activity
19942026
most citedChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis

529 citations · 2.8k across the 74 of their papers we have counts for

collaborators

75 papers

math.PR2026

Power-law hypothesis and (un)fairness of PageRank on undirected multi-type PAMs

Christian Borgs, Florian Henning, Remco van der Hofstad +1

The preferential attachment model (PAM) describes the sequential growth of a network based on the "rich-get-richer" principle. Several versions of it have become established for mo…

math.PR2025

Travel Bans vs. Other Disease Mitigation Measures: A Mathematical Analysis

Christian Borgs, Karissa Huang, Geng Zhao

As the world grows increasingly connected, infectious disease transmission and outbreaks have become a pressing global concern for public health officials and policymakers. While p…

cond-mat.mtrl-sci2025★ 9 cited

System of Agentic AI for the Discovery of Metal-Organic Frameworks

Theo Jaffrelot Inizan, Sherry Yang, Aaron Kaplan +12

Generative models and machine learning promise accelerated material discovery in MOFs for CO2 capture and water harvesting but face significant challenges navigating vast chemical…

math.PR2024

A Law of Large Numbers for SIR on the Stochastic Block Model: A Proof via Herd Immunity

Christian Borgs, Karissa Huang, Christian Ikeokwu

In this paper, we study the dynamics of the susceptible-infected-recovered (SIR) model on a network with community structure, namely the stochastic block model (SBM). As usual, the…

q-bio.QM2024

Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design

Shengchao Liu, Divin Yan, Weitao Du +6

Artificial intelligence models have shown great potential in structure-based drug design, generating ligands with high binding affinities. However, existing models have often overl…

cs.CL2024

Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo

Nakul Rampal, Kaiyu Wang, Matthew Burigana +11

The rapid advancement in artificial intelligence and natural language processing has led to the development of large-scale datasets aimed at benchmarking the performance of machine…