Metamaterials design via and for computation

2024-8-27

Exploring the role of metamaterials in achieving advantage in optical computing

2024-8-27

Synergy between photonic metamaterials and AI

2024-8-27

Computational challenges in additive manufacturing for metamaterials design

2024-8-27

Computational design of mechanical metamaterials

2024-8-27

Programmable responsive metamaterials for mechanical computing and robotics

2024-8-27

Computational design of art-inspired metamaterials

2024-8-27

AI-recognized mitochondrial phenotype enables identification of drug targets

2024-8-22

Deep learning large-scale drug discovery and repurposing

2024-8-21

Accelerating predictions of electronic transport and superconductivity

2024-8-16

Bridging the gap between artificial intelligence and natural intelligence

2024-8-16

Enhancing structured light with optimized metasurfaces

2024-8-16

Network model with internal complexity bridges artificial intelligence and neuroscience

2024-8-16

A machine learning tool to efficiently calculate electron–phonon coupling

2024-8-8

Accelerating the calculation of electron–phonon coupling strength with machine learning

2024-8-8

Computational electrochemistry of oxygen 250 years after Priestley

2024-7-30

250 years of oxygen chemistry

2024-7-30

Publisher Correction: A perspective on brain-age estimation and its clinical promise

2024-7-30

A perspective on brain-age estimation and its clinical promise

2024-7-24

Multi-task learning for medical foundation models

2024-7-19

Overcoming data scarcity in biomedical imaging with a foundational multi-task model

2024-7-19

A multi-task learning strategy to pretrain models for medical image analysis

2024-7-19

Free-form metamaterials design with isotropic materials

2024-7-18

Boosting graph neural networks with virtual nodes to predict phonon properties

2024-7-16

Virtual node graph neural network for full phonon prediction

2024-7-12

Unlocking T-cell receptor–epitope insights with structural analysis

2024-7-10

Structure-based prediction of T cell receptor recognition of unseen epitopes using TCRen

2024-7-10

Free-form and multi-physical metamaterials with forward conformality-assisted tracing

2024-7-9

Enhancing human mobility research with open and standardized datasets

2024-7-2

Software in science is ubiquitous yet overlooked

2024-7-1

Promising directions of machine learning for partial differential equations

2024-6-28

An invitation to social scientists

2024-6-26

The exciting potential and daunting challenge of using GPS human-mobility data for epidemic modeling

2024-6-19

The whole picture in digital pathology

2024-6-19

An algorithmic framework for synthetic cost-aware decision making in molecular design

2024-6-17

Large-scale photonic computing with nonlinear disordered media

2024-6-14

Linguistics-based formalization of the antibody language as a basis for antibody language models

2024-6-14

A nonlinear dimension for machine learning in optical disordered media

2024-6-14

Data as the next challenge in atomistic machine learning

2024-6-12

Computational morphology and morphogenesis for empowering soft-matter engineering

2024-6-7

Scalable design of orthogonal DNA barcode libraries

2024-6-7

Advancing computational sustainability in higher education

2024-6-7

Systematic simulations and analysis of transition states using committor functions

2024-6-5

Computing the committor with the committor to study the transition state ensemble

2024-6-5

Integrating computational and experimental worlds

2024-6-3

Accelerating scientific progress with preprints

2024-5-29

Discrete latent embeddings illuminate cellular diversity in single-cell epigenomics

2024-5-24

Outsourcing eureka moments to artificial intelligence

2024-5-24

Automated discovery of symbolic laws governing skill acquisition from naturally occurring data

2024-5-24

Designing semiconductor materials and devices in the post-Moore era by tackling computational challenges with data-driven strategies

2024-5-23