Ken‐ichi Nomura

2.9k citations

131 papers · 2.1k indexed · h-index 25

Ceramics and Composites top 10%
Mechanics of Materials top 5%
- Energetic Materials and Combustion 7
Materials Chemistry top 5%
- Machine Learning in Materials Science 21
- Electronic and Structural Properties of Oxides 6
Gastroenterology top 10%
Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 13
Genetics
- Chronic Lymphocytic Leukemia Research 10
Hardware and Architecture
- Parallel Computing and Optimization Techniques 7
Computer Networks and Communications
- Advanced Data Storage Technologies 6
Geophysics
- High-pressure geophysics and materials 6

Co-authors: Aiichiro Nakano Priya Vashishta Rajiv K. Kalia Masafumi Taniwaki Subodh Tiwari Sungwook Hong Fuyuki Shimojo Pankaj Rajak
Cited by: Ceramics and Composites Mechanics of Materials Materials Chemistry
Journals: Journal of the American Chemical Society (1 paper)Physical Review Letters (6 papers)The Journal of Chemical Physics (1 paper)
Partner nations: United States Japan Thailand

In The Last Decade

Ken‐ichi Nomura

126 papers receiving 2.0k citations

Peers

Countries citing papers authored by Ken‐ichi Nomura

Since Specialization

Citations

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

Fields of papers citing papers by Ken‐ichi Nomura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken‐ichi Nomura. 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 Ken‐ichi Nomura. The network helps show where Ken‐ichi Nomura may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ken‐ichi Nomura, 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 Ken‐ichi Nomura Line = papers co-authored together Ken‐ichi Nomura links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Allegro-FM: Toward an Equivariant Foundation Model for Exascale Molecular Dynamics Simulations The Journal of Physical Chemistry Letters ·Ken‐ichi Nomura,Shinnosuke Hattori,Satoshi Ohmura,Ikumi Kanemasu,Kohei Shimamura,Nabankur Dasgupta,Aiichiro Nakano,Rajiv K. Kalia,Priya Vashishta	2025	2
2	Alkali hydroxide (LiOH, NaOH, KOH) in water: Structural and vibrational properties, including neutron scattering results The Journal of Chemical Physics ·Ruru Ma,Nitish Baradwaj,Ken‐ichi Nomura,Aravind Krishnamoorthy,Rajiv K. Kalia,Aiichiro Nakano,Priya Vashishta	2024	2
3	Molecular Autonomous Pathfinder Using Deep Reinforcement Learning The Journal of Physical Chemistry Letters ·Ken‐ichi Nomura,Ankit Mishra,Tian Sang,Rajiv K. Kalia,Aiichiro Nakano,Priya Vashishta	2024	2
4	Catalysis in Extreme Field Environments: A Case Study of Strongly Ionized SiO₂ Nanoparticle Surfaces Journal of the American Chemical Society ·Thomas Linker,Ritika Dagar,Alexandra J. Feinberg,Samuel Sahel-Schackis,Ken‐ichi Nomura,Aiichiro Nakano,Fuyuki Shimojo,Priya Vashishta,Uwe Bergmann,Matthias F. Kling,Adam M. Summers	2024	2
5	Thermoelectric Grain Boundary in Monolayer MoS₂ The Journal of Physical Chemistry C ·Ayu Irie,Anikeya Aditya,Ken‐ichi Nomura,Shogo Fukushima,Shinnosuke Hattori,Rajiv K. Kalia,Aiichiro Nakano,Vadim Rodin,Fuyuki Shimojo,Shigetaka Tomiya,Priya Vashishta	2024	2
6	Kibble–Zurek scaling of nonequilibrium phase transition in barium titanate Applied Physics Letters ·Nitish Baradwaj,Aravind Krishnamoorthy,Ken‐ichi Nomura,Aiichiro Nakano,Rajiv K. Kalia,Priya Vashishta	2023	1
7	Induction and Ferroelectric Switching of Flux Closure Domains in Strained PbTiO₃ with Neural Network Quantum Molecular Dynamics Nano Letters ·Thomas Linker,Ken‐ichi Nomura,Shogo Fukushima,Rajiv K. Kalia,Aravind Krishnamoorthy,Aiichiro Nakano,Kohei Shimamura,Fuyuki Shimojo,Priya Vashishta	2023	6
8	Squishing Skyrmions: Symmetry-Guided Dynamic Transformation of Polar Topologies Under Compression The Journal of Physical Chemistry Letters ·Thomas Linker,Ken‐ichi Nomura,Shogo Fukushima,Rajiv K. Kalia,Aravind Krishnamoorthy,Aiichiro Nakano,Kohei Shimamura,Fuyuki Shimojo,Priya Vashishta	2022	5
9	Exploring far-from-equilibrium ultrafast polarization control in ferroelectric oxides with excited-state neural network quantum molecular dynamics Science Advances ·Thomas Linker,Ken‐ichi Nomura,Anikeya Aditya,Shogo Fukshima,Rajiv K. Kalia,Aravind Krishnamoorthy,Aiichiro Nakano,Pankaj Rajak,Kohei Shimmura,Fuyuki Shimojo,Priya Vashishta	2022	17
