Peter Hess

Teodoro Laino

Ivano Tavernelli

Alain Vaucher

Fiona Shortt de Hernandez

Sascha Hausberg

Leo Gross

Katharina Kaiser

Jason Crain

Kim Martineau

Florian Albrecht

News

Research

Technical note

El Niño may provide an early warning signal for toxic algae blooms on Lake Erie  

Resolving the first anti-aromatic carbon allotrope

Meet AI-Hilbert, a new algorithm for transforming scientific discovery

Thieme trains IBM RXN for Chemistry with high-quality data

The first atomic-resolution images of extraterrestrial molecules

Computer simulations identify new ways to boost the skin’s natural protectors

Scanning probe microscopy technique could open the door to molecular machines

Low-temperature scanning tunneling microscopy and atomic force microscopy.

Atom and Molecule Manipulation

Defect Analysis and Thermal Effects of Nanolasers and Emitters

DATENE 

NeurIPS 2024

Exploratory Science

Physical Sciences

Science

Materials Discovery

Healthcare

Accelerated Discovery

IBM has been at the forefront of computer science research since the field’s inception. Our research today focuses on achieving breakthroughs in automation, information processing, and computation. Our goal is to complement and extend human performance — and advance society as a whole. 

Computer Science

We’re working on automation, information processing, and computation research to complement and extend human performance and advance society.

We're working on groundbreaking research aiming to revolutionize the field of life sciences. We're solving some of the most important issues humanity faces with artificial intelligence, developing novel and unconventional computing structures, as well as mathematical and computational modeling.

Life Sciences

Our groundbreaking AI research aiming to solve some of the most important issues humanity faces.

It can take over 10 years to come up with new materials. At IBM Research, we’re looking to accelerate the discovery process using new AI methods, robotics, the hybrid cloud, and quantum computers. Our goal is to unlock new properties and materials to address global challenges in years not decades.

Our long history of research has had an enduring impact on computer science, operations research, and information theory. We’re currently focused on optimization, probability, complexity, geometry of data, as well as linear and multi-linear algebra, to deliver tools that are fundamental to big data and AI.

Mathematical Sciences

We’re focused on foundational mathematical research with the aim of delivering tools to that are fundamental to big data and AI.

Our physical sciences researchers seek to understand materials and their properties through advanced characterization methods, explore novel devices and materials for new computational platforms, and apply physics to improve AI algorithms and interpretability.



Selectivity in single-molecule reactions by tip-induced redox chemistry

Mathematical constants and variables in white boxes float on a black background, connected with green arrows

Physical Sciences

Our work

Meet AI-Hilbert, a new algorithm for transforming scientific discovery

Resolving the first anti-aromatic carbon allotrope

El Niño may provide an early warning signal for toxic algae blooms on Lake Erie

Scanning probe microscopy technique could open the door to molecular machines

Computer simulations identify new ways to boost the skin’s natural protectors

The first atomic-resolution images of extraterrestrial molecules

Projects

Atom and Molecule Manipulation

Publications

MDLab: AI frameworks for Carbon Capture and Battery Materials

Perovskite nanocrystal self-assemblies in 3D hollow templates

Direct Observation of Fully Spin-Polarized Tunnel Current Between Quantum Spins Using a Single Molecule Sensor

A Large Encoder-Decoder Polymer-Based Foundation Model

Multi-View Mixture-of-Experts for Predicting Molecular Properties Using SMILES, SELFIES, and Graph-Based Representations

Agnostic Causality-Driven Enhancement of Chemical Foundation Models on Downstream Tasks

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