Dylan M. Anstine

1.1k total citations · 3 hit papers
24 papers, 618 citations indexed

About

Dylan M. Anstine is a scholar working on Materials Chemistry, Mechanical Engineering and Inorganic Chemistry. According to data from OpenAlex, Dylan M. Anstine has authored 24 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 8 papers in Mechanical Engineering and 7 papers in Inorganic Chemistry. Recurrent topics in Dylan M. Anstine's work include Machine Learning in Materials Science (10 papers), Membrane Separation and Gas Transport (8 papers) and Metal-Organic Frameworks: Synthesis and Applications (7 papers). Dylan M. Anstine is often cited by papers focused on Machine Learning in Materials Science (10 papers), Membrane Separation and Gas Transport (8 papers) and Metal-Organic Frameworks: Synthesis and Applications (7 papers). Dylan M. Anstine collaborates with scholars based in United States, Germany and Qatar. Dylan M. Anstine's co-authors include Olexandr Isayev, Coray M. Colina, David S. Sholl, R.I. Zubatyuk, Dai Tang, Randall Q. Snurr, Grit Kupgan, Zhenzi Yu, Chenkai Gu and Salah Eddine Boulfelfel and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Physical Chemistry B.

In The Last Decade

Dylan M. Anstine

22 papers receiving 610 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Generative Models as an Emerging Paradigm in the Chemical Sciences

2023 170 citations Dylan M. Anstine, Olexandr Isayev Journal of the American Chemical Society profile →
Machine Learning Interatomic Potentials and Long-Range Physics

2023 118 citations Dylan M. Anstine, Olexandr Isayev The Journal of Physical Chemistry A profile →
AIMNet2: a neural network potential to meet your neutral, charged, organic, and elemental-organic needs

2025 42 citations Dylan M. Anstine, R.I. Zubatyuk et al. Chemical Science profile →

Peers

Dylan M. Anstine

CTM

Pei‐Lin Kang China

Daniel W. Trahan United States

Daniel Schwalbe‐Koda United States

William T. Darrow United States

Senja Barthel Switzerland

Samuel M. Blau United States

Jan Kaczmarczyk Poland

Ramdas S. Pophale United States

Daniel M. Packwood Japan

Andres Ortega‐Guerrero Switzerland

Pei‐Lin Kang China

Dylan M. Anstine

601 ×1.6

121 ×0.8

CTM

67 ×0.5

93 ×0.9

51 ×0.6

Citations per year, relative to Dylan M. Anstine Dylan M. Anstine (= 1×) peers Pei‐Lin Kang

Countries citing papers authored by Dylan M. Anstine

Since Specialization

Citations

This map shows the geographic impact of Dylan M. Anstine'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 Dylan M. Anstine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan M. Anstine more than expected).

Fields of papers citing papers by Dylan M. Anstine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dylan M. Anstine. 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 Dylan M. Anstine. The network helps show where Dylan M. Anstine may publish in the future.

Co-authorship network of co-authors of Dylan M. Anstine

This figure shows the co-authorship network connecting the top 25 collaborators of Dylan M. Anstine. A scholar is included among the top collaborators of Dylan M. Anstine 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 Dylan M. Anstine. Dylan M. Anstine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kalita, Bhupalee, R.I. Zubatyuk, Dylan M. Anstine, et al.. (2025). AIMNet2‐NSE: A Transferable Reactive Neural Network Potential for Open‐Shell Chemistry. Angewandte Chemie International Edition. 65(5). e16763–e16763.

Zubatyuk, R.I., et al.. (2025). Efficient Molecular Crystal Structure Prediction and Stability Assessment with AIMNet2 Neural Network Potentials. Crystal Growth & Design. 25(21). 9092–9106. 1 indexed citations

Anstine, Dylan M., et al.. (2025). Design of Tough 3D Printable Elastomers with Human‐in‐the‐Loop Reinforcement Learning. Angewandte Chemie International Edition. 64(36). e202513147–e202513147.

