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T. Hama

4 papers hereh-index 6119 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CE3
  • cond-mat.mtrl-sci1
same name
  • T. Hama — 15 papers, h 27
  • T. Hama — 8 papers, h 5
  • T. Hama — 2 papers, h 2
  • T. Hama — 2 papers, h 3
  • T. Hama — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedAI-driven Inverse Design System for Organic Molecules

7 citations · 14 across the 4 of their papers we have counts for

collaborators

4 papers

cond-mat.mtrl-sci2022

AI powered, automated discovery of polymer membranes for carbon capture

Ronaldo Giro, Hsianghan Hsu, Akihiro Kishimoto +6

The generation of molecules with Artificial Intelligence (AI) is poised to revolutionize materials discovery. Potential applications range from development of potent drugs to effic…

cs.CE2021★ 3 cited

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…

cs.CE2020★ 4 cited

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…

cs.CE2020★ 7 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.