output
20202026
most citedSBSM-Pro: Support Bio-sequence Machine for Proteins

332 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023Show all

5 papers · 1 filter

cond-mat.mes-hall2023★ 30 cited

Tensorial properties via the neuroevolution potential framework: Fast simulation of infrared and Raman spectra

Nan Xu, Petter Rosander, Christian Schäfer +7

Infrared and Raman spectroscopy are widely used for the characterization of gases, liquids, and solids, as the spectra contain a wealth of information concerning in particular the…

cond-mat.mtrl-sci2023★ 203 cited

General-purpose machine-learned potential for 16 elemental metals and their alloys

Keke Song, Rui Zhao, Jiahui Liu +25

Machine-learned potentials (MLPs) have exhibited remarkable accuracy, yet the lack of general-purpose MLPs for a broad spectrum of elements and their alloys limits their applicabil…

cs.IT2023★ 20 cited

Reconfigurable Intelligent Sensing Surface aided Wireless Powered Communication Networks: A Sensing-Then-Reflecting Approach

Cheng Luo, Jie Hu, Luping Xiang +1

This paper presents a reconfigurable intelligent sensing surface (RISS) that combines passive and active elements to achieve simultaneous reflection and direction of arrival (DOA)…

stat.ML2023

Neural Network Driven, Interactive Design for Nonlinear Optical Molecules Based on Group Contribution Method

Jinming Fan, Chao Qian, Shaodong Zhou

A Lewis-mode group contribution method (LGC) -- multi-stage Bayesian neural network (msBNN) -- evolutionary algorithm (EA) framework is reported for rational design of D-Pi-A type…

q-bio.QM2023★ 332 cited

SBSM-Pro: Support Bio-sequence Machine for Proteins

Yizheng Wang, Yixiao Zhai, Yijie Ding +1

Proteins play a pivotal role in biological systems. The use of machine learning algorithms for protein classification can assist and even guide biological experiments, offering cru…