activity
20202026
most citedAlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories

30 citations · 47 across the 9 of their papers we have counts for

collaborators

11 papers

cond-mat.mtrl-sci2026

Combining physical models with dynamically acquired experimental information for the optimization of multicomponent NASICON fast ionic conductors in a self-driving laboratory

Bernardus Rendy, Yuxing Fei, Tanjin He +9

Elemental substitution within existing structural frameworks is a widely applied strategy for developing advanced materials. Yet, optimizing target properties while maintaining pha…

cond-mat.mtrl-sci2026

The Precursor Genome: A Pairwise Reaction Dataset for Solid-State Synthesis

Lauren N. Walters, Matthew J. McDermott, Bernardus Rendy +3

Solid-state reactions remain the dominant route to inorganic materials, yet no large, machine-readable dataset reports their experimental protocols and outcomes with consistent pro…

cond-mat.mtrl-sci2026

Agentic LLM Reasoning in a Self-Driving Laboratory for Air-Sensitive Lithium Halide Spinel Conductors

Yuxing Fei, Bernardus Rendy, Xiaochen Yang +7

Self-driving laboratories promise to accelerate materials discovery. Yet current automated solid-state synthesis platforms are limited to ambient conditions, thereby precluding the…

cs.AI2026★ 3 cited

CASCADE: Cumulative Agentic Skill Creation through Autonomous Development and Evolution

Xu Huang, Junwu Chen, Yuxing Fei +3

Large language model (LLM) agents currently depend on predefined tools or early-stage tool generation, limiting their adaptability and scalability to complex scientific tasks. We i…

cond-mat.mtrl-sci2025★ 5 cited

Dara: Automated multiple-hypothesis phase identification and refinement from powder X-ray diffraction

Yuxing Fei, Matthew J. McDermott, Christopher L. Rom +2

Powder X-ray diffraction (XRD) is a foundational technique for characterizing crystalline materials. However, the reliable interpretation of XRD patterns, particularly in multiphas…

cond-mat.mtrl-sci2025

Ion correlations explain kinetic selectivity in diffusion-limited solid state synthesis reactions

Vir Karan, Max C. Gallant, Yuxing Fei +2

Establishing viable solid-state synthesis pathways for novel inorganic materials remains a major challenge in materials science. Previous pathway design methods using pair-wise rea…

cond-mat.mtrl-sci2025★ 1 cited

Synthetic accessibility and sodium ion conductivity of the NaAPO (NAP) high-temperature sodium superionic conductor framework

Lauren N. Walters, Yuxing Fei, Bernardus Rendy +13

Advancement of solid state electrolytes (SSEs) for all solid state batteries typically focuses on modification of a parent structural framework for improved conductivity, \textit{e…

cond-mat.mtrl-sci2024★ 30 cited

AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories

Yuxing Fei, Bernardus Rendy, Rishi Kumar +10

The recent advent of autonomous laboratories, coupled with algorithms for high-throughput screening and active learning, promises to accelerate materials discovery and innovation.…

cs.LG2022

ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols

Zheren Wang, Kevin Cruse, Yuxing Fei +7

Applying AI power to predict syntheses of novel materials requires high-quality, large-scale datasets. Extraction of synthesis information from scientific publications is still cha…

cond-mat.mtrl-sci2021★ 2 cited

Dataset of Solution-based Inorganic Materials Synthesis Recipes Extracted from the Scientific Literature

Zheren Wang, Olga Kononova, Kevin Cruse +8

The development of a materials synthesis route is usually based on heuristics and experience. A possible new approach would be to apply data-driven approaches to learn the patterns…

cs.DL2020★ 6 cited

COVIDScholar: An automated COVID-19 research aggregation and analysis platform

Amalie Trewartha, John Dagdelen, Haoyan Huo +8

The ongoing COVID-19 pandemic has had far-reaching effects throughout society, and science is no exception. The scale, speed, and breadth of the scientific community's COVID-19 res…