85 citations · 99 across the 4 of their papers we have counts for
4 papers
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Yuri Alexeev, Maximilian Amsler, Paul Baity +124
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…
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…