10	Neural Network for Principle of Least Action Journal of Chemical Information and Modeling ·Beibei Wang,Shane Jackson,Aiichiro Nakano,Ken‐ichi Nomura,Priya Vashishta,Rajiv K. Kalia,Mark J. Stevens	2022	0
11	Neural Network Quantum Molecular Dynamics, Intermediate Range Order in GeSe₂, and Neutron Scattering Experiments The Journal of Physical Chemistry Letters ·Pankaj Rajak,Nitish Baradwaj,Ken‐ichi Nomura,Aravind Krishnamoorthy,José Pedro Rino,Kohei Shimamura,Shogo Fukushima,Fuyuki Shimojo,Rajiv K. Kalia,Aiichiro Nakano,Priya Vashishta	2021	5
12	Sulfurization of MoO₃ in the Chemical Vapor Deposition Synthesis of MoS₂ Enhanced by an H₂S/H₂ Mixture The Journal of Physical Chemistry Letters ·Sungwook Hong,Subodh Tiwari,Aravind Krishnamoorthy,Ken‐ichi Nomura,Chunyang Sheng,Rajiv K. Kalia,Aiichiro Nakano,Fuyuki Shimojo,Priya Vashishta	2021	15
13	Dielectric Polymer Property Prediction Using Recurrent Neural Networks with Optimizations Journal of Chemical Information and Modeling ·Antonina L. Nazarova,Liqiu Yang,Kuang Liu,Ankit Mishra,Rajiv K. Kalia,Ken‐ichi Nomura,Aiichiro Nakano,Priya Vashishta,Pankaj Rajak	2021	38
14	PND: Physics-informed neural-network software for molecular dynamics applications SoftwareX ·Taufeq Mohammed Razakh,Beibei Wang,Shane Jackson,Rajiv K. Kalia,Aiichiro Nakano,Ken‐ichi Nomura,Priya Vashishta	2021	12
15	Autonomous reinforcement learning agent for stretchable kirigami design of 2D materials npj Computational Materials ·Pankaj Rajak,Beibei Wang,Ken‐ichi Nomura,Ye Luo,Aiichiro Nakano,Rajiv K. Kalia,Priya Vashishta	2021	25
16	Atomistic Simulations of Biofouling and Molecular Transfer of a Cross-linked Aromatic Polyamide Membrane for Desalination Langmuir ·Md Symon Jahan Sajib,Ying Wei,Ankit Mishra,Lin Zhang,Ken‐ichi Nomura,Rajiv K. Kalia,Priya Vashishta,Aiichiro Nakano,Sohail Murad,Tao Wei	2020	36
17	Application of First-Principles-Based Artificial Neural Network Potentials to Multiscale-Shock Dynamics Simulations on Solid Materials The Journal of Physical Chemistry Letters ·Masaaki Misawa,Shogo Fukushima,Akihide Koura,Kohei Shimamura,Fuyuki Shimojo,Subodh Tiwari,Ken‐ichi Nomura,Rajiv K. Kalia,Aiichiro Nakano,Priya Vashishta	2020	12
18	Optically Induced Three-Stage Picosecond Amorphization in Low-Temperature SrTiO₃ The Journal of Physical Chemistry Letters ·Thomas Linker,Subodh Tiwari,Shogo Fukushima,Rajiv K. Kalia,Aravind Krishnamoorthy,Aiichiro Nakano,Ken‐ichi Nomura,Kohei Shimamura,Fuyuki Shimojo,Priya Vashishta	2020	5
19	Defect Healing in Layered Materials: A Machine Learning-Assisted Characterization of MoS₂ Crystal Phases The Journal of Physical Chemistry Letters ·Sungwook Hong,Ken‐ichi Nomura,Aravind Krishnamoorthy,Pankaj Rajak,Chunyang Sheng,Rajiv K. Kalia,Aiichiro Nakano,Priya Vashishta	2019	23
20	Energetic Performance of Optically Activated Aluminum/Graphene Oxide Composites ACS Nano ·Yue Jiang,Sili Deng,Sungwook Hong,Jiheng Zhao,Sidi Huang,Chi‐Chin Wu,Jennifer L. Gottfried,Ken‐ichi Nomura,Ying Li,Subodh Tiwari,Rajiv K. Kalia,Priya Vashishta,Aiichiro Nakano,Xiaolin Zheng	2018	116

About Ken‐ichi Nomura

Ken‐ichi Nomura is a scholar working on Hardware and Architecture, Materials Chemistry and Genetics, having authored 131 papers that have together received 2.1k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (21 papers), Lymphoma Diagnosis and Treatment (13 papers), Chronic Lymphocytic Leukemia Research (10 papers), Energetic Materials and Combustion (7 papers), Parallel Computing and Optimization Techniques (7 papers), Electronic and Structural Properties of Oxides (6 papers), Advanced Data Storage Technologies (6 papers) and High-pressure geophysics and materials (6 papers). The work is most often cited by research in Ceramics and Composites (101 citations), Mechanics of Materials (421 citations) and Materials Chemistry (772 citations). Ken‐ichi Nomura has collaborated with scholars based in United States, Japan and Thailand. Frequent co-authors include Aiichiro Nakano, Priya Vashishta, Rajiv K. Kalia, Masafumi Taniwaki, Subodh Tiwari, Sungwook Hong, Fuyuki Shimojo, Pankaj Rajak, Shigeo Horiike and Adri C. T. van Duin. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and The Journal of Chemical Physics.

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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