activity
20202026
most citedCRYSPNet: Crystal Structure Predictions via Neural Network

41 citations · 44 across the 8 of their papers we have counts for

collaborators

8 papers

cond-mat.supr-con2026

Synthesis of Bulk Superconducting LiNbO Crystals through CaH Reduction

Ryan Paxson, Stephanie J. Hong, Bicky S. Moirangthem +17

We have synthesized layered superconducting LiNbO crystals through a bulk phase transformation from LiNbO single crystals via CaH reduction. As the Nb valence is reduce…

cond-mat.mtrl-sci2026

Real-time Multi-instrument Autonomous Discovery of Novel Phase-change Memory Materials

Chih-Yu Lee, Haotong Liang, Ryan Kim +4

Autonomous labs enable the integration of automated experiment execution, data analysis and decision making. The main challenge remains the integration of diverse data streams from…

cond-mat.mtrl-sci2026

Mechanism-Resolved PFM of Ferroionic and Ferroelectric Responses in Thickness-Gradient Hf0.5Zr0.5O2 Libraries

Yu Liu, Yi-Xiu Chen, Haotong Liang +2

Resolving growth mechanisms and thickness evolution of functional properties is one of the key tasks in materials discovery and optimization involving thin-film materials, traditio…

cond-mat.mtrl-sci2024

Real-time experiment-theory closed-loop interaction for autonomous materials science

Haotong Liang, Chuangye Wang, Heshan Yu +6

Iterative cycles of theoretical prediction and experimental validation are the cornerstone of the modern scientific method. However, the proverbial "closing of the loop" in experim…

cond-mat.mtrl-sci2022

Benchmarking Active Learning Strategies for Materials Optimization and Discovery

Alex Wang, Haotong Liang, Austin McDannald +2

Autonomous physical science is revolutionizing materials science. In these systems, machine learning controls experiment design, execution, and analysis in a closed loop. Active le…

cond-mat.mtrl-sci2022★ 3 cited

A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation

Logan Saar, Haotong Liang, Alex Wang +4

The next generation of physical science involves robot scientists - autonomous physical science systems capable of experimental design, execution, and analysis in a closed loop. Su…

cond-mat.mtrl-sci2021

A Semi-Supervised Approach for Automatic Crystal Structure Classification

Satvik Lolla, Haotong Liang, A. Gilad Kusne +2

The structural solution problem can be a daunting and time consuming task. Especially in the presence of impurity phases, current methods such as indexing become more unstable. In…

cond-mat.mtrl-sci2020★ 41 cited

CRYSPNet: Crystal Structure Predictions via Neural Network

Haotong Liang, Valentin Stanev, A. Gilad Kusne +1

Structure is the most basic and important property of crystalline solids; it determines directly or indirectly most materials characteristics. However, predicting crystal structure…