papers

Publications (5)

physics.comp-ph2023

Application of Machine Learning Method to Model-Based Library Approach to Critical Dimension Measurement by CD-SEM

P. Guo, H. Miao, Y. B. Zou +2

The model-based library (MBL) method has already been established for the accurate measurement of critical dimension (CD) of semiconductor linewidth from a critical dimension scann…

hep-ph2015

Dispersive Analysis of $ω/ϕ\rightarrow 3π,\,πγ^*$

I. V. Danilkin, C. Fernández-Ramírez, P. Guo +4

The decays are considered in the dispersive framework that is based on the isobar decomposition and sub-energy unitarity. The inelastic contributions are par…

physics.atom-ph2013

Positronium in MOFs: the Atom out of the box

P. Crivelli, D. Cooke, B. Barbiellini +6

Recently, evidence for positronium (Ps) in a Bloch state in self-assembled metal--organic frameworks (MOFs) has been reported [Dutta et al., Phys. Rev. Lett. 110, 197403 (2013)]. I…

hep-ph2017

Three-body final state interaction in updated

P. Guo, I. V. Danilkin, C. Fernández-Ramírez +2

In view of the recent high-statistic KLOE data for the decay, a new determination of the quark mass double ratio has been done. Our approach relies on a disp…

cs.LG2021

PILAE: A Non-gradient Descent Learning Scheme for Deep Feedforward Neural Networks

P. Guo, K. Wang, X. L. Zhou

In this work, a non-gradient descent learning (NGDL) scheme was proposed for deep feedforward neural networks (DNN). It is known that an autoencoder can be used as the building blo…