Francisco Fernando Ramirez

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The efficient utilization of resources in accelerated materials science necessitates flexible, reconfigurable software-defined research workflows. We demonstrate a brokering approach to modular and asynchronous research orchestration to integrate multiple ...

Compliance with good research data management practices means trust in the integrity of the data, and it is achievable by full control of the data gathering process. In this work, we demonstrate tooling which bridges these two aspects, and illustrate its u ...

The COVID-19 pandemic disrupted chemistry teaching practices globally as many courses were forced online, necessitating adaptation to the digital platform. The biggest impact was to the practical component of the chemistry curriculum-the so-called wet lab. ...

The ever-growing availability of computing power and the sustained development of advanced computational methods have contributed much to recent scientific progress. These developments present new challenges driven by the sheer amount of calculations and d ...

Non-trivial relationships link individual materials properties to device-level performance. Device optimization therefore calls for new automation approaches beyond the laboratory bench with tight integration of different research methods. This study demon ...

Francisco Fernando Ramirez

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Brokering between tenants for an international materials acceleration platform

A bridge between trust and control: computational workflows meet automated battery cycling

Virtual Computational Chemistry Teaching Laboratories-Hands-On at a Distance

AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance

Autonomous Battery Optimization by Deploying Distributed Experiments and Simulations