Mitchell Wood

2.7k citations

53 papers · 1.9k indexed · 1 hit paper · h-index 18

Impact in

Materials Chemistry top 5%
- Machine Learning in Materials Science
- Ferroelectric and Piezoelectric Materials
- X-ray Diffraction in Crystallography
Metals and Alloys top 10%

Papers in ⓘ

Materials Chemistry 33
- Machine Learning in Materials Science 15
- Nuclear Materials and Properties 7
- X-ray Diffraction in Crystallography 6
- Fusion materials and technologies 5
Mechanics of Materials 9
- Energetic Materials and Combustion 8

Co-authors: Aidan P. Thompson (18 shared papers)Alejandro Strachan (5 shared papers)Xiangguo Li (1 shared paper)Alexander V. Shapeev (1 shared paper)Yunxing Zuo (1 shared paper)Shyue Ping Ong (1 shared paper)Chi Chen (1 shared paper)Jörg Behler (1 shared paper)
Journals: Journal of Applied Physics (4 papers)The Journal of Physical Chemistry A (4 papers)Physical review. B. (4 papers)The Journal of Physical Chemistry Letters (3 papers)npj Computational Materials (2 papers)
Partner nations: United States France United Kingdom

In The Last Decade

Mitchell Wood

47 papers receiving 1.9k citations

Hit Papers

align trajectories log scale

Performance and Cost Assessment of Machine Learning Interatomic Potentials 2020 · 617 citations

Peers

Countries citing papers authored by Mitchell Wood

Since Specialization

Citations

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

Fields of papers citing papers by Mitchell Wood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell Wood. 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 Mitchell Wood. The network helps show where Mitchell Wood may publish in the future.

