7 citations · 18 across the 4 of their papers we have counts for
5 papers
Toward Human-AI Co-creation to Accelerate Material Discovery
Dmitry Zubarev, Carlos Raoni Mendes, Emilio Vital Brazil +5
There is an increasing need in our society to achieve faster advances in Science to tackle urgent problems, such as climate changes, environmental hazards, sustainable energy syste…
Molecule Generation Experience: An Open Platform of Material Design for Public Users
Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu +10
Artificial Intelligence (AI)-driven material design has been attracting great attentions as a groundbreaking technology across a wide spectrum of industries. Molecular design is pa…
Molecular Inverse-Design Platform for Material Industries
Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu +17
The discovery of new materials has been the essential force which brings a discontinuous improvement to industrial products' performance. However, the extra-vast combinatorial desi…
AI-driven Inverse Design System for Organic Molecules
Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu +7
Designing novel materials that possess desired properties is a central need across many manufacturing industries. Driven by that industrial need, a variety of algorithms and tools…
Data Infrastructure and Approaches for Ontology-Based Drug Repurposing
Stephen Boyer, Thomas Griffin, Sarath Swaminathan +2
We report development of a data infrastructure for drug repurposing that takes advantage of two currently available chemical ontologies. The data infrastructure includes a database…