Multi-Sigma Blog

Multi-Sigma Blog

Bringing the Power of AI to R&D

Articles on Multi-Sigma update information and tips on how to make the most of it.

Driving Innovation with AI Chain Analysis: Integrating Experimental Data for High-Performance MOF Development
Chain Analysis, Precise Optimization

Driving Innovation with AI Chain Analysis: Integrating Experimental Data for High-Performance MOF Development

Driving Innovation with AI Chain Analysis: Integrating Experimental Data for High-Performance MOF Development Introduction: Revealing the Whole Picture Through AI Chain M...
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Exploration of next-generation solar cell materials using Multi-Sigma

Exploration of
next-generation solar cell materials using Multi-Sigma

Using the AI analysis platform Multi-Sigma®, we will construct a prediction model of formation energy and bandgap based on material descriptors. The models were linked fo...
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Multi-Objective Optimization of MEMS Sensor Manufacturing Process with Multi-Sigma®

Multi-Objective Optimization of MEMS Sensor Manufacturing Process with Multi-Sigma®

We used the AI analysis platform, Multi-Sigma®, to predict and analyze factors and optimize the manufacturing of high-performance MEMS sensors 1. Prediction of performanc...
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Balancing Density Control and CO₂ Adsorption Capacity in MOF Synthesis using Multi-Sigma®

Balancing Density Control and CO₂ Adsorption Capacity in MOF Synthesis using Multi-Sigma®

This case study showcases how AIZOTH's AI analytics platform, Multi-Sigma®, is utilized to optimize the synthesis of Metal-Organic Frameworks (MOFs), achieving both optim...
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Hydration Free Energy Prediction in Molecular Design Using Multi-Sigma®

Hydration Free Energy Prediction in Molecular Design Using Multi-Sigma®

This case study introduces the use of AIZOTH’s AI analytics platform,Multi-Sigma®, to predict, analyze key factors influencing, and optimizehydration free energy, a criti...
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Dimensionality Reduction (1): Principal Component Analysis

Dimensionality Reduction (1): Principal Component Analysis

Introduction This article explains the concept of dimensionality reduction techniques. Specifically, we introduce a method called Principal Component Analysis (PCA) to pe...
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Prediction Model Integration and Multi-Objective Optimization in Pharmaceutical Development Using Multi-Sigma®

Prediction Model Integration and Multi-Objective Optimization in Pharmaceutical Development Using Multi-Sigma®

This case study showcases Aizoth's Multi-Sigma®, leveraging its AI chain analysis and multi-objective optimization to balance drug activity (pIC50) and side effects for B...
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Optimizing Sleep Conditions through AI Chain Analysis using Multi-Sigma®
Chain Analysis

Optimizing Sleep Conditions through AI Chain Analysis using Multi-Sigma®

AIZOTH’s AI analysis platform Multi-Sigma® combines three AI models to find sleep conditions that minimize fatigue and maximize concentration the next day. 1. Training an...
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Tailor-made Medical Care for Patients with Chronic Low Back Pain Using Multi-Sigma®
Precise Optimization

Tailor-made Medical Care for Patients with Chronic Low Back Pain Using Multi-Sigma®

Multi-Sigma® learns from data on patients with chronic low back pain to propose the most suitable treatment plan for each patient. 1. Prediction of Treatment Outcomes Usi...
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Monte Carlo Simulation using AI
Monte Carlo Simulation

Monte Carlo Simulation using AI

Monte Carlo simulation is a powerful technique for estimating possible outcomes in systems with random input variables. In complex environments where an explicit objectiv...
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