Advancing computational and data-driven methods for the design and discovery of nanoporous materials

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Advancing computational and data-driven methods for the design and discovery of nanoporous materials

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Adaptive energy reference for machine-learning models of the electronic density of states

How data structures affect generalization in Kernel Methods and Deep Learning

Comparative analysis of search approaches to discover donor molecules for organic solar cells

Magnetically and optically active edges in phosphorene nanoribbons

Optical Metasurfaces for the Next-Generation Biosensing and Bioimaging

RAFT: Regularized Adversarial Fine-Tuning to Enhance Deep Reinforcement Learning for Self-Parking

Micropreparative Gel Electrophoresis for Purification of Nanoscale Bioconjugates

Insights from an extensive triaxial testing campaign on a shale for comparative site characterization of a deep geological repository

Methods for high-throughput synthesis and screening of peptide libraries

Hybrid organic/metal-oxide shells on semiconductor nanocrystals via colloidal atomic layer deposition

How Reproducible is the Synthesis of Zr-Porphyrin Metal-Organic Frameworks? An Interlaboratory Study

Residual-based attention in physics-informed neural networks

Modeling friction and wear using an adaptive discrete-continuum coupling

Live-cell imaging powered by computation

Solid-phase peptide synthesis in 384-well plates

Influence of model uncertainty and long term deformations in action effects calculation in reinforced concrete structures

A diversity-driven discovery of potential nanoporous materials for energy-related applications

Computational Homogenization for Inverse Design of Surface-based Inflatables

Engineering Frustrated Lewis Pair Active Sites in Porous Organic Scaffolds for Catalytic CO2 Hydrogenation

Design and Synthesis of Bio-based Amphiphiles from Lignocellulosic Biomass