Strassen’s local law of the iterated logarithm for the generalized fractional Brownian motion

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, Yimin Xiao, , , | Summary: Let $X:={X(t)}_{tge0}$ be a generalized fractional Brownian motion: $$ {X(t)}_{tge0}overset{d}{=}left{ int_{mathbb R} left((t-u)_+^{alpha}-(-u)_+^{alpha} right) |u|^{-gamma/2} B(du) right}_{tge0}, $$ with parameters $gamma in (0, 1)$ and $alphain left(-1/2+ gamma/2, , 1/2+ gamma/2 right)$. This is a self-similar Gaussian process introduced […]


Continue.. Strassen’s local law of the iterated logarithm for the generalized fractional Brownian motion

Magnon spintronics with Van der Waals magnets: from fundamentals to devices

Kavli Affiliate: Toeno Van Der Sar | First 5 Authors: Samuel MaƱas-Valero, Toeno van der Sar, Rembert A. Duine, Bart van Wees, | Summary: Spintronics is concerned with replacing charge current with current of spin, the electron’s intrinsic angular momentum. In magnetic insulators, spin currents are carried by magnons, the quanta of spin-wave excitations on […]


Continue.. Magnon spintronics with Van der Waals magnets: from fundamentals to devices

Morph: A Motion-free Physics Optimization Framework for Human Motion Generation

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Mingshuang Luo, Ruibing Hou, Xin Zhao, Hao Liu | Summary: Human motion generation plays a vital role in applications such as digital humans and humanoid robot control. However, most existing approaches disregard physics constraints, leading to the frequent production of physically implausible motions with pronounced […]


Continue.. Morph: A Motion-free Physics Optimization Framework for Human Motion Generation

Morph: A Motion-free Physics Optimization Framework for Human Motion Generation

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Mingshuang Luo, Ruibing Hou, Xin Zhao, Hao Liu | Summary: Human motion generation plays a vital role in applications such as digital humans and humanoid robot control. However, most existing approaches disregard physics constraints, leading to the frequent production of physically implausible motions with pronounced […]


Continue.. Morph: A Motion-free Physics Optimization Framework for Human Motion Generation

Bayesian inference of strangeon matter using the measurements of PSR J0437-4715 and GW190814

Kavli Affiliate: Renxin Xu | First 5 Authors: Wen-Li Yuan, Chun Huang, Chen Zhang, Enping Zhou, Renxin Xu | Summary: The observations of compact star inspirals from LIGO/Virgo combined with mass and radius measurements from NICER provide a valuable tool to study the highly uncertain equation of state (EOS) of dense matter at the densities […]


Continue.. Bayesian inference of strangeon matter using the measurements of PSR J0437-4715 and GW190814

Bayesian inference of strangeon matter using the measurements of J0437-4751 and GW190814

Kavli Affiliate: Renxin Xu | First 5 Authors: Wen-Li Yuan, Chun Huang, Chen Zhang, Enping Zhou, Renxin Xu | Summary: The observations of compact star inspirals from LIGO/Virgo combined with mass and radius measurements from NICER provide a valuable tool to study the highly uncertain equation of state (EOS) of dense matter at the densities […]


Continue.. Bayesian inference of strangeon matter using the measurements of J0437-4751 and GW190814

Bayesian “Deep” Process Convolutions: An Application in Cosmology

Kavli Affiliate: Salman Habib | First 5 Authors: Kelly R. Moran, Richard Payne, Earl Lawrence, David Higdon, Stephen A. Walsh | Summary: The nonlinear matter power spectrum in cosmology describes how matter density fluctuations vary with scale in the universe, providing critical insights into large-scale structure formation. The matter power spectrum includes both smooth regions […]


Continue.. Bayesian “Deep” Process Convolutions: An Application in Cosmology

Bayesian “Deep” Process Convolutions: An Application in Cosmology

Kavli Affiliate: Salman Habib | First 5 Authors: Kelly R. Moran, Richard Payne, Earl Lawrence, David Higdon, Stephen A. Walsh | Summary: The nonlinear matter power spectrum in cosmology describes how matter density fluctuations vary with scale in the universe, providing critical insights into large-scale structure formation. The matter power spectrum includes both smooth regions […]


Continue.. Bayesian “Deep” Process Convolutions: An Application in Cosmology