Check out the latest papers about Machine Learning, Biology, Physics, and more.

Citrine Informatics is the world leader in generative AI for materials and chemicals product development.

Fusing chemistry, robotics, computation, machine learning and Chemify’s programming language to digitize molecule creation

Accelerate R&D with AI-powered Materials Informatics solutions. Optimize workflows, gain insights, and innovate faster. Learn more today

Accelerating Chemistry & Materials R&D Accelerating Chemistry & Materials R&D with Artificial Intelligence Entalpic helps industries use cutting-edge AI research to discover new materials and chemistry, enabling smarter and more sustainable industrial processes. OUR PUBLICATIONS → We are building a generative AI platform to drive breakthrough discoveries and co-develop strong intellectual property for our customers.https://aqua-tapir-413535.hostingersite.com/wp-content/uploads/2025/03/ENTALPIC-Intro-V4.mp4 As pioneers in AI for Science, our mission is to master fundamental chemistry towards a more efficient and sustainable future. Value Proposition   An innovative approach built on 3 pillars AI Expertise We are a team of machine learning experts with a proven track record in developing sta

M. Zhong, K. Tran, Y. Min, C. Wang, Z. Wang, C. T. Dinh, P. De Luna, Z. Yu, A. S. Rasouli, P. Brodersen, S. Sun, O. Voznyy, C. S. Tan, M. Askerka, F. Che, M. Liu, A. Seifitokaldani, Y. Pang, S. C. Lo, A. Ip, Z. Ulissi… · co2, chemical, per, energy, ethylene

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Through the integration of artificial intelligence, engineering, physical theory, and applied research, we are changing the way materials are designed, developed, and discovered. Pushing the boundaries of materials… · materials, research, way, science, physical

Iterate on Your Chip Design & Verification 10x Faster by Collaborating with ChipAgents in Your Favorite Code Editor

Synth est un média indépendant d'information et d'analyse critique sur les enjeux tech et son impact politique sur nos vies

we apply data-driven techniques to discover materials that work in the real world. through novel machine learning approaches and close collaboration with experimental partners, we bridge the gap between computational predictions and practical applications. our group is funded by the carl-zeiss foundation as the “czs research group polymers in energy applications”. we are part of the friedrich-schiller-university jena and the helmholz institute for polymers in energy applications jena. other major funding sources are merck and intel (awases research center), openphilanthropy, the helmholtz foundation model initiative (sol-ai project), the german research foundation (dfg, via the graduate school “coin”), and the carl zeiss foundation (via other projects such as nano@liver).

Data-driven recommendation of agents, temperature, and equivalence ratios for organic synthesis Electron flow matching for generative reaction mechanism prediction Neural spectral prediction for structure elucidation… · generative, prediction, chemical, data, driven

Welcome to the 3D Materials Lab. We use computational tools, including first-principles methods, high-throughput computing, and machine learning, to discover and design functional materials for energy conversion and… · energy, team, materials, first, rensselaer

M. Zhong, K. Tran, Y. Min, C. Wang, Z. Wang, C. T. Dinh, P. De Luna, Z. Yu, A. S. Rasouli, P. Brodersen, S. Sun, O. Voznyy, C. S. Tan, M. Askerka, F. Che, M. Liu, A. Seifitokaldani, Y. Pang, S. C. Lo, A. Ip, Z. Ulissi… · co2, chemical, per, energy, ethylene

AI-assisted research is an exciting prospect – no more laborious keyword searches, scanning abstracts, and organizing PDFs – but do they live up to the promise? I explored this question using Elicit’s Systematic Review… · review, studies, differences, word, work

The Hutchison research group in the Department of Chemistry at the University of Pittsburgh develops new materials, as well as functional microscale and nanoscale devices. We focus on building electronic materials from… · congratulations, chemical, chemistry, materials, molecular

Ask, verify, and refine evidence in real time. We are Researchers and Developers from 1. Enter your topic.2. Receive a PRISMA-grade review.3. Get evidence-based answers to any question on your topic. · evidence, topic, review, ask, verify

ExoMatter’s AI-powered platform accelerates R&D – helping R&D teams find high-performance, sustainable inorganic materials in seconds.

