6 citations · 15 across the 5 of their papers we have counts for
5 papers
L^2M^3OF: A Large Language Multimodal Model for Metal-Organic Frameworks
Jiyu Cui, Fang Wu, Haokai Zhao +4
Large language models have demonstrated remarkable reasoning capabilities across diverse natural language tasks. However, comparable breakthroughs in scientific discovery are more…
Language-Based Bayesian Optimization Research Assistant (BORA)
Abdoulatif Cissé, Xenophon Evangelopoulos, Vladimir V. Gusev +1
Many important scientific problems involve multivariate optimization coupled with slow and laborious experimental measurements. These complex, high-dimensional searches can be defi…
Domain Knowledge Injection in Bayesian Search for New Materials
Zikai Xie, Xenophon Evangelopoulos, Joseph Thacker +1
In this paper we propose DKIBO, a Bayesian optimization (BO) algorithm that accommodates domain knowledge to tune exploration in the search space. Bayesian optimization has recentl…
Cluster Exploration using Informative Manifold Projections
Stavros Gerolymatos, Xenophon Evangelopoulos, Vladimir Gusev +1
Dimensionality reduction (DR) is one of the key tools for the visual exploration of high-dimensional data and uncovering its cluster structure in two- or three-dimensional spaces.…
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' Hypotheses
Abdoulatif Cisse, Xenophon Evangelopoulos, Sam Carruthers +2
Robotics and automation offer massive accelerations for solving intractable, multivariate scientific problems such as materials discovery, but the available search spaces can be da…