James P. Darby

666 total citations
11 papers, 218 citations indexed

About

James P. Darby is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Inorganic Chemistry. According to data from OpenAlex, James P. Darby has authored 11 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 5 papers in Computational Theory and Mathematics and 3 papers in Inorganic Chemistry. Recurrent topics in James P. Darby's work include Machine Learning in Materials Science (9 papers), X-ray Diffraction in Crystallography (6 papers) and Computational Drug Discovery Methods (5 papers). James P. Darby is often cited by papers focused on Machine Learning in Materials Science (9 papers), X-ray Diffraction in Crystallography (6 papers) and Computational Drug Discovery Methods (5 papers). James P. Darby collaborates with scholars based in United Kingdom, Canada and Japan. James P. Darby's co-authors include Gábor Cśanyi, James R. Kermode, Andrew J. Morris, A. Miguel, Mihails Arhangelskis, Albert P. Bartók, Tomislav Friščić, Joseph M. Marrett, Christoph Ortner and Hatem M. Titi and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Angewandte Chemie International Edition.

In The Last Decade

James P. Darby

10 papers receiving 214 citations

Peers

Countries citing papers authored by James P. Darby

Since Specialization

Citations

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

Fields of papers citing papers by James P. Darby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James P. Darby. 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 James P. Darby. The network helps show where James P. Darby may publish in the future.

Co-authorship network of co-authors of James P. Darby

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Easily Water‐Synthesisable Iron‐Chloranilate Frameworks as High Energy and High‐Power Cathodes for Sustainable Alkali‐Ion Batteries 2025 ·Angewandte Chemie International Edition ·(unknown), James P. Darby, Matthew J. Cliffe, J. S. Garitaonandía, (unknown), Andrew J. Morris, Javier Carretero‐González, (unknown)	0
2	Structure prediction of stable sodium germanides at 0 and 10 GPa 2024 ·Physical Review Materials ·James P. Darby, (unknown), J. Nelson, Andrew J. Morris	4
3	Experimentally Validated Ab Initio Crystal Structure Prediction of Novel Metal–Organic Framework Materials 2023 ·Journal of the American Chemical Society ·(unknown), Joseph M. Marrett, Hatem M. Titi, James P. Darby, Andrew J. Morris, Tomislav Friščić, Mihails Arhangelskis	26
4	ACEpotentials.jl: A Julia implementation of the atomic cluster expansion 2023 ·The Journal of Chemical Physics ·William C. Witt, Cas van der Oord, (unknown), (unknown), (unknown), James P. Darby, (unknown), William J. Baldwin, (unknown), James R. Kermode, Noam Bernstein, Gábor Cśanyi, Christoph Ortner	28
5	Tensor-Reduced Atomic Density Representations 2023 ·Physical Review Letters ·James P. Darby, Dávid Péter Kovács, Ilyes Batatia, A. Miguel, Gus L. W. Hart, Christoph Ortner, Gábor Csányi	26
6	Gaussian approximation potentials: Theory, software implementation and application examples 2023 ·The Journal of Chemical Physics ·(unknown), James P. Darby, James R. Kermode, Gábor Cśanyi, A. Miguel, Albert P. Bartók	37
7	Leveraging genetic algorithms to maximise the predictive capabilities of the SOAP descriptor 2022 ·Molecular Systems Design & Engineering ·(unknown), (unknown), James P. Darby, Albert P. Bartók, Anders Broo, Gabriele C. Sosso	13
8	Compressing local atomic neighbourhood descriptors 2022 ·Apollo (University of Cambridge) ·Gábor Cśanyi, James P. Darby, James R. Kermode	40
9	Ab Initio Prediction of Metal-Organic Framework Structures 2020 ·Chemistry of Materials ·James P. Darby, Mihails Arhangelskis, Athanassios D. Katsenis, Joseph M. Marrett, Tomislav Friščić, Andrew J. Morris	24
10	Ab initio Structure Prediction Methods for Battery Materials 2019 ·Johnson Matthey Technology Review ·(unknown), Matthew L. Evans, James P. Darby, Bora Karasulu, Can P. Koçer, J. Nelson, Andrew J. Morris	18
11	Correction to Structure Prediction of Li–Sn and Li–Sb Intermetallics for Lithium-Ion Batteries Anodes 2018 ·Chemistry of Materials ·Martin Mayo, James P. Darby, Matthew L. Evans, J. Nelson, Andrew J. Morris	2

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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