Samuel M. Blau

1.7k total citations
30 papers, 897 citations indexed

About

Samuel M. Blau is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Samuel M. Blau has authored 30 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 10 papers in Electrical and Electronic Engineering and 6 papers in Automotive Engineering. Recurrent topics in Samuel M. Blau's work include Machine Learning in Materials Science (11 papers), Advancements in Battery Materials (8 papers) and Crystal Structures and Properties (6 papers). Samuel M. Blau is often cited by papers focused on Machine Learning in Materials Science (11 papers), Advancements in Battery Materials (8 papers) and Crystal Structures and Properties (6 papers). Samuel M. Blau collaborates with scholars based in United States, Canada and Luxembourg. Samuel M. Blau's co-authors include Kristin A. Persson, Evan Walter Clark Spotte‐Smith, Shyam Dwaraknath, Hetal D. Patel, Mingjian Wen, Xiaowei Xie, Alexander J. Norquist, Christoph Kreisbeck, Alán Aspuru‐Guzik and Gregory D. Scholes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Samuel M. Blau

28 papers receiving 885 citations

Peers

Samuel M. Blau

EEE

CTM

Tamara Husch Switzerland

Evan Walter Clark Spotte‐Smith United States

KyuJung Jun United States

Chien‐Pin Chou Taiwan

Jacob Townsend United States

Yu Xie China

Peter Schiffels Germany

Cyrille Lavigne Canada

Hieu A. Doan United States

Amir Hajibabaei South Korea

Tamara Husch Switzerland

Samuel M. Blau

210 ×0.5

EEE

182 ×0.5

67 ×0.3

68 ×0.5

CTM

49 ×0.4

Citations per year, relative to Samuel M. Blau Samuel M. Blau (= 1×) peers Tamara Husch

Countries citing papers authored by Samuel M. Blau

Since Specialization

Citations

This map shows the geographic impact of Samuel M. Blau's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samuel M. Blau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel M. Blau more than expected).

Fields of papers citing papers by Samuel M. Blau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel M. Blau. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samuel M. Blau. The network helps show where Samuel M. Blau may publish in the future.

Co-authorship network of co-authors of Samuel M. Blau

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel M. Blau. A scholar is included among the top collaborators of Samuel M. Blau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel M. Blau. Samuel M. Blau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cruse, Kevin, Michael G. Taylor, Carolin M. Sutter‐Fella, et al.. (2025). Precursor reaction pathway leading to BiFeO ₃ formation: insights from text-mining and chemical reaction network analyses. Digital Discovery. 4(6). 1602–1611.

Sivonxay, Eric, et al.. (2025). Gradient-based optimization of complex nanoparticle heterostructures enabled by deep learning on heterogeneous graphs. Nature Computational Science. 6(1). 83–95. 1 indexed citations

Weddle, Peter J., Evan Walter Clark Spotte‐Smith, Ankit Verma, et al.. (2024). Continuum-Level Modeling of Li-Ion Battery SEI by Upscaling Atomistically Informed Reaction Mechanisms. ECS Meeting Abstracts. MA2024-01(2). 507–507.

Sivonxay, Eric, et al.. (2024). RNMC: kinetic Monte Carlo implementations for complex reaction networks. The Journal of Open Source Software. 9(104). 7244–7244. 3 indexed citations

Kumar, Anup, Xingyi Guan, Eric Hermes, et al.. (2024). Analytical ab initio hessian from a deep learning potential for transition state optimization. Nature Communications. 15(1). 8865–8865. 15 indexed citations

Weddle, Peter J., Evan Walter Clark Spotte‐Smith, Ankit Verma, et al.. (2023). Continuum-level modeling of Li-ion battery SEI by upscaling atomistically informed reaction mechanisms. Electrochimica Acta. 468. 143121–143121. 6 indexed citations

Wen, Mingjian, Evan Walter Clark Spotte‐Smith, Samuel M. Blau, et al.. (2023). Chemical reaction networks and opportunities for machine learning. Nature Computational Science. 3(1). 12–24. 64 indexed citations

