2026 Maria K. Y. Chan: Materials Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Materials Science	44	11921	11526	2765	2568	269	11118

Overview

Maria K. Y. Chan is affiliated with Argonne National Laboratory in the United States. Their research spans numerous aspects of materials science and engineering, with a significant focus on materials chemistry and electrical and electronic engineering.

Their work covers several main fields of study:

Materials Science
Engineering

Within these fields, key subfields of study include:

Materials Chemistry
Electrical and Electronic Engineering
Biomedical Engineering
Radiation
Structural Biology

The main topics of research addressed by Maria K. Y. Chan include:

Machine Learning in Materials Science
Crystallization and Solubility Studies
X-ray Diffraction in Crystallography
Chalcogenide Semiconductor Thin Films
Advanced Electron Microscopy Techniques and Applications
Advanced X-ray and CT Imaging
Electron and X-Ray Spectroscopy Techniques

Some recent papers featuring their research contributions are:

Synthesis of borophane polymorphs through hydrogenation of borophene (2021), published in Science
Origin and regulation of oxygen redox instability in high-voltage battery cathodes (2022), published in Nature Energy
Machine learning in scanning transmission electron microscopy (2022), published in Nature Reviews Methods Primers
Understanding, discovery, and synthesis of 2D materials enabled by machine learning (2022), published in Chemical Society Reviews
Machine learning on neutron and x-ray scattering and spectroscopies (2021), published in Chemical Physics Reviews

The frequent collaborators with whom they have coauthored multiple publications include:

Venkata Surya Chaitanya Kolluru
Luqing Wang
Jianguo Wen
Wenqian Xu
Mercouri G. Kanatzidis

Maria K. Y. Chan's research outputs have appeared in several prominent publication venues, such as:

The Cambridge Structural Database
Microscopy and Microanalysis
arXiv (Cornell University)
MRS Bulletin
npj Computational Materials

Best Publications

Trends in activity for the water electrolyser reactions on 3d M(Ni,Co,Fe,Mn) hydr(oxy)oxide catalysts.

Ram Subbaraman;Dusan Tripkovic;Kee-Chul Chang;Dusan Strmcnik

3011
Citations
Ultralow-loading platinum-cobalt fuel cell catalysts derived from imidazolate frameworks.

Lina Chong;Jianguo Wen;Joseph Kubal;Joseph Kubal;Fatih G. Sen

1032
Citations
Edge-terminated molybdenum disulfide with a 9.4-Å interlayer spacing for electrochemical hydrogen production

Min Rui Gao;Maria K. Y. Chan;Yugang Sun

756
Citations
Hybrid density functional calculations of redox potentials and formation energies of transition metal compounds

Vincent L. Chevrier;Shyue P. Ong;Rickard Armiento;Maria K. Y. Chan

395
Citations
First principles simulations of the electrochemical lithiation and delithiation of faceted crystalline silicon

Maria K. Chan;Christopher M. Wolverton;Jeffrey P. Greeley

315
Citations
First-Principles Analysis of Defect Thermodynamics and Ion Transport in Inorganic SEI Compounds: LiF and NaF.

Handan Yildirim;Alper Kinaci;Maria K Y Chan;Jeffrey P Greeley

272
Citations
Enabling the high capacity of lithium-rich anti-fluorite lithium iron oxide by simultaneous anionic and cationic redox

Chun Zhan;Zhenpeng Yao;Jun Lu;Lu Ma

216
Citations
Synthesis of borophane polymorphs through hydrogenation of borophene.

Qiucheng Li;Venkata Surya Chaitanya Kolluru;Venkata Surya Chaitanya Kolluru;Matthew S. Rahn;Eric Schwenker;Eric Schwenker

209
Citations
Origin and regulation of oxygen redox instability in high-voltage battery cathodes

Unknown

203
Citations
First-principles electronic structure and relative stability of pyrite and marcasite: Implications for photovoltaic performance

Ruoshi Sun;M. K. Y. Chan;M. K. Y. Chan;G. Ceder

173
Citations
On the Origin of Photoluminescence in Silicon Nanocrystals: Pressure-Dependent Structural and Optical Studies

Daniel C. Hannah;Jihua Yang;Paul Podsiadlo;Maria K.Y. Chan

168
Citations
First-principles analysis of defect-mediated Li adsorption on graphene.

Handan Yildirim;Alper Kinaci;Zhi-Jian Zhao;Maria K. Y. Chan

161
Citations
Towards first-principles based prediction of highly accurate electrochemical Pourbiax diagrams

Zhenhua Zeng;Maria Chan;Jeff Greeley

155
Citations
Understanding, discovery, and synthesis of 2D materials enabled by machine learning

Unknown

152
Citations
Machine Learning Force Field Parameters from Ab Initio Data

Ying Li;Hui Li;Frank C. Pickard;Badri Narayanan

148
Citations
Prediction of semiconductor band edge positions in aqueous environments from first principles

Yabi Wu;M. K. Y. Chan;M. K. Y. Chan;G. Ceder

140
Citations
Machine Learning Classical Interatomic Potentials for Molecular Dynamics from First-Principles Training Data

Henry Chan;Badri Narayanan;Badri Narayanan;Mathew J. Cherukara;Fatih G. Sen

137
Citations
Synthesis, Characterization, and Structural Modeling of High-Capacity, Dual Functioning MnO2 Electrode/Electrocatalysts for Li-O2 Cells

Lynn Trahey;Naba K. Karan;Maria K. Y. Chan;Jun Lu

135
Citations
Theory of Thermal Relaxation of Electrons in Semiconductors.

Sridhar Sadasivam;Maria K. Y. Chan;Pierre Darancet

127
Citations
Dopant Modulated Li Insertion in Si for Battery Anodes: Theory and Experiment

Brandon R. Long;Maria K. Y. Chan;Jeffrey P. Greeley;Andrew A. Gewirth

109
Citations
Ab Initio-Based Bond Order Potential to Investigate Low Thermal Conductivity of Stanene Nanostructures.

Mathew J. Cherukara;Badri Narayanan;Alper Kinaci;Kiran Sasikumar

106
Citations
Intrinsic stoichiometry and oxygen-induced p -type conductivity of pyrite FeS 2

Ruoshi Sun;M. K. Y. Chan;M. K. Y. Chan;ShinYoung Kang (강신영);G. Ceder

87
Citations
Towards accurate prediction of catalytic activity in IrO2 nanoclusters via first principles-based variable charge force field

F. G. Sen;A. Kinaci;B. Narayanan;S. K. Gray;S. K. Gray

76
Citations