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20172024
most citedQuantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group

211 citations · 969 across the 37 of their papers we have counts for

collaborators
Showing 2023Show all

9 papers · 1 filter

q-bio.BM2023

Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats

Wei Chen, Yihui Ren, Ai Kagawa +9

Fast screening of drug molecules based on the ligand binding affinity is an important step in the drug discovery pipeline. Graph neural fingerprint is a promising method for develo…

cond-mat.mtrl-sci2023★ 1 cited

Emulating Expert Insight: A Robust Strategy for Optimal Experimental Design

Matthew R. Carbone, Hyeong Jin Kim, Chandima Fernando +7

The challenge of optimal design of experiments (DOE) pervades materials science, physics, chemistry, and biology. Bayesian optimization has been used to address this challenge in v…

quant-ph2023★ 211 cited

Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group

Alberto Di Meglio, Karl Jansen, Ivano Tavernelli +43

Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage…

cs.CL2023★ 8 cited

Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge

Gilchan Park, Byung-Jun Yoon, Xihaier Luo +3

Background: Identification of the interactions and regulatory relations between biomolecules play pivotal roles in understanding complex biological systems and the mechanisms under…

cs.CV2023★ 11 cited

SwiFT: Swin 4D fMRI Transformer

Peter Yongho Kim, Junbeom Kwon, Sunghwan Joo +6

Modeling spatiotemporal brain dynamics from high-dimensional data, such as functional Magnetic Resonance Imaging (fMRI), is a formidable task in neuroscience. Existing approaches f…

cond-mat.mtrl-sci2023

Accurate, uncertainty-aware classification of molecular chemical motifs from multi-modal X-ray absorption spectroscopy

Matthew R. Carbone, Phillip M. Maffettone, Xiaohui Qu +2

Accurate classification of molecular chemical motifs from experimental measurement is an important problem in molecular physics, chemistry and biology. In this work, we present neu…

physics.flu-dyn2023★ 20 cited

Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing

Xihaier Luo, Ahsan Kareem, Shinjae Yoo

Deciding how to optimally deploy sensors in a large, complex, and spatially extended structure is critical to ensure that the surface pressure field is accurately captured for subs…

cs.CV2023★ 4 cited

UVCGAN v2: An Improved Cycle-Consistent GAN for Unpaired Image-to-Image Translation

Dmitrii Torbunov, Yi Huang, Huan-Hsin Tseng +6

An unpaired image-to-image (I2I) translation technique seeks to find a mapping between two domains of data in a fully unsupervised manner. While initial solutions to the I2I proble…

q-bio.GN2023

Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response

Xihaier Luo, Sean McCorkle, Gilchan Park +6

There are various sources of ionizing radiation exposure, where medical exposure for radiation therapy or diagnosis is the most common human-made source. Understanding how gene exp…