Anstine, Dylan M., et al.. (2025). Anticipating the Selectivity of Intramolecular Cyclization Reaction Pathways with Neural Network Potentials. Journal of Chemical Theory and Computation. 21(20). 10362–10372. 1 indexed citations

Yang, Anna, Brandon C. Bukowski, Dylan M. Anstine, et al.. (2023). Defect engineering of porous aromatic frameworks via end capping improves dioxane removal from water. Matter. 6(7). 2263–2273. 13 indexed citations

Zhao, Qiyuan, Dylan M. Anstine, Olexandr Isayev, & Brett M. Savoie. (2023). Δ ² machine learning for reaction property prediction. Chemical Science. 14(46). 13392–13401. 17 indexed citations

Anstine, Dylan M. & Olexandr Isayev. (2023). Generative Models as an Emerging Paradigm in the Chemical Sciences. Journal of the American Chemical Society. 145(16). 8736–8750. 170 indexed citations breakdown →

Anstine, Dylan M. & Olexandr Isayev. (2023). Machine Learning Interatomic Potentials and Long-Range Physics. The Journal of Physical Chemistry A. 127(11). 2417–2431. 118 indexed citations breakdown →

Anstine, Dylan M., et al.. (2022). PEGDA hydrogel structure from semi-dilute concentrations: insights from experiments and molecular simulations. Soft Matter. 18(18). 3565–3574. 20 indexed citations

10.

Anstine, Dylan M., David S. Sholl, J. Ilja Siepmann, et al.. (2022). In silico design of microporous polymers for chemical separations and storage. Current Opinion in Chemical Engineering. 36. 100795–100795. 7 indexed citations

11.

Anstine, Dylan M., et al.. (2022). Temperature Effects in Flexible Adsorption Processes for Amorphous Microporous Polymers. The Journal of Physical Chemistry B. 126(33). 6354–6365. 12 indexed citations

12.

Anstine, Dylan M., Dai Tang, David S. Sholl, & Coray M. Colina. (2021). Adsorption space for microporous polymers with diverse adsorbate species. npj Computational Materials. 7(1). 21 indexed citations

13.

Yu, Zhenzi, Dylan M. Anstine, Salah Eddine Boulfelfel, et al.. (2021). Incorporating Flexibility Effects into Metal–Organic Framework Adsorption Simulations Using Different Models. ACS Applied Materials & Interfaces. 13(51). 61305–61315. 39 indexed citations

14.

Anstine, Dylan M., Alejandro Strachan, & Coray M. Colina. (2020). Effects of an atomistic modeling approach on predicted mechanical properties of glassy polymers via molecular dynamics. Modelling and Simulation in Materials Science and Engineering. 28(2). 25006–25006. 16 indexed citations

15.

Anstine, Dylan M., et al.. (2020). Sulfonyl PIM‐1: A diverse separation membrane with dilation resistance. AIChE Journal. 67(3). 5 indexed citations

16.

Anstine, Dylan M., et al.. (2020). An Insight into Structural and Mechanical Properties of Ideal‐Networked Poly(Ethylene Glycol)–Peptide Hydrogels from Molecular Dynamics Simulations. Macromolecular Chemistry and Physics. 221(3). 11 indexed citations

17.

Anstine, Dylan M. & Coray M. Colina. (2020). Sorption‐induced polymer rearrangement: approaches from molecular modeling. Polymer International. 70(7). 984–989. 14 indexed citations

18.

Kupgan, Grit, et al.. (2018). A molecular dynamics study of water-soluble polymers: analysis of force fields from atomistic simulations. Molecular Simulation. 45(4-5). 310–321. 27 indexed citations

19.

Anstine, Dylan M., et al.. (2017). Effects of exchange-correlation potentials on the density-functional description of C60 versus C240 photoionization. Physical review. A. 95(2). 14 indexed citations

20.

Werlé, Christophe, Dylan M. Anstine, Lydia Karmazin, et al.. (2015). New Pd(ii) hemichelates devoid of incipient bridging CO⋯Pd interactions. Dalton Transactions. 45(2). 607–617. 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.

Explore authors with similar magnitude of impact