• Publications
  • Influence
Performance of $b$-Jet Identification in the ATLAS Experiment
The identification of jets containing b hadrons is important for the physics programme of the ATLAS experiment at the Large Hadron Collider. Several algorithms to identify jets containing b hadronsExpand
AIR-Chem: Authentic Intelligent Robotics for Chemistry.
  • Jiagen Li, Y. Lu, +7 authors X. Zhu
  • Chemistry, Medicine
  • The journal of physical chemistry. A
  • 5 November 2018
The new era with prosperous artificial intelligence (AI) and robotics technology is reshaping the materials discovery process in a more radical fashion. Here we present authentic intelligent roboticsExpand
Symmetrical Graph Neural Network for Quantum Chemistry with Dual Real and Momenta Space.
Most of the current neural network models in quantum chemistry (QC) exclude the molecular symmetry and separate the well-correlated real space (R space) and momenta space (K space) into twoExpand
QM-symex, update of the QM-sym database with excited state information for 173 kilo molecules
In the research field of material science, quantum chemistry database plays an indispensable role in determining the structure and properties of new material molecules and in deep learning in thisExpand
Tensor Network for Supervised Learning at Finite Temperature
TLDR
We introduce the finite temperature tensor network (FTTN), which imports the thermal perturbation into the matrix product states framework by placing all images in an environment with constant temperature, in analog to energy-based learning. Expand
Analysis of the Dynamical Biological Objects of Optical Microscopy
Abstract We generalize the experience of the applied and theoretical investigations performed in the last 7‒8 years, including the generated algorithms and procedures for analyzing the behavior ofExpand
Pixel Chem: A Representation for Predicting Material Properties with Neural Network