Paul Rulis

Paul Rulis

University of Missouri-Kansas City

H-index: 33

North America-United States

About Paul Rulis

Paul Rulis, With an exceptional h-index of 33 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Missouri-Kansas City, specializes in the field of Electronic structure, spectroscopic characterization, mesoscale modeling, protein structure prediction.

His recent articles reflect a diverse array of research interests and contributions to the field:

First-principles calculation of lattice distortion, electronic structure, and bonding properties of GeTe-based and PbSe-based high-entropy chalcogenides

Machine Learning Potential Function Generation for ab initio Electronic Structure Calculations

A New Machine Learned Interatomic Potential for Simulating the Effect of Alloying Content on the Alpha-Beta Transition Range of Ti-Al-V

First-principles calculations of the structural, electronic, optical, and mechanical properties of 21 pyrophosphate crystals

First-principles calculations of thermoelectric transport properties of quaternary and ternary bulk chalcogenide crystals

Application of Machine Learning to the Development of Ti Interatomic Potentials

Direct Determination of Medium Range Ordering in Amorphous Hydrogenated Boron Carbide for Low-k Dielectric Applications

Role of generated free radicals in synthesis of amorphous hydrogenated boron carbide from orthocarborane using argon bombardment: a ReaxFF molecular dynamics study

Paul Rulis Information

University

Position

Department of Physics and Astronomy

Citations(all)

3079

Citations(since 2020)

1027

Cited By

2548

hIndex(all)

33

hIndex(since 2020)

18

i10Index(all)

57

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Paul Rulis Skills & Research Interests

Electronic structure

spectroscopic characterization

mesoscale modeling

protein structure prediction

Top articles of Paul Rulis

First-principles calculation of lattice distortion, electronic structure, and bonding properties of GeTe-based and PbSe-based high-entropy chalcogenides

Journal of Applied Physics

2024/2/28

Machine Learning Potential Function Generation for ab initio Electronic Structure Calculations

2023/7/23

Paul Rulis
Paul Rulis

H-Index: 21

A New Machine Learned Interatomic Potential for Simulating the Effect of Alloying Content on the Alpha-Beta Transition Range of Ti-Al-V

APS March Meeting Abstracts

2023

First-principles calculations of the structural, electronic, optical, and mechanical properties of 21 pyrophosphate crystals

Philosophical Magazine

2016/6/2

First-principles calculations of thermoelectric transport properties of quaternary and ternary bulk chalcogenide crystals

Materials

2022/4/13

Application of Machine Learning to the Development of Ti Interatomic Potentials

APS March Meeting Abstracts

2022

Direct Determination of Medium Range Ordering in Amorphous Hydrogenated Boron Carbide for Low-k Dielectric Applications

Microscopy and Microanalysis

2020/8

Role of generated free radicals in synthesis of amorphous hydrogenated boron carbide from orthocarborane using argon bombardment: a ReaxFF molecular dynamics study

Materials Research Express

2020/3/6

Origin of the existence of inter‐granular glassy films in β‐Si3N4

Journal of the American Ceramic Society

2020/2

See List of Professors in Paul Rulis University(University of Missouri-Kansas City)