activity
20082025
most citedPathways Towards Ferroelectricity in Hafnia

519 citations · 2.4k across the 44 of their papers we have counts for

collaborators

44 papers

cs.AI2025★ 1 cited

MSQA: Benchmarking LLMs on Graduate-Level Materials Science Reasoning and Knowledge

Jerry Junyang Cheung, Shiyao Shen, Yuchen Zhuang +3

Despite recent advances in large language models (LLMs) for materials science, there is a lack of benchmarks for evaluating their domain-specific knowledge and complex reasoning ab…

cs.AI2025★ 2 cited

LLM-Augmented Chemical Synthesis and Design Decision Programs

Haorui Wang, Jeff Guo, Lingkai Kong +4

Retrosynthesis, the process of breaking down a target molecule into simpler precursors through a series of valid reactions, stands at the core of organic chemistry and drug develop…

cs.CE2025

polyGen: A Learning Framework for Atomic-level Polymer Structure Generation

Ayush Jain, Rampi Ramprasad

Synthetic polymeric materials underpin fundamental technologies in the energy, electronics, consumer goods, and medical sectors, yet their development still suffers from prolonged…

cond-mat.soft2024★ 17 cited

Polymer Composites Informatics for Flammability, Thermal, Mechanical and Electrical Property Predictions

Huan Tran, Chiho Kim, Rishi Gurnani +8

Polymer composite performance depends significantly on the polymer matrix, additives, processing conditions, and measurement setups. Traditional physics-based optimization methods…

physics.chem-ph2024★ 2 cited

An Informatics Framework for the Design of Sustainable, Chemically Recyclable, Synthetically-Accessible and Durable Polymers

Joseph Kern, Yongliang Su, Will Gutekunst +1

We present a novel approach to design durable and chemically recyclable ring-opening polymerization (ROP) class polymers. This approach employs digital reactions using virtual forw…

cs.CE2024★ 28 cited

A Physics-Enforced Neural Network to Predict Polymer Melt Viscosity

Ayush Jain, Rishi Gurnani, Arunkumar Rajan +2

Achieving superior polymeric components through additive manufacturing (AM) relies on precise control of rheology. One key rheological property particularly relevant to AM is melt…