Organic reactivity from mechanism to machine learning
As more data are introduced in the building of models of chemical reactivity, the mechanistic
component can be reduced until 'big data'applications are reached. These methods no …
component can be reduced until 'big data'applications are reached. These methods no …
Materials nanoarchitectonics from atom to living cell: A method for everything
Promoted understanding of nanostructures and their functions significantly rely on rapid
progress of nanotechnology within a few decades. It would be a fruitful way to consider …
progress of nanotechnology within a few decades. It would be a fruitful way to consider …
Bio-interactive nanoarchitectonics with two-dimensional materials and environments
Like the proposal of nanotechnology by Richard Feynman, the nanoarchitectonics concept
was initially proposed by Masakazu Aono. The nanoarchitectonics strategy conceptually …
was initially proposed by Masakazu Aono. The nanoarchitectonics strategy conceptually …
Materials nanoarchitectonics in a two-dimensional world within a nanoscale distance from the liquid phase
K Ariga - Nanoscale, 2022 - pubs.rsc.org
Promoted understanding of nanotechnology has enabled the construction of functional
materials with nanoscale-regulated structures. Accordingly, materials science requires one …
materials with nanoscale-regulated structures. Accordingly, materials science requires one …
Artificial intelligence and automation in computer aided synthesis planning
In this perspective we deal with questions pertaining to the development of synthesis
planning technologies over the course of recent years. We first answer the question: what is …
planning technologies over the course of recent years. We first answer the question: what is …
Mechanistic Inference from Statistical Models at Different Data-Size Regimes
The chemical sciences are witnessing an influx of statistics into the catalysis literature.
These developments are propelled by modern technological advancements that are leading …
These developments are propelled by modern technological advancements that are leading …
Transformer performance for chemical reactions: Analysis of different predictive and evaluation scenarios
The prediction of chemical reaction pathways has been accelerated by the development of
novel machine learning architectures based on the deep learning paradigm. In this context …
novel machine learning architectures based on the deep learning paradigm. In this context …
Liquid interfacial nanoarchitectonics: Molecular machines, organic semiconductors, nanocarbons, stem cells, and others
K Ariga - Current Opinion in Colloid & Interface Science, 2023 - Elsevier
The concept of nanoarchitectonics has been proposed as an extensional development of
nanotechnology through fusions with material science and the other fields. In …
nanotechnology through fusions with material science and the other fields. In …
Machine learning applications for chemical reactions
Abstract Machine learning (ML) approaches have enabled rapid and efficient molecular
property predictions as well as the design of new novel materials. In addition to great …
property predictions as well as the design of new novel materials. In addition to great …
Nanoarchitectonics on living cells
In this review article, the recent examples of nanoarchitectonics on living cells are briefly
explained. Not limited to conventional polymers, functional polymers, biomaterials …
explained. Not limited to conventional polymers, functional polymers, biomaterials …