslein, Thomas, Morgenstern, Ingo   +2 more
core   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Quantum-enhanced analysis of discrete stochastic processes

npj Quantum Information, 2021
Discrete stochastic processes (DSP) are instrumental for modeling the dynamics of probabilistic systems and have a wide spectrum of applications in science and engineering.
Carsten Blank, Daniel K. Park, Francesco Petruccione   +2 more
doaj   +1 more source

Alternative sampling for variational quantum Monte Carlo

, 2009
Expectation values of physical quantities may accurately be obtained by the evaluation of integrals within Many-Body Quantum mechanics, and these multi-dimensional integrals may be estimated using Monte Carlo methods.
A. J. Izenman, B. V. Gnedenko, D. W. Stroock, E. Fieller, J. R. Trail, R. J. Needs, U. von Luxburg   +6 more
core   +1 more source

Auxiliary Field Diffusion Monte Carlo calculation of nuclei with A<40 with tensor interactions [PDF]

, 2007
We calculate the ground-state energy of 4He, 8He, 16O, and 40Ca using the auxiliary field diffusion Monte Carlo method in the fixed phase approximation and the Argonne v6' interaction which includes a tensor force.
Fantoni, S., Gandolfi, S., Pederiva, F., Schmidt, K. E.   +3 more
core   +1 more source