プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Dr. Alexsandro K.に依頼

Brazil

PhD Physicist | Computational Materials, Materials Informatics, Machien Learning & Local AI model Solutions

プロフィール概要

PhD in Physics with strong expertise in computational materials science, molecular dynamics simulations, and high-performance computing (HPC). I have extensive experience working with Fortran, Python, MPI, and GPU/CUDA to develop and optimise scientific simulation codes. My research at Research Centre For Green House Gases Innovation (RCGI) focuses on applying molecular simulations and machine learning techniques to materials science problems, including interfacial phenomena, transport properties, and predictive modelling. I am currently integrating local/open-source large language models (such as Qwen and Hermes) into research workflows to create intelligent tools for materials modelling and data analysis, with an emphasis on on-premise and privacy-preserving solutions. I have authored peer-reviewed publications and developed registered scientific software (INPI). In addition to academic research, I run Multiscale, a research and innovation company, where I work as a researcher and consultant on scientific computing and AI applications for materials. I am available for collaborative research projects, computational modelling, code modernisation (Fortran to modern Python/HPC), and the development of custom AI-assisted tools for scientific applications.

専門分野

• ☆ Molecular Modeling
• ☆ Molecular Modeling
• ☆ Python
• ☆ SQL
• ☆ Java
• ☆ Tensorflow
• ☆ LaTex
• ☆ Scikit-learn
• ☆ Markup Languages
• ☆ Software Development
• ☆ Web Application Development
• ☆ Cloud Application Development
• ☆ UI/UX Design
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Literature Search
• ☆ Gap Analysis

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Market Research, User Research, Scientific and Technical Research

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Image Processing, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing

職務経験

Amazon Wildfire-Alert System

Systemica Inteligência em Sustentabilidade S.A.

1月 2026 - 1月 2026

CarbonSpore

Systemica Inteligência em Sustentabilidade S.A.

1月 2022 - 12月 2022

学歴

Doctoral (Física dos Materiais e Mecânica)

Universidade de São Paulo

3月 2014 - 8月 2018

B.S. (Physics)

Universidade Federal de Santa Maria

1月 2008 - 12月 2011

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Kirch, A., Mutisya, S.M., Sánchez, V.M., De Almeida, J.M., Miranda, C.R.(2018). Fresh Molecular Look at Calcite-Brine Nanoconfined Interfaces . Journal of Physical Chemistry C. 122. (11). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 6117-6127.

Kirch, A., De Almeida, J.M., Miranda, C.R.(2018). Multilevel Molecular Modeling Approach for a Rational Design of Ionic Current Sensors for Nanofluidics . Journal of Chemical Theory and Computation. 14. (6). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 3113-3120.

Mutisya, S.M., Kirch, A., De Almeida, J.M., Sánchez, V.M., Miranda, C.R.(2017). Molecular Dynamics Simulations of Water Confined in Calcite Slit Pores: An NMR Spin Relaxation and Hydrogen Bond Analysis . Journal of Physical Chemistry C. 121. (12). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 6674-6684.