152 citations · 152 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2026
MEIDNet: Multimodal generative AI framework for inverse materials design
Anand Babu, Rogério Almeida Gouvêa, Pierre Vandergheynst +1
In this work, we present Multimodal Equivariant Inverse Design Network (MEIDNet), a framework that jointly learns structural information and materials properties through contrastiv…
cond-mat.mtrl-sci2024
SciQu: Accelerating Materials Properties Prediction with Automated Literature Mining for Self-Driving Laboratories
Anand Babu
Assessing different material properties to predict specific attributes, such as band gap, resistivity, young modulus, work function, and refractive index, is a fundamental requirem…
cs.LG2020★ 152 cited
Chip Placement with Deep Reinforcement Learning
Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan +19
In this work, we present a learning-based approach to chip placement, one of the most complex and time-consuming stages of the chip design process. Unlike prior methods, our approa…