Best tools to enhance research efficiency in materials science in 2025

Wandb AI

Systematic tracking and visualization for machine learning experiments.

Mida

Effortlessly optimize websites through fast A/B testing.

Prompts

Track and visualize machine learning experiments seamlessly.

Ascenscia

Voice-activated assistant for hands-free lab data management.

Remyx

AI development studio for efficient model design and deployment.

Stellr

Digital documentation for scientists to streamline research.

GPT comparison tool

Compare different AI output settings for optimized results.

Labnote

Organize and track research data efficiently.

Metaflow

Build and manage machine learning projects effortlessly.

Sigopt

Intelligent experimentation for optimizing complex processes.

MLFlow

Manage and track the entire machine learning lifecycle efficiently.

OpenAI o1

Advanced language model for critical thinking and reasoning tasks.

Yandex YaLM

Advanced language model for generating human-like text.

StableLM

Open-source language models for text and code generation.

MuJoCo

Dynamic simulation environment for realistic physics modeling.

Exllama

Memory-efficient model for AI applications with quantized weights.

fibr.ai

AI-driven conversion optimization for marketers.

Amplitude

Insightful analytics for understanding user interactions across platforms.

Parea

Manage and enhance the performance of large language models.