Computer-aided Design Tools for Organic Synthesis

Accurate Prediction Models,Robust Software Frameworks,Curated Materials Datasets Software frameworks for robust AI in materials science. Library for building 3-body graph networks for materials science developed by the… · materials, science, developed, library, virtual

We solved literature intelligence at scale. We power regulatory submissions and market access for biopharma, deliver comprehensive evidence synthesis for academic researchers, and build RL environments and training data for frontier AI labs.

Artificial Intelligence for Functional Materials Artificial Intelligence (AI) is revolutionizing materials science by bridging the gap between research and industry. By collecting and analyzing high-quality datasets, AI… · die, und, material, artificial, intelligence

Discover Delvify — the AI-powered materials platform built for fashion. Centralize sourcing, reduce waste, and go to market 35% faster. Book your demo today.

Read the full paper here: ACS Nano Letters – Superionic Surface Li-Ion Transport in Carbonaceous Materials Graph deep learning is transforming materials science by enabling accurate, scalable, and efficient predictions… · materials, matgl, computational, scan, read

Explore the latest advancements in Stable Diffusion technology as presented by the Stability AI Applied Research team. Traditional FID scores may no longer effectively measure the quality of modern generative… · sdxl, text, models, diffusion, midjourney

Allchemy’s drug-discovery platform combines state-of-the-art computational synthesis with AI algorithms to predict molecular properties. Within minutes, Allchemy creates thousands of synthesizable lead candidates meeting… · dataset, allchemy, drug, user, platform

We solved literature intelligence at scale. We power regulatory submissions and market access for biopharma, deliver comprehensive evidence synthesis for academic researchers, and build RL environments and training data for frontier AI labs.

Synthesis by Hart Laboratories LLC is an indie game about simple nodes with simple relationships, that combine to do complex visually appealing things.

Meta-Flux - AI-Powered Drug Discovery Platform

A code-free platform that integrates state-of-the-art computational chemistry tools—including agentic AI, pipeline design, data preprocessing, modeling, and post-analysis—enabling academic and industry users to… · data, design, modeling, cookies, website

M. Zhong, K. Tran, Y. Min, C. Wang, Z. Wang, C. T. Dinh, P. De Luna, Z. Yu, A. S. Rasouli, P. Brodersen, S. Sun, O. Voznyy, C. S. Tan, M. Askerka, F. Che, M. Liu, A. Seifitokaldani, Y. Pang, S. C. Lo, A. Ip, Z. Ulissi… · co2, chemical, per, energy, ethylene

M. Zhong, K. Tran, Y. Min, C. Wang, Z. Wang, C. T. Dinh, P. De Luna, Z. Yu, A. S. Rasouli, P. Brodersen, S. Sun, O. Voznyy, C. S. Tan, M. Askerka, F. Che, M. Liu, A. Seifitokaldani, Y. Pang, S. C. Lo, A. Ip, Z. Ulissi… · co2, chemical, per, energy, ethylene

Python library for computational thermodynamics Workflows for computations of a range of properties based on density functional theory Thermodynamic database development and uncertainty quantification · python, library, computational, thermodynamics, workflows

Luc De Raedt and his team at the lab for Declarative Languages and Artificial Intelligence at KU Leuven were awarded a prestigious Advanced Grant by the European Research Council. These very competitive grants are… · data, project, automate, intelligence, synth

Integrate artificial intelligence technology into the science of chemistry, with a particualr focus on the investigation of chemical property, reactivity, and selectivity as well as the mechanism underlying them.

Synthesee Design

AISCIA Informatics combines AI, Quantum Simulations, and Advanced Data Science to accelerate the discovery of chemicals and materials. Transform your R&D with intelligent, scalable solutions.

Molecular Architects at the University of Toronto. Department of Chemistry.

Computer-aided Design Tools for Organic Synthesis

Chemical.AI’s software leverages AI to help scientists uncover innovative synthetic pathways for both novel and established target molecules. Our platform ChemAIRS® uses advanced AI-driven retrosynthetic analysis and an unparalleled suite of features to streamline synthesis design, and accelerate research in pharmaceuticals, biotech, and academia.

We develop an AI-powered autonomous protein engineering agent that efficiently navigates the vast protein sequence space, generates novel candidate sequences, and evaluates their suitability for various design tasks. Our… · combines, protein, drug, discovery, diverse

Material Sense; platform for materials design and materials research, offering lectures, masterclasses and more at the forefront of material innovation in relation to sensoriality and sustainability.