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Ishikawa Lab
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The lab is a theoretical and computational chemistry group that uncovers how catalysts and batteries work inside the computer.

AboutAbout the lab
Understanding how catalysts work through computation.
The Ishikawa Lab uses computation to uncover how catalysts and batteries work.
Using first-principles calculations, which solve the fundamental equations of quantum mechanics, the lab studies the behavior of materials related to energy and the environment.
From the information obtained, the lab solves reaction rate equations to predict how well a catalytic reaction will proceed.
The lab also works on simulations of entire reactors and on proposing new materials through machine learning.
Key terms
- First-principles calculation
- A method that starts from the fundamental equations of quantum mechanics and calculates the behavior of matter without using experimental values.
- Catalyst
- A substance that makes a chemical reaction proceed more easily without being changed itself.
- Reaction kinetics
- The field that investigates, by formulating equations, how fast chemical reactions proceed.
NewsLab news
A paper from the lab was accepted by Langmuir
A student's research result was accepted by J. Catal.
A student's research result was accepted by npj Comput. Mater.
A joint study with the National Institute for Materials Science was accepted by STAM
A joint study with Shinshu University was accepted by J. Phys. Chem. C
ResearchResearch themes
Using quantum chemistry and first-principles calculations, the lab elucidates how materials related to energy, such as catalysts and batteries, work. Based on the information obtained, it solves reaction rate equations, and connects this work to simulations of entire reactors and to the proposal of new materials through machine learning.
*Illustrative imageAtomic-scale theoretical and computational chemistry
The lab deals with catalysts, batteries, and fuel cells using ab initio calculations that solve the fundamental equations of quantum mechanics. It predicts the heat of reaction and the activation barrier, showing how readily a reaction occurs.
*Illustrative imageMicrokinetics
In catalytic reactions, what matters is how much of the raw material has reacted (conversion) and how much of the desired product has been formed (selectivity). The lab obtains values for each elementary reaction with first-principles calculations, and solves together the equations made up of many elementary reactions.
*Illustrative imageReactor simulation
Once the reaction rates are known, the flows of matter and heat can be combined to calculate an entire reactor. Using computational fluid dynamics (CFD) software, the lab is taking on realistic simulations that include chemical reactions.
*Illustrative imageSearching for new materials with machine learning
Because it is difficult to propose new materials through calculation alone, the lab uses machine learning. It generates data through theoretical simulations and proposes new materials using regression, clustering, and neural networks.
MembersFaculty
The members of the Ishikawa Lab consist of faculty and doctoral, master's, and undergraduate students.As of 2026
- Associate ProfessorAtsushi IshikawaPublications ↗
- Project Assistant ProfessorMaxim Shishkin
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Zeolites within an ECM” Savannah River National Laboratory / CC BY-SA 4.0 (cropped)
- Atomic-scale theoretical and computational chemistry: “Rutile-unit-cell-3D-balls” Ben Mills / Public domain (cropped)
- Microkinetics: “Platinum nanoparticles” PieroSpeleo / CC BY-SA 4.0 (cropped)
- Reactor simulation: “Ba-vesta-2000-reactor” Бахтиёр Абдуллаев / CC BY-SA 3.0 (cropped)
- Searching for new materials with machine learning: “Framework structure of the FAU-type zeolite” Nao1958 / CC0 (cropped)
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