Co-authors

The 25 scholars most cited alongside Mitchell Wood, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mitchell Wood Line = papers co-authored together Mitchell Wood links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Performance and Cost Assessment of Machine Learning Interatomic Potentials The Journal of Physical Chemistry A ·Yunxing Zuo, Chi Chen, Xiangguo Li, Zhi Deng, Yiming Chen, Jörg Behler, Gábor Cśanyi, Alexander V. Shapeev, Aidan P. Thompson, Mitchell Wood, Shyue Ping Ong Hit paper breakdown →	2020	617
2	Structure–property relationships in pure and acceptor-doped Ba1−xSrxTiO3 thin films for tunable microwave device applications Journal of Applied Physics ·M. W. Cole, C. Hubbard, E. Ngo, M. H. Ervin, Mitchell Wood, R.G. Geyer	2002	175
3	Coupled Thermal and Electromagnetic Induced Decomposition in the Molecular Explosive αHMX; A Reactive Molecular Dynamics Study The Journal of Physical Chemistry A ·Mitchell Wood, Adri C. T. van Duin, Alejandro Strachan	2014	130
4	Ultrafast Chemistry under Nonequilibrium Conditions and the Shock to Deflagration Transition at the Nanoscale The Journal of Physical Chemistry C ·Mitchell Wood, Mathew J. Cherukara, Edward M. Kober, Alejandro Strachan	2015	106
5	Thermodynamically consistent physics-informed neural networks for hyperbolic systems Journal of Computational Physics ·Ravi G. Patel, Indu Manickam, Nathaniel Trask, Mitchell Wood, Myoungkyu Lee, Ignacio Tomaš, Eric C. Cyr	2021	103
6	Multiscale modeling of shock wave localization in porous energetic material Physical review. B. ·Mitchell Wood, David E. Kittell, Cole Yarrington, Aidan P. Thompson	2018	103
7	The detailed kinetics and mechanism of ethyl ethanoate synthesis over a Cu/Cr2O3 catalyst Journal of Catalysis ·Saul E. Colley, Javad Tabatabaei, K.C. Waugh, Mitchell Wood	2005	71
8	A physics-informed operator regression framework for extracting data-driven continuum models Computer Methods in Applied Mechanics and Engineering ·Ravi G. Patel, Nathaniel Trask, Mitchell Wood, Eric C. Cyr	2020	64
9	Data-driven material models for atomistic simulation Physical review. B. ·Mitchell Wood, Mary Alice Cusentino, Brian D. Wirth, Aidan P. Thompson	2019	54
10	Explicit Multielement Extension of the Spectral Neighbor Analysis Potential for Chemically Complex Systems The Journal of Physical Chemistry A ·Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson	2020	45
11	Machine learning interatomic potential for simulations of carbon at extreme conditions Physical review. B. ·Jonathan Willman, Kien Nguyen-Cong, Ashley Williams, A. B. Belonoshko, Stan Moore, Aidan P. Thompson, Mitchell Wood, Ivan Oleynik	2022	41
12	Training data selection for accuracy and transferability of interatomic potentials npj Computational Materials ·David Montes de Oca Zapiain, Mitchell Wood, Nicholas Lubbers, Carlos Z. Pereyra, Aidan P. Thompson, Danny Pérez	2022	39
13	Compositional and structural origins of radiation damage mitigation in high-entropy alloys Journal of Applied Physics ·Mary Alice Cusentino, Mitchell Wood, Rémi Dingreville	2020	35
14	Evaluation of Ta2O5 as a buffer layer film for integration of microwave tunable Ba1−xSrxTiO3 based thin films with silicon substrates Journal of Applied Physics ·M. W. Cole, P. C. Joshi, Matthew H. Ervin, Mitchell Wood, Robert Pfeffer	2002	35
15	Atmospheric nitrogen deposition at a conifer forest: response of free amino acids in Engelmann spruce needles Environmental Pollution ·J. Calanni, Elias Berg, Mitchell Wood, D. Mangis, Richard L. Boyce, Walter Weathers, H. Sievering	1999	34
16	Billion atom molecular dynamics simulations of carbon at extreme conditions and experimental time and length scales Kien Nguyen-Cong, Jonathan Willman, Stan Moore, A. B. Belonoshko, Rahulkumar Gayatri, Evan Weinberg, Mitchell Wood, Aidan P. Thompson, Ivan Oleynik	2021	32
17	FitSNAP: Atomistic machine learning with LAMMPS The Journal of Open Source Software ·Andrew Rohskopf, C. Sievers, Nicholas Lubbers, Mary Alice Cusentino, James Goff, Jan Janßen, Megan McCarthy, David Montes de Oca Zapiain, Svetoslav Nikolov, Khachik Sargsyan, Dionysios Sema, Ember Sikorski, Logan Williams, Aidan P. Thompson, Mitchell Wood	2023	30
18	Imaging with Ion Beams and Laser Postionization Analytical Chemistry ·Mitchell Wood, Yangbo Zhou, Christopher L. Brummel, Nicholas Winograd	1994	23
19	Molecular Dynamics Simulations of Shock Loading of Materials: A Review and Tutorial Mitchell Wood, Mathew J. Cherukara, E. Antillon, Alejandro Strachan	2017	16
20	Machine learned interatomic potential for dispersion strengthened plasma facing components The Journal of Chemical Physics ·Ember Sikorski, Mary Alice Cusentino, Megan McCarthy, Julien Tranchida, Mitchell Wood, Aidan P. Thompson	2023	15

About Mitchell Wood

Mitchell Wood is a scholar working on Materials Chemistry, Mechanics of Materials, Geophysics, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (15 papers), High-pressure geophysics and materials (9 papers), Energetic Materials and Combustion (8 papers), Nuclear Materials and Properties (7 papers), X-ray Diffraction in Crystallography (6 papers), Fusion materials and technologies (5 papers), Ion-surface interactions and analysis (4 papers) and Model Reduction and Neural Networks (4 papers). The work is most often cited by research in Materials Chemistry (1.3k citations), Metals and Alloys (41 citations), Geophysics (208 citations), Mechanics of Materials (337 citations) and Structural Biology (19 citations). Mitchell Wood has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Aidan P. Thompson, Alejandro Strachan, Xiangguo Li, Alexander V. Shapeev, Yunxing Zuo, Shyue Ping Ong, Chi Chen, Jörg Behler, Zhi Deng and Gábor Cśanyi. Their work appears in journals such as Journal of Applied Physics, The Journal of Physical Chemistry A, Physical review. B., The Journal of Physical Chemistry Letters and npj Computational Materials.

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