Spotte‐Smith, Evan Walter Clark, Samuel M. Blau, Jason M. Munro, et al.. (2023). A database of molecular properties integrated in the Materials Project. Digital Discovery. 2(6). 1862–1882. 15 indexed citations

Spotte‐Smith, Evan Walter Clark, Samuel M. Blau, Nathan Hahn, et al.. (2023). Chemical Reaction Networks Explain Gas Evolution Mechanisms in Mg-Ion Batteries. Journal of the American Chemical Society. 145(22). 12181–12192. 31 indexed citations

10.

Spotte‐Smith, Evan Walter Clark, et al.. (2022). Predictive stochastic analysis of massive filter-based electrochemical reaction networks. Digital Discovery. 2(1). 123–137. 20 indexed citations

11.

Spotte‐Smith, Evan Walter Clark, et al.. (2022). Elementary Decomposition Mechanisms of Lithium Hexafluorophosphate in Battery Electrolytes and Interphases. ACS Energy Letters. 8(1). 347–355. 118 indexed citations

12.

Wen, Mingjian, Samuel M. Blau, Xiaowei Xie, Shyam Dwaraknath, & Kristin A. Persson. (2022). Improving machine learning performance on small chemical reaction data with unsupervised contrastive pretraining. Chemical Science. 13(5). 1446–1458. 29 indexed citations

13.

Spotte‐Smith, Evan Walter Clark, Xiaowei Xie, Tingzheng Hou, et al.. (2022). Toward a Mechanistic Model of Solid–Electrolyte Interphase Formation and Evolution in Lithium-Ion Batteries. ACS Energy Letters. 7(4). 1446–1453. 93 indexed citations

14.

Spotte‐Smith, Evan Walter Clark, Samuel M. Blau, Xiaowei Xie, et al.. (2021). Quantum chemical calculations of lithium-ion battery electrolyte and interphase species. Scientific Data. 8(1). 203–203. 40 indexed citations

15.

Xie, Xiaowei, Evan Walter Clark Spotte‐Smith, Mingjian Wen, et al.. (2021). Data-Driven Prediction of Formation Mechanisms of Lithium Ethylene Monocarbonate with an Automated Reaction Network. Journal of the American Chemical Society. 143(33). 13245–13258. 54 indexed citations

16.

Blau, Samuel M., Hetal D. Patel, Evan Walter Clark Spotte‐Smith, et al.. (2021). A chemically consistent graph architecture for massive reaction networks applied to solid-electrolyte interphase formation. Chemical Science. 12(13). 4931–4939. 50 indexed citations

17.

Blau, Samuel M., et al.. (2021). Insight into SEI Growth in Li-Ion Batteries using Molecular Dynamics and Accelerated Chemical Reactions. The Journal of Physical Chemistry C. 125(34). 18588–18596. 47 indexed citations

18.

Wen, Mingjian, Samuel M. Blau, Evan Walter Clark Spotte‐Smith, Shyam Dwaraknath, & Kristin A. Persson. (2020). BonDNet: a graph neural network for the prediction of bond dissociation energies for charged molecules. Chemical Science. 12(5). 1858–1868. 77 indexed citations

19.

Spotte‐Smith, Evan Walter Clark, Peiyuan Yu, Samuel M. Blau, Ravi Prasher, & Anubhav Jain. (2020). Aqueous Diels–Alder reactions for thermochemical storage and heat transfer fluids identified using density functional theory. Journal of Computational Chemistry. 41(24). 2137–2150. 5 indexed citations

20.

Olshansky, Jacob H., Samuel M. Blau, Matthias Zeller, Joshua Schrier, & Alexander J. Norquist. (2011). Understanding an Order–Disorder Phase Transition in Ionothermally Synthesized Gallium Phosphates. Crystal Growth & Design. 11(7). 3065–